The 9th International Workshop on Computational Transportation Science Annual Meeting of Transportation Management Research Association

The 9th International Workshop on Computational Transportation Science Annual Meeting of Transportation Management Research Association Workshop Program Hosted By: Transportation Management Research Association Organized by: Lanzhou Jiaotong University Supported by: National Natural Science Foundation of China July 13-15, 2017 Lanzhou, China The 9th International Workshop on Computational Transportation Science (CTS-2017) The 9th International Workshop on Computational Transportation Science (CTS-2017) & Annual Meeting of Transportation Management Research Association, will be held from 14 to 15 July 2017 in Lanzhou Jiaotong University, Lanzhou, China It is hosted by Transportation Management Research Association, organized by Lanzhou Jiaotong University This workshop covers all areas of transportation research, with a focus on quantitative methods and analyses of transport systems The purpose of this workshop is to bring together leading experts and promising young researchers in the field of transportation to share their recent researches, and to provide an opportunity for scientific discussion and interaction in relatively small groups International Advisory Committee Prof Xiaowen Fu University of Sydney Prof Ziyou Gao Beijing Jiaotong University Prof Hai-jun Huang Beihang University Prof Hong K Lo The Hong Kong University of Science and Technology Prof Qiang Meng National University of Singapore Prof Yanfeng Ouyang University of Illinois Prof Jiuh-Biing Sheu National Taiwan University Prof S.C.Wong The University of Hong Kong Prof Hai Yang The Hong Kong University of Science and Technology Prof Yafeng Yin University of Michigan, Ann Arbor Prof Lei Zhang University of Maryland Prof Xuesong Zhou Arizona State University Academic Committee Chair: Hai-jun Huang, Beihang University Committee members： Ying-en Ge Shanghai Maritime University Renyong Guo Inner Mongolia University Fang He Tsinghua University Rui Jiang Beijing Jiaotong University Xiaopeng Li University of South Florida Zhi-chun Li Huazhong University of Science and Technology Tianliang Liu Beihang University Jiancheng Long HeFei University of Technology Shoufeng Ma Tianjin University Huimin Niu Lanzhou Jiaotong University Hu Shao China University of Mining and Technology Huijun Sun Beijing Jiaotong University Zhijia Tan Huazhong University of Science and Technology Tieqiao Tang Beihang University Lijun Tian Fuzhou University Qiong Tian Beihang University Jianjun Wu Beijing Jiaotong University Feng Xiao Southwestern University of Finance and Economic Lixing Yang Beijing Jiaotong University Xin Yang Beijing Jiaotong University Lu Zhen Shanghai University Jing Zhou Nanjing University Organizing Committee Chair: Huimin Niu, Lanzhou Jiaotong University (hmniu@mail.lzjtu.cn) Co-chair: Xuesong Zhou, Arizona State University, (xzhou74@asu.edu) Committee members： Qiong Tian Yingzhou Li Xiaoping Guang Jianqiang Wang Bin lv Zhiqiang Tian Li Wang Beihang University Lanzhou Jiaotong University Lanzhou Jiaotong University Lanzhou Jiaotong University Lanzhou Jiaotong University Lanzhou Jiaotong University Lanzhou Jiaotong University Contents Schedule Conference Agenda Session Agenda Keynote Speech Modelling the Potential for Aviation Liberalization in Central Asia-Market analysis and implications for the One-Belt-One-Road initiative Xiaowen Fu .9 User equilibrium of a single-entry traffic corridor with continuous scheduling preference Hai-Jun Huang 15 Adaptive coordinated traffic control for stochastic demand Hong K Lo 16 Electric Vehicle Fleet Size and Trip Pricing for One-Way Car-Sharing Services Considering Vehicle Relocation and Personnel Assignment Qiang Meng 17 Planning Reliable Service Facilities under Disruption Risks and Traffic Equilibrium in A Continuous Space Yanfeng Ouyang 18 Integrated Emergency Transportation-Logistics Management: Potential Issues and Challenges Jiuh-Biing Sheu .19 A predictive continuum dynamic user-optimal model for the simultaneous departure time and route choice problem in a polycentric city S.C WONG 20 Managing rail transit peak-hour congestion with fare-reward schemes Hai Yang 16 Modeling Spatial Effects of Dynamic Pricing in Ride-Sourcing Markets Yafeng Yin 17 Integrated Travel Behavior and Dynamic Traffic Models for Real-Time Applications on Large-Scale Networks Lei Zhang 18 Enabling transportation system intelligence: Hierarchical estimation of traveler behavior and dynamic traffic network state using a computational graph approach Xuesong Zhou .19 Coordinating assignment and routing decisions in transit vehicle schedules: A variablesplitting Lagrangian decomposition approach for solution symmetry breaking Huimin Niu 25 Lanzhou maps, campus routes 25 Volunteer contact information 25 Conference Agenda 13 July 14 July 14:00pm-22:00pm Registration, Yuyuan Hotel Open & Welcome Venue: Conference Hall, International Exchanges and Exhibition Center, Lanzhou Jiaotong University Time: 8:30am9:15am Opening address Prof Ping Wang, Secretary of Lanzhou Jiaotong University 8:30am-9:00am 9:00am-9:15am Group Photograph and Coffee Break Keynote Speech Venue: Conference Hall, International Exchanges and Exhibition Center, Lanzhou Jiaotong University Time: 9:15am12:00pm Host Prof Yafeng Yin Topic: Managing rail transit peak-hour congestion with fare-reward schemes Prof Hai Yang, Chair Professor, Department of Civil and 9:15am-9:45am Environmental Engineering, Hong Kong University of Science and Technology 9:45am-10:15am 10:15am-10:45am 10:45am-11:00am 11:00am-11:30am 11:30am-12:00pm Topic: Integrated Travel Behavior and Dynamic Traffic Models for Real-Time Applications on Large-Scale Networks Prof Lei Zhang, Herbert Rabin Distinguished Professor, Engineering and Director of the U.S DOT National Transportation Center, University of Maryland Topic: Adaptive coordinated traffic control for stochastic demand Prof Hong K Lo, Department Head and Chair