The Center for Transportation Research (CTR) is a multi-disciplinary CEE Department research center established in October 1990, with the aim of making contributions to the transportation industry in Singapore. Its main role is to promote and coordinate multidisciplinary transportation research, and serves as a contact point with the industry and international research counterparts.  The CTR does not receive any operating budget to conduct research.  It relies on administrative support and research resources of the CEE Department to coordinate and conduct research. Its research program is driven by the transportation group of CEE Department, in collaboration with academic colleagues from other department in NUS.

• Make productive contributions to the continued progress of the transportation industry in Singapore by conducting applied research and development work in contemporary and future transportation issues.
• Provide technical leadership to advance transportation research, education, and practice for urban people/cargo mobility and global cargo movement.

CTR’s initial research effort focuses on transportation planning and urban transportation issues in the 1990s. Since early 2000s, leveraging on its multidisciplinary expertise, it has expanded its research coverage to address transportation logistics issues. The CEE members of CTR have worked closely with the land, sea and air transportation industry of Singapore. The topics of research projects undertaken include advanced transportation planning, control& management and policy; urban mobility and intelligent transport systems (ITS); transportation system modelling and optimization; transport safety; transport infrastructure engineering and management; highway & airfield engineering; pavement engineering; shipping & intermodal freight transport; container port operations; international trade & transport; and ship traffic safety analysis.

• Emeritus Professor Fwa Tien Fang (Founding Director)
• Professor Meng Qiang (Director)
• Professor He Jianzhong
• Associate Professor Liu Yang
• Associate Professor Ong Ghim Ping, Raymond
• Associate Professor Yu Liya
• Assistant Professor Prateek Bansal
• Assistant Professor Yang Kaidi
• Adjunct Associate Professor Chan Weng Tat
• Adjunct Associate Professor Xie Litian
• Honorary Fellow Dr. Chin Hoong Chor

• Ong Ghim Ping Raymond - iSMARTi Achievement Award, the 2nd International Conference on Maintenance and Rehabilitation of Constructed Infrastructures Facilities, 2023.
• Prateek Bansal- Best paper award, in the area of Transport Economics and Finance at the 17th World Conference of Transport Research (WCTR), Montreal, Canada. 2023.
• He Jianzhong – Advisor, Wang Gungwu Medal and Prize (best Ph.D. thesis in the nature sciences), 2023.
• Prateek Bansal-Outstanding paper award, at 40^th International Conference of the Korean Society of Transportation, Seoul, Republic of Korea (2022)
• Meng Qiang – Fellow, The Academy of Engineering Singapore, September 2022
• Meng Qiang - Best Paper Award in Institution Innovation in in the 14th Eastern Asia Society of Transportation Studies (EASTS) Conference held in Hiroshima, Japan (online event) from 12-14 September 2021 (14 September 2021).
• Liu Yang - Best Student Paper Award, The 4th International Symposium on Multimodal Transport, (First Author: Xie Tingting, PhD student supervised by Liu Yang), 2021.
• Liu Yang - Student Research Competition (Second Place) on Artificial Intelligence Enabled Next Generation Transportation Systems, ASCE T&DI, (Winner: Xie Jiaohong, Phd student supervised by Chen Nan and Liu Yang, 2021.
• Ong Ghim Ping Raymond - Best Paper Award for Methodological Development, 14th Eastern Asia Society for Transportation Studies (EASTS) Conference, 2021.
• Meng Qiang - Freight Transportation and Logistics Outstanding Paper Award of INFORMS Transportation Science and Logistics Society (10 November 2020).
• Meng Qiang - The Outstanding Paper Award in the 3^rd Conference of the Yangtze-River Research and Innovation Belt (Y-RIB) held on 5-7 November 2020 in Ningbo University of China (7 November 2020).
• Fwa Tien Fang - Most Cited Article for the Year 2020 awarded by International Journal of Transportation Science and Technology, 2020.
• Yang Kaidi - Best Student Paper Award, IEEE Intelligent Transportation Systems Conference (2020).
• Meng Qiang - The OCDI Takeuchi Yoshio Best Paper Award in the Field of Logistics in the 13th EASTS International Conference held on 9-12 September 2019 in Colombo of Sri Lanka (September 2019).
• He Jianzhong - Second Prize – Biotechnology Award at IChemE Global Awards 2019.
• Ong Ghim Ping Raymond - Early Career Award. International Society of Maintenance and Rehabilitation of Transport Infrastructures (iSMARTi), 2019. (Inaugural winner).
• Meng Qiang - Advisor Award for the Best PhD Dissertation “Modelling and Optimization for Battery Electric Operations Chinese Overseas Transportation Association (COTA) (January 2019).
• Yang Kaidi - Best Paper Award, OMEGA: The International Journal of Management Science (2019).
• Fwa Tien Fang – Fellow, The Academy of Engineering Singapore, 2019

Besides research collaboration, CTR members maintains strong links with the industry through organizing research seminars, workshops and conferences. Since 1996, CTR has organized an annual Singapore Pavement Technology Symposium jointly with the highway industry. Internationally, CTR’s presence is marked by her effort in spearheading a university-based research network T-Log which is now participated by 12 regional universities, including Tsinghua University, Tokyo University, and Kyoto University, and the University of Melbourne. CTR is taking the lead in convening a bi-annual T-LOG international conference since 2005. Through this effort, CTR has established strong research interactions with Tsinghua University of China, Tokyo University and Kyoto University of Japan. CTR is also playing an important role in the Eastern Asia Society for Transportation Studies.