Professor, Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology Coffee Break Host Prof Xuesong Zhou Topic: Modeling Spatial Effects of Dynamic Pricing in RideSourcing Markets Prof Yafeng Yin, Professor, Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor Topic: Coordinating assignment and routing decisions in transit vehicle schedules: A variable-splitting Lagrangian decomposition approach for solution symmetry breaking Prof Huimin Niu, Professor, School of Traffic and Transportation, Lanzhou Jiaotong University 12:00pm-14:30pm Lunch, Yuyuan Hotel Session, Time: 14:30pm-16:30pm Session I Session II Session III Chair: S.C.Wong Chair: Lei Zhang Chair: Hong K Lo Venue: MBA Venue: Medium Venue: MBA Center, Center, the 18th floor room B th conference room the 18 floor room A Session IV Chair: Jiuh-Biing Sheu Venue: Medium conference room Session, Time: 16:30pm-18:30pm Session V Session VI Chair: Zhi-chun Li Chair: Xiaowen Fu Venue: MBA Venue: MBA Center, Center, the 18th floor room B the 18th floor room A 18:30pm-20:00pm 15 July Banquet, Yuyuan Hotel Keynote Speech Venue: Conference Hall, International Exchanges and Exhibition Center, Lanzhou Jiaotong University Time: 8:00am10:40am Host Prof Qiang Meng Topic: User equilibrium of a single-entry traffic corridor with continuous scheduling preference 8:00am-8:30am Prof Hai-jun Huang, Professor, Vice President of Beihang University 8:30am-9:00am 9:00am-9:30am 9:30am-9:40am 9:40am-10:10am Topic: A predictive continuum dynamic user-optimal model for the simultaneous departure time and route choice problem in a polycentric city Prof S.C Wong, Chair Professor, Department of Civil Engineering, The University of Hong Kong Topic: Planning Reliable Service Facilities under Disruption Risks and Traffic Equilibrium in A Continuous Space Prof Yanfeng Ouyang, Professor, Department of Civil and Environmental Engineering, University of Illinois at UrbanaChampaign (UIUC) Coffee Break Host Prof Yanfeng Ouyang Topic: Modelling the Potential for Aviation Liberalization in Central Asia-Market analysis and implications for the One-BeltOne-Road initiative Prof Xiaowen Fu, Associate Professor,Institute of Transport and Logistics Studies,University of Sydney Topic: Electric Vehicle Fleet Size and Trip Pricing for One-Way Car-Sharing Services Considering Vehicle Relocation and Personnel 10:10am-10:40am Assignment Prof Qiang Meng, Professor, Department of Civil and Environmental, National University of Singapore Session, Time: 10:40am-12:00pm Session VII Session VIII Chair: Jianjun Wu Chai: Xiaopeng Li Venue: International Exchanges and Venue: Medium conference room Exhibition Center 12:00pm-14:30pm Lunch, Yuyuan Hotel Academic Committee Closed-door Meeting Venue: Conference room, the 3th floor, Yuyuan Hotel Time: 12:30pm14:30pm Keynote Speech Venue: Conference Hall, International Exchanges and Exhibition Center, Lanzhou Jiaotong University Time: 14:30pm15:30pm Host Prof Hai Yang Topic: Integrated Emergency Transportation-Logistics Management: Potential Issues and Challenges 14:30pm-15:00pm Prof Jiuh-Biing Sheu, Distinguished Professor, Department of Business Administration, National Taiwan University 15:00pm-15:30pm Topic: Enabling transportation system intelligence: Hierarchical estimation of traveler behavior and dynamic traffic network state using a computational graph approach Prof Xuesong Zhou, School of Sustainable Engineering and the Built Environment, Arizona State University Presentation and Closing Ceremony Venue: International Exchanges and Exhibition Center Time: 15:30pm16:00pm Host Prof Huimin Niu (Lanzhou Jiaotong University) Speech by leader of Management Science and 15:30pm-15:40pm Engineering Society 15:40pm-15:50pm Speech by Leader of Lanzhou Jiaotong University 15:50pm-16:00pm Best Paper Award Session Agenda 14 July Session I Venue: Medium conference room Time: 14:30pm-16:30pm Chair: S.C.Wong 14:30pm-14:50pm Step tolling in an activity based bottleneck model Zhichun Li (Huazhong University of Science and Technology) 14:50pm-15:10pm On the Stochastic Fundamental Diagram for Freeway Traffic: Model Development, Analytical Properties, Validation, and Extensive Applications Xiaobo Qu (University of Technology Sydney) 15:10pm-15:30pm Exploring the impact of mid-link sources and sinks on the shape of macroscopic fundamental diagrams with automatic number plate recognition data Shoufeng Lu (Changsha University of Science & Technology) 15:30pm-15:50pm Ridesharing with Autonomous Vehicles Considering Activity Duration Uncertainty Xiaolei Guo (University of Windsor) 15:50pm-16:10pm 16:10pm-16:30pm Proactive demand management in an integrated team-based train timetabling modelling framework for a scheduled transportation system Lingyun Meng (Beijing Jiaotong University) A parsimonious model for trajectory smoothing and joint signal optimization with connected automated vehicles Xiaopeng Li (University of South Florida) Session II Venue: MBA Center, the 18 floor room A Time: 14:30pm-16:30pm Chair: Lei Zhang Heterogeneous effects of ambient temperature and vehicle auxiliary loads on electric vehicles energy consumption efficiency: A stochastic 14:30pm-14:50pm frontier model with random coefficients Kai Liu (Dalian University of Technology) 14:50pm-15:10pm Can carbon trading reduce airlines’ CO2 th 15:10pm-15:30pm 15:30pm-15:50pm emissions under CNG2020 strategy? An analysis through a Network weak disposability DEA Qiang Cui (Southeast University) Estimating carbon dioxide emission of freeway traffic: A spatiotemporal grid-based model Zhengbing He (Beijing Jiaotong University) Urban taxi vehicle’s air pollution and emission reduction strategies based on GPS data Xiaowei Hu (Harbin Institute of Technology) 15:50pm-16:10pm 16:10pm-16:30pm Impact of the Built Environment on the Vehicle Emission Effects of Road Pricing Policies: A simulation case study Shaopeng Zhong (Dalian University of Technology) Negativity bias in travel information and its impact on choice behavior Li Tang (Xihua University) Session III Venue: MBA Center, the 18 floor room B Time: 14:30pm-16:30pm Chair: Hong K Lo Maximizing Route Diversity Redundancy in Network Design Problem 14:30pm-14:50pm Xiangdong Xu (Tongji University) th 14:50pm-15:10pm 15:10pm-15:30pm 15:30pm-15:50pm 15:50pm-16:10pm 16:10pm-16:30pm A network approach for modeling and control of large-scale multimodal traffic flow dynamics Nan Zheng (Beihang University) Building and analyzing the robustness of interdependent hazmat transportation network Peng Hu (Southwest Jiaotong University) Study on Vehicle Routing Problem Based on Improved Particle Swarm Optimization Algorithm Guoliang Shen (Chang'an University) Determination of Key Components in Automobile Braking System based on ABC Classification used FMECA Yaping Luo (Chang'an University) Mechanisms of flight delay propagation in dynamic edgeweighted networks Weiwei Wu (Nanjing University of Aeronautics and Astronautics) Session IV Venue: Medium conference room 16:30pm-16:50pm 16:50pm-17:10pm Time: 16:30pm-18:30pm Chair: Jiuh-Biing Sheu Short-Term Forecasting of Passenger Demand under OnDemand Ride Services: A Spatio-Temporal Deep Learning Approach Xiqun Chen (Zhejiang University) A New Generalized Variational Inequality Formulation for the Bimodal Stochastic Traffic Assignment Problem Chi Xie (Shanghai Jiao Tong University) 11:00am-11:20am 11:20am-11:40am 11:40am-12:00am The Influence of Peak-Avoidance Incentives on Subway Commuters' Traveling Behavior in Beijing Hang Zhao (Beijing Jiaotong University) Distribution route multi-objective optimisation of dangerous goods considering the time reliability Xiaoyan Jia (Lanzhou Jiaotong University) Impact of personalized route recommendation in the cooperation vehicle-infrastructure systems on the network traffic flow evolution Jianqiang Wang (Lanzhou Jiaotong University) Modelling the Potential for Aviation Liberalization in Central Asia-Market analysis and implications for the One-Belt-One-Road initiative Xiaowen Fu Institute of Transport and Logistics Studies, University of Sydeny, Australia, xiaowen.fu@sydeny.edu.au Abstract: This study analyzes aviation markets in land-locked countries in Central Asia, namely Uzbekistan, Kazakhstan, Turkmenistan, Tajikistan, and Kyrgyzstan In these countries, there is no close substitute for the air travel mode due to the tyranny of distance Aviation liberalization can therefore be of special importance to these countries This study uses observed industry panel data spanning from 2007 to 2015 to estimate airline entry patterns in origin-destination markets Econometric estimates for domestic and international markets are subsequently benchmarked, and route groups are paired by alternative matching algorithms These investigations allow us to quantify market potential and predict airline route entry in counterfactual scenarios, so that the effects of different liberalization schemes can be simulated Our empirical results identified substantial market potential in the Central Asia – China aviation market in terms of serviceable routes upon further liberalization These findings are in sharp contrast to the industry reality that the Central Asia to China market has lagged the developments to other markets such as former Soviet Union states and some Europe countries Policy and managerial implications are provided as the end of the presentation Dr Xiaowen Fu is an Associate Professor in the Institute of Transport and Logistics Studies, the University of Sydney His main research area is transport economics which covers issues such as competition policy and government regulation, efficiency benchmarking, transport demand modelling and industrial organization He has been the principal investigator of 15 research grants and published more than 40 journal articles He has been the guest editor of journal special issues, and organized more than major international conferences in the capacity of conference chair He is on the editorial boards of three journals, and is an editor of the journal of Transport Policy, associate editor of the book series “Advances in Airlines Economics” Dr Fu has provided advisory and economic modeling services to organizations such as the Boeing Commercial Aircraft, New Zealand Commerce Commission, Australian Competition and Consumer Commission, Government of British Columbia in Canada, Australian Competition Tribunal, Hong Kong Civil Aviation Department, Hong Kong Transport and Housing Bureau, Japan Rail (East), and OECD He is a member of the Air Transport Research Society (ATRS), International Maritime Economists Association (IAME), the World Conference of Transportation Research (WCTR) and the American Economics Association User equilibrium of a single-entry traffic corridor with continuous scheduling preference Chuan-Yao Li, Hai-Jun Huang School of Economics and Management, Beihang University Abstract: In this paper, we investigate the user equilibrium (UE) of a single-entry traffic corridor with continuous scheduling preference (CSP) and develop methods to obtain the solution We show that CSP can perfectly eliminate the non-differential point on cumulative inflow curve in bottleneck problem In the corridor problem with only early arrivals, CSP lets inflow rate first increase then decrease, which leads us to design a novel iterative process for obtaining the whole outflow rate curve and then the cumulative inflow curve In the case with both early and late arrivals, CSP lets the first shock wave occur in the middle of the corridor, rather than at the entry point, which make the UE flow pattern more smooth and stable An approximate UE assignment is recursively generated by utilizing the method of graphical construction on the base of the cumulative inflow curve of early arrivals After the first shock wave, other shock waves still exist but gradually weaken and finally, the inflow and outflow rates approach to zero Prof Hai-jun Huang is the Cheng Kong professor of the Beijing University of Aeronautics and Astronautics (BUAA) He is now the vice president of the BUAA and had served as the dean of the School of Economics and Management and the BUAA's Graduate School From 2000 to 2004, he was the vice director of the Department of Management Sciences, National Natural Science Foundation of China He received his Ph.D in transport operations research from BUAA in 1992 His research interests include road traffic flow models, transport network modeling, travel behavior analysis and congested road-use pricing He has published more than 140papers in such international journals as Transportation Research (Part A, Part B, Part C, Part E), Operations Research, Transportation Science, JORS, EJOR, N&SE, Physical Review E, Physical A, Networks and Spatial Economics, Journal of Transport Economics and Policy, Journal of Advanced Transportation and etc He co-authored the book “Mathematical and Economic Theory of Road Pricing” published by Elsevier in 2005 In 1998, he got the National Excellent Young Researcher Grant, China He is now on the editorial boards of more than 15 journals, including Transportation Research Part B, JAT, Transportmetrica, Transportation Letters/The International Journal of Transportation Research, Journal of Transportation Systems Engineering and Information Technology, Journal of Systems Engineering Theory and Practice From 2011, he has become a member of the International Advisory Committee, ISTTT He is now the vice presidents of the China Systems Engineering Society, the China Society of Management Science and Engineering, the China Society of OM/OR/ME Now he is leading a '973' project of the National Basic Research Program, as the PI Adaptive coordinated traffic control for stochastic demand Hong K Lo Hong Kong University of Science and Technology Abstract: Traffic arrivals at intersections are inherently uncertain due to variable traffic conditions This paper develops an adaptive coordinated traffic control approach via the notion of Phase Clearance Reliability (PCR) (Lo, 2006) In contrast with a conventional green extension scheme, the proposed approach adjusts signal offsets adaptively to explicitly address the presence of stochastic demands Based on the cumulative queuing regime, we first extend the delay models, which are usually formulated for isolated intersections, to coordinated intersections by incorporating the effects of residual queue and signal offset We then formulate a two-stage stochastic program to minimize the expected total delay for the coordinated corridor The base timing plan is derived at Stage 1, while recourse decisions of adaptive signal offsets are made at Stage to compensate for the overflow effects Furthermore, a PCR-based gradient solution algorithm is developed to solve this two-stage stochastic program The case study on a 3-intersection network under different levels of demand variability confirms the effectiveness of the proposed PCR-based control method, which can reduce the expected total delay by as much as 50-60% compared with the traditional optimization approach, as confirmed by simulation with the Cell Transmission Model Its remarkable performance stems in a large part from the resultant much shorter cycles, as the random arrivals are addressed by adjusting the signal offsets adaptively This effective use of signal offset provides a new perspective for designing coordinated signal control plans Professor Hong K Lo is Department Head and Chair Professor of Civil and Environmental Engineering of the Hong Kong University of Science and Technology His expertise includes dynamic transportation system modeling, traffic control, network reliability, and public transportation analysis He has published extensively in the transportation literature, with a dozen book chapters and over 170 refereed journal papers His current SCI h-index is 30, Google Scholar h-index 42 He was selected as one of the Most Cited Researchers in Civil Engineering by Elsevier in 2016 Professor Lo is very active in the transportation community, for instance, elected as Convener of the International Scientific Committee of the conference series Advanced Systems for Public Transportation (CASPT), serves as Founding Editor-in-Chief of Transportmetrica B: Transport Dynamics (2015 SCI Impact Factor 2.56), Managing Editor of Journal of Intelligent Transportation Systems, and on the editorial boards of many international journals, including Transportation Research Part B, International Journal of Sustainable Transportation, ASCE Journal of Urban Planning and Development, among others Electric Vehicle Fleet Size and Trip Pricing for One-Way Car-Sharing Services Considering Vehicle Relocation and Personnel Assignment Qiang Meng Department of Civil and Environmental Engineering, National University of Singapore, Singapore, ceemq@nus.edu.sg Abstract: This study proposes an interesting electric vehicle fleet size and trip pricing (EVFS&TP) problem for the one-way car-sharing services by taking into account the necessary practical requirements of vehicle relocation and personnel assignment The EVFS&TP problem aims to maximize the profit of the one-way car-sharing operators by determining the electric vehicle fleet size, trip pricing as well as the strategies of vehicle relocation and personnel assignment subject to the elastic demand for the one-way car-sharing services A mixed-integer nonlinear and nonconvex programming model is first built for the EVFS&TP problem By exploiting the unique structure of the original built model, a mixed-integer convex programming model is then developed An effective global optimization method with several outer-approximation schemes is put up to find the global optimal or ε-optimal solution to the EVFS&TP problem A case study based on a one-way car-sharing operator in Singapore is conducted to demonstrate the efficiency of the proposed model and solution method, and analyze the impact of demand, degree of elasticity, fixed operational cost of EV and payment for personnel on the performance of the one-way car-sharing services Dr Qiang Meng is a Professor in the Department of Civil and Environmental Engineering at National University of Singapore (NUS) and a co-director of NUS-LTA Transportation Centre He received his PhD from the Department of Civil and Environmental Engineering at Hong Kong University of Science and Technology in 2000 His research focuses include transportation network modeling and optimization, shipping and intermodal freight transportation network analysis, and quantitative risk assessment of transport operations He has published more than 140 articles on the leading transportation and logistics journals, with the SCI H-index rate of 31 He is an Associate Editor of Transportation Research Part B, Journal of Transportation Engineering (ASCE) and Transportation Research Part E He has clinched a number of research awards and prizes, including Changjiang Chair Professor by the Ministry of Education of PR China in 2017, the Outstanding Alumni Award of the Department of Civil and Environmental Engineering at Hong Kong University of Science and Technology in 2016, Dean’s Chair in Faculty of Engineering at NUS in 2015, the 13th World Conference on Transportation Research (WCTR) Society Prize for the best paper (2013), Best Paper Award for Methodological Development in the 9th EASTS (East Asia Society for Transportation Studies) International Conference (2011), Best Paper Award of AHB40 - Highway Capacity and Quality of Service Committee - in the 90th TRB Annual Meeting (2011) and Singapore MOT (Ministry of Transportation) Minister’s Innovation Award 2009 Planning Reliable Service Facilities under Disruption Risks and Traffic Equilibrium in A Continuous Space Yanfeng Ouyang Department of Civil and Environmental Engineering, The University of Illinois at Urbana-Champaign (UIUC), USA, yfouyang@illinois.edu Abstract: Many service systems are composed of interrelated facilities that jointly serve spatially distributed demand Establishment of such facilities could induce or alter customer traffic that exacerbates congestion in the neighborhood, as customers often choose their own service facility and access path The situation is further worsened by the risk for the service facilities to be disrupted This talk presents models for reliable service facility design under traffic equilibrium in a continuous space We first discuss solution methods for a class of nonlinear partial differential equations (PDE) that describe continuous traffic equilibrium We show that under certain conditions the PDE can be solved, either exactly or approximately, in closed analytical forms We then develop several facility location/layout design models, including mixed-integer programs with equilibrium constraints that can be solved by Lagrangian relaxation with embedded PDE solution methods When closed-form PDE solution is available, the reliable design models reduce to a much simpler nonlinear program Prof Yanfeng Ouyang is George Krambles Endowed Professor, Paul F Kent Endowed Faculty Scholar of Civil and Environmental Engineering, and Donald B Willett Faculty Scholar at the University of Illinois at Urbana-Champaign (UIUC) He received his Ph.D from the University of California at Berkeley in 2005 His research mainly focuses on modeling transportation, logistics, and infrastructure systems, and applications to military, energy, and agricultural industries He currently serves as a Department/Area/Associate Editor of IIE Transactions, Networks and Spatial Economics, Transportation Science, Transportation Research Part C, and Transportmetrica B He is also on the editorial board of Transportation Research Part B, and ASCE Journal of Infrastructure Systems His work has been recognized by a Merit Award for Technical Study from the American Planning Association, a Walter L Huber Research Prize from the American Society of Civil Engineers, a High Impact Project Award from the Illinois Department of Transportation, a Faculty Early Career Development (CAREER) Award from the U.S National Science Foundation, a Campus Distinguished Promotion Award from UIUC, an Outstanding Adviser Award from UIUC, and a Xerox Award for Faculty Research from UIUC, among others Integrated Emergency Transportation-Logistics Management: Potential Issues and Challenges Jiuh-Biing Sheu Department of Business Administration, National Taiwan University, Taiwan, jbsheu@ntu.edu.tw Abstract: Nowadays, disasters, either man-made or natural, existing ubiquitously on the earth, have been a common issue encountered by people around the world Emergency transportation and logistics management, thus, emerges and becomes increasingly important in the fields of transportation, logistics management and related areas This presentation sheds light on not only the research gaps and issues needed to be addressed but also the potential methodology for solutions while expanding the research scope from “Emergency Logistics Management” to “Integrated Emergency Transportation-Logistics Management” with the ultimate goal of maximizing postdisaster survival resilience Furthermore, several novel research ideas and related works published in journals including Transportation Research Parts B and E are illustrated to stimulate more researchers to dig into related research Professor Jiuh-Biing Sheu holds the distinguished professor at National Taiwan University He is also the Editor in Chief of Transportation Research Part E, Associate Editor of Transportmetrica B, and editorial board member of Industrial Marketing Management Professor Sheu has published over eighty refereed journal articles in academic journals, including Transportation Research Parts A, B, C, E, F, Transportation Science, and Production and Operations Management, with a half of them by singly authored Additionally, Professor Sheu published two special issues on Emergency Logistics management and Green Supply Chain Management for Transportation Research Part E in 2007 and 2011, respectively His research areas cover Intelligent Transportation Systems (ITS), Emergency Logistics, Green Supply Chain Management, Business-to-Business Relationship Marketing, Quantum Optical Flow Theory and its Applications in ITS, Behavioral Operations Management, Green Marketing, Affect Science and Cognition in Decision Science He received Outstanding Researcher Awards from Ministry of Technology of Taiwan in 2006, 2012, and 2015; Outstanding Young Researcher Project, National Science Council, Taiwan (2011-2015); Outstanding Scholar Research Project, National Science Council, Taiwan (2008-2011); Outstanding Researcher Award, National Chiao Tung University (2004) and Da-You Wu Outstanding Junior Researcher Award, National Science Council, Taiwan in 2003 Additionally, Professor Sheu is awarded Shanghai Eastern-Scholar Chair Professor (2013), One Thousand Person Project of Shanghai (2013), and Chair Professor of Chang Jiang Scholars Program of China (2016) A predictive continuum dynamic user-optimal model for the simultaneous departure time and route choice problem in a polycentric city S.C WONG Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong, China Tel.: 852-2859-1964; fax: 852-2559-5337; e-mail: hhecwsc@hku.hk Abstract: This study develops a predictive continuum dynamic user-optimal model for the simultaneous departure time and route choice problem through a variational inequality (VI) approach A polycentric urban city with multiple central business districts (CBDs) is considered, and travelers are classified into different classes according to their destinations (i.e., CBDs) The road network within the modeling city is assumed to be sufficiently dense and can be viewed as a continuum A predictive dynamic user-optimal (PDUO) model has been previously used to model traffic flow with a given traffic demand distribution, in which travelers choose the routes that minimize the actual travel cost to the CBD In this work, we combine the departure time choice with the PDUO model to study the simultaneous departure time and route choice problem The useroptimal departure time principle is satisfied, which states that for each origin-destination (OD) pair, the total costs incurred by travelers departing at any time are equal and minimized We then present an equivalent VI and solve it using the projection method after discretization based on unstructured meshes A numerical experiment for an urban city with two CBDs is presented to demonstrate the effectiveness of the numerical algorithm Professor S.C Wong is Chair Professor at the Department of Civil Engineering of the University of Hong Kong, and was conferred the Francis Y S Bong Professorship in Engineering in 2016 He received his BSc(Eng) and MPhil degrees from the University of Hong Kong and a PhD in Transport Studies from University College London Professor Wong has published extensively in reputable international journals with high impact factors He has published more than 280 papers in refereed journals, in addition to numerous conference papers and presentations, including 70 keynote and invited talks His journal articles have attracted more than 4,000 citations, garnering him an h-index of 34 according to the ISI Web of Science He is currently Editor-in-Chief of Transportmetrica A: Transport Science, and International Journal of Sustainable Transportation, and serves on the editorial boards of other sixteen journals, including IEEE Transactions on Intelligent Transportation Systems, Transportation Research Part B, Accident Analysis and Prevention, Transport Reviews, etc Locally, Professor Wong is currently a Justice of the Peace, and Vice-Chairman of the Town Planning Board of the Hong Kong SAR Government In 2015, Professor Wong was awarded the Bronze Bauhinia Star by the Hong Kong SAR Government Managing rail transit peak-hour congestion with fare-reward schemes Hai Yang Department of Civil and Environmental Engineering, Hong Kong University of Science and Technology, Hong Kong, China, cehyang@ust.hk Abstract: This paper analyzes a new fare-reward scheme for managing commuter’s departure time choice in a rail transit bottleneck, which aims to incentivize commuters’ shift of departure time to the shoulder periods of the peak hour to relieve queueing congestion at the transit stations A framework of the rail transit bottleneck is provided and the user equilibrium with a uniform-fare and social optimum with service run-dependent fares is determined A fare-reward scheme (FRS) is then introduced that rewards a commuter one free trip during the shoulder periods after a certain number of paid trips during the peak hour For a given number of peak-hour commuters and ex-ante uniform fare, the FRS determines the free fare intervals and the reward ratio (the number of paid trips required for one free trip, which is equivalent to the ratio of the number of rewarded commuters to the total number of commuters on each day during the peak hour) The new fare under the FRS is determined so that the transit operator’s revenue keeps unchanged before and after introducing the FRS Our study indicates that, depending on the original fare, FRS implements an optimal reward ratio up to 50% and yields a reduction of system total time cost and average equilibrium trip cost by at least 25% and 20% Professor Hai Yang is currently a Chair Professor at The Hong Kong University of Science and Technology He is internationally known as an active scholar in the field of transportation, with more than 220 papers published in SCI/SSCI indexed journals and an H-index citation rate of 45 Most of his publications appeared in leading international journals, such as Transportation Research, Transportation Science and Operations Research Prof Yang received a number of national and international awards, including National Natural Science Award bestowed by the State Council of PR China (2011) He was appointed as Chang Jiang Chair Professor of the Ministry of Education of PR China Prof Yang is now the Editor-in-Chief of Transportation Research Part B: Methodological, a top journal in the field of transportation Modeling Spatial Effects of Dynamic Pricing in Ride-Sourcing Markets Yafeng Yin Department of Civil and Coastal Engineering, University of Florida, USA, yafeng@ufl.edu Abstract: In this talk, we investigate how dynamic pricing redistributes labor supply and impacts search frictions in the ride-sourcing market We first propose a spatial model that features the equilibration of demand and supply in a ride-sourcing market, while explicitly capturing the advanced matching technology that a ride-sourcing platform adopts to match customers with drivers We then explore the equilibrium outcomes under the revenue-maximizing dynamic pricing and present a simple regulation scheme if market power is a concern Based on a public dataset made available by Didi Chuxing, we discuss the key modeling results in the spatial equilibrium Dr Yafeng Yin is a Professor at Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor He works in the area of transportation systems analysis and modeling, and has published nearly 100 refereed papers in leading academic journals One of his papers won the 2016 Stella Dafermos Best Paper Award and the Ryuichi Kitamura Paper Award from Transportation Research Board of the National Academies of Sciences, Engineering, and Medicine Dr Yin is the Editor-in-Chief of Transportation Research Part C: Emerging Technologies, and Associate Editor of Transportation Science He also serves on the editorial boards for another four transportation journals such as Transportation Research Part B: Methodological He is a member of Transportation Network Modeling Committee, Transportation Economics Committee, and International Cooperation Committee of Transportation Research Board He is also the Immediate Past President of Chinese Overseas Transportation Association (COTA) whose members are Chinese professionals and students working or studying overseas in the transportation or related fields Dr Yin received his Ph.D from the University of Tokyo, Japan in 2002, his master’s and bachelor’s degrees from Tsinghua University, Beijing, China in 1996 and 1994 respectively Prior to his current appointment at the University of Michigan, he was a faculty member at University of Florida between 2005 and 2016 He worked as a postdoctoral researcher and then assistant research engineer at University of California at Berkeley between 2002 and 2005 Between 1996 and 1999, he was a lecturer at Tsinghua University Integrated Travel Behavior and Dynamic Traffic Models for Real-Time Applications on Large-Scale Networks Lei Zhang Department of Civil and Environmental Engineering, University of Maryland – College Park, lei@umd.edu Abstract: Travel and traffic models are the primary tools for transportation policy, planning and operations decision-making Driven by application needs (e.g., integrated and active corridor traffic management, travel demand management) and new technologies (e.g., big data, cloud computing and storage, mobility-as-a-service), these models have become increasingly microscopic, dynamic, and integrated The research goal is to develop integrated travel behavior and dynamic traffic models that are capable of capturing both individual travel choices (e.g., mode, scheduling, route) and network traffic conditions, and to enable model applications for real-time decision support at the metropolitan and even larger scales Dr Zhang will highlight several significant research innovations in this problem domain, based on recently funded NSF, U.S DOT and U.S DOE projects led by him with a team of multi-university collaborators, research scientists, and graduate students: (1) A descriptive Behavior User Equilibrium (BUE) theory emphasizing how individual travelers actually make decisions, which leads to behaviorally realistic and computationally efficient model convergence; (2) Agent-based modeling and simulation methods in transportation that take full advantage of behavioral economics insights, traditional/emerging big data sources, and advanced computing techniques; and (3) The ability to not only simulate travelers and vehicles at the person level, but also influence individual behavior and choices for system optimum through personalized monetary and non-monetary incentives Successful real-world applications of this integrated model system will be presented, including incident response, integrated travel demand and traffic management, and/or transportation energy use optimization Dr Lei Zhang (Email: lei@umd.edu, Web: http://www.lei.umd.edu) is the Herbert Rabin Distinguished Professor of Engineering and Director of the U.S DOT National Transportation Center (http://www.ntc.umd.edu) at the University of Maryland Dr Zhang has published more than 250 peer-reviewed journal and conference papers on topics including large-scale transportation systems modeling and simulation, travel behavior, transportation economics and policy, and innovative mobility and sustainability solutions He has received external funding support from NSF, US DOT, US DOE, FHWA, AASHTO, SHRP2, NCHRP, and other federal and state agencies and private foundations, exceeding $34 million Dr Zhang has served in leadership roles at many conferences, expert panels, editorial boards and professional societies Dr Zhang is a recipient of the National Science Foundation CAREER Award, the TRB Fred Burggraf Award, U.S Department of State APEC Science Prize, and many international best paper awards Enabling transportation system intelligence: Hierarchical estimation of traveler behavior and dynamic traffic network state using a computational graph approach Xuesong Zhou School of Sustainable Engineering and the Built Environment, Arizona State University Abstract: One of recent challenges for enhancing transportation system intelligence is the lack of a theoretically consistent framework to estimate different layers of traveler activities and dynamic traffic network states, as the traffic congestion results from both complex spatial flow dynamics and the activity decisions of the interactive population groups By introducing a computational graph modeling framework, this research proposed a hierarchical simplified representation of travel activity models and dynamic path flow assignment for real-time region-wide activity pattern and traffic state estimation applications The disaggregated traveler and aggregated sensor data sources are mapped to different layers of transportation system abstraction Specifically, a feed forward passing step on the hierarchical network sequentially implements trip generation prediction, tourbased activities modeling, trip spatial/temporal distribution estimation, and time-dependent traffic assignment, respectively A back propagation step as part of the generic dynamic programming- based estimation framework is then applied to approximate and aggregate different layers of partial first-order gradients Prof Xuesong Zhou is an Associate Professor of Transportation Systems in the School of Sustainable Engineering and the Built Environment at Arizona State University (ASU) Recently, he has been invited to serve as the Chief Scientist for Beijing Municipal Commission of Transportation Dr Zhou’s research work focuses on dynamic traffic assignment, traffic estimation and prediction, largescale routing and rail scheduling He has been assisting the Federal Highway Administration (FHWA) to develop and provide technical support for largescale simulation-based dynamic traffic assignment systems, for the past 10 years He serves as an Associate Editor for Transportation Research Part C: Emerging Technologies He is the Principle Developer of open-source package DTALite, lightweight open-source traffic assignment/simulation engine and NEXTA, a traffic data visualization platform, which have been used by a number of transportation planning agencies, with more than 3000 downloads from the Google Code website Dr Zhou is the Co-Chair of the IEEE ITS Society Technical Committee on Traffic and Travel Management, a formal Chair for Institute for Operations Research and the Management Sciences, Railway Applications Section (RAS) He also serves as the Chair for the Network Models in Practice Subcommittee in TRB Committee on Transportation Network Modeling (ADB30) Coordinating assignment and routing decisions in transit vehicle schedules: A variablesplitting Lagrangian decomposition approach for solution symmetry breaking Huimin Niu School of Traffic and Transportation, Lanzhou Jiaotong University Abstract: This study focuses on how to coordinate a critical set of assignment and routing decisions in a class of multiple-depot transit vehicle scheduling problems The assignment decision aims to assign a set of transit vehicles from their current locations to trip tasks in a given timetable, where the routing decision needs to route different vehicles to perform the assigned tasks and return to the depot or designated layover locations We first develop a number of network reduction techniques through a space-time-connection graph to reduce the model representation complexity When applying the existing branch-and-bound and task-oriented Lagrangian relaxation framework for real world instances, a thorny issue is that different but indistinguishable vehicles from the same depot or similar locations could commit to the same set of tasks This inherent solution symmetry property causes extremely difficult computational barriers for effectively eliminating identical solutions, and the lower bound solutions could contain many infeasible vehicle-to-task matches, leading to large optimality gaps To systematically coordinate the assignment and routing decisions and further dynamically break symmetry during the solution search process, we adopt a variable-splitting approach to introduce task-specific and vehicle-distinguishable Lagrangian multipliers and then propose a sequential assignment process in order to enhance the solution quality for the augmented models with tight formulations We conduct the numerical experiments to demonstrate the computational efficiency and solution quality of the proposed approach in both off-line planning and real-time vehicle rescheduling applications Prof Huimin NIU is currently serving as the Dean of School of Traffic and Transportation, Lanzhou Jiaotong University Prof NIU received his Ph.D in Transportation Planning and Management from Beijing Jiaotong University in 1999 From 2000 April to 2000 October and from 2001 October to 2002 April, Prof NIU served as a research assistant in the Hong Kong Polytechnic University He has also been a visiting professor in the Centre for Research on Transportation at Montreal University of Canada between 2004 July and 2005 July Prof NIU has published more than 60 research papers in professional journals, which include Transportation Research Part B, Part C, IEEE Transactions on Intelligent Transportation Systems, and Science in China He is the leader of the National Excellent Course of Railway Transportation Organization and the first accomplisher of the second prize of National Teaching Achievement Award His research interests include modeling of rail systems, transportation network analysis, and intelligent transportation systems 交交交交交交交交交交 ：：：： ：：：： ——>：：：：：： ：：： 57.2：：： ：：：：： 50：：：：：： 130：： ：：：： ：：：：： ——>：：：：：： ：：： 21.3 ：：： ：：：：： 45：：：：：： 40 ：： ：：：：：： ——>：：：：：： ：：： 6.6 ：：： ：：：：： 15：：：：：： 25：： ：：： ：：： ：：：：：： ：：：： ：：： 2： 交交交交交 1.：：：：：：：：：：：：：：： ：：：：：： 2.：：：：：：：：：：：：：：：：： 122 ：：：：：：：：：：：：：：：：：：：： ：：：： ：：：：：： ：：：： 3： 交交 1.：：：：：：：： 3.：：：： ：：：：：：：：：：：：：：：：：：：：：：：：：： 2.：：：：：： 4.：：：： Volunteer contact information Events Contact Information Telephone Number Registration Yuxing Jiang ：：：：： +86 15095311358 Accommodation ：：：： Mingming Chen：：：：： ：：：： Xiaopeng Tian：：：：： +86 13893488678 +86 13893390615 Lunch & Dinner Li Wang ：： ：： +86 13909313319 Equipment Bin Lv ：： ：： +86 13919108171 Zhiqiang Tian ：：：：： +86 18215196016 Ruhu Gao ：：：：： +86 18919977257 Route Guide .. .Science (CTS-2017) 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Singapore Prof Yanfeng Ouyang University of Illinois Prof Jiuh-Biing Sheu National Taiwan University Prof S.C.Wong The University of Hong Kong Prof Hai Yang The Hong Kong University of Science and