• Seminar jointly co-organized by The Centre for Transportation Research (CTR) and Department of Civil and Environmental Engineering, Title: “Better Skid Management Saves Lives”, Prof. Jorge Prozzi, The University of Texas at Austin on 15 May 2023.
• Seminar jointly co-organized by The Centre for Transportation Research (CTR) and Department of Civil and Environmental Engineering, Title: “Electrification of Private Cars in Hong Kong: EV Adoption, Charger Accessibility, and the Spatial Planning of Charging Infrastructure”, Prof. Sylvia He, The Chinese University of Hong Kong on 26 April 2023.
• Seminar jointly co-organized by The Centre for Transportation Research (CTR) and Department of Civil and Environmental Engineering, Title: “Traffic behavior in cities: A macroscopic approach”, Prof. Monica Menendez, New York University Abu Dhabi on 31 March 2023.
• Seminar jointly co-organized by The Centre for Transportation Research (CTR) and Department of Civil and Environmental Engineering, Title: “Data Driven Resilience Study of Waterway Transportation Systems Applied to Texas Gulf Waterways”, Prof. Xing Wu, Lamar University on 24 March 2023.
• Seminar jointly co-organized by The Centre for Transportation Research (CTR) and Department of Civil and Environmental Engineering, Title: “Simulation, Optimization and Artificial Intelligence for On-demand Ride Services”, Dr. Jintao Ke, The University of Hong Kong on 09 March 2023.
• Seminar jointly co-organized by The Centre for Transportation Research (CTR) and Department of Civil and Environmental Engineering, Title: “Slow Streets and Dockless Travel: Using a Natural Experiment for Insight into the Role of Supportive Infrastructure on Non-Motorized Travel”, Prof. Marlon Boarnet, The University of Southern California on 8 March 2023.
• Seminar jointly co-organized by Centre for Transportation Research of Department of Civil and Environmental Engineering and the Centre of Excellence in Modelling and Simulation for Next Generation Ports, Title: “The impact of the pandemic on trans-Pacific trade lane schedule stability”, Prof. Michael Bell, Institute of Transport and Logistics Studies, The University of Sydney Business School on 3 August 2022.
• CTR and Pavement Engineering Society (Singapore) co-organized 25th Singapore Symposium on Pavement Technology on 19 Nov 2020.
• CTR and Pavement Engineering Society (Singapore) co-organized 26th Singapore Symposium on Pavement Technology on 25 Nov 2021.
• CTR and Pavement Engineering Society (Singapore) co-organized 25th Singapore Symposium on Pavement Technology on 19 Nov 2020.
• Seminar jointly co-organized by The Centre for Transportation Research (CTR) and Department of Civil and Environmental Engineering, Title: "Statistical Inference of Travel Demand: Integrating Sensor Data with Soft Information”, Prof. Yueyue Fan, University of California at Davis on 17 May 2019
• Seminar jointly co-organized by The Centre for Transportation Research (CTR) and Department of Civil and Environmental Engineering, Title: "Managing Drone Swarms for Urban and Emergency Response Operations”, Prof. Amelia Regan, University of California at Irvine, USA on 1 March 2019.
• Seminar jointly co-organized by The Centre for Transportation Research (CTR) and Department of Civil and Environmental Engineering, Title: "Resilience of our Transportation Systems in an Intelligent and Connected World", Prof. Elise Miller-Hooks, George Mason University, USA on 23 November 2018.
• Seminar jointly co-organized by The Centre for Transportation Research (CTR) and Department of Civil and Environmental Engineering, Title: "Resilience of our Transportation Systems in an Intelligent and Connected World", Prof. Elise Miller-Hooks, George Mason University, USA on 23 November 2018.
• Seminar jointly co-organized by The Centre for Transportation Research (CTR) and Department of Civil and Environmental Engineering, Title: "Environmental efficiency in transportation", Prof. Young-Tae Chang, Inha University, Incheon, Korea on 28 September 2018.
• Seminar jointly co-organized by The Centre for Transportation Research (CTR) and Department of Civil and Environmental Engineering, Title: "Considering Route Diversity in Network Design for Road Networks", Prof. Anthony Chen, The Hong Kong Polytechnic University, Hong Kong on 2 June 2018.
• Seminar jointly co-organized by The Centre for Transportation Research (CTR) and Department of Civil and Environmental Engineering, Title: "Bia Data for Better Planning", Mr. Luke Cheng, regional director - Asia in Citilabs Inc on 1 March 2018.
• Seminar jointly co-organized by The Centre for Transportation Research (CTR) and Department of Civil and Environmental Engineering, Title: "Winter Navigation Risk Management in the Northern Baltic Sea", by Dr. Floris Goerlandt, Aalto University, Finland, on 26 January 2018.
• Seminar jointly co-organized by The Centre for Transportation Research (CTR) and Department of Civil and Environmental Engineering, Title: "Using MATSim to Analyse Transport Policy Measure", by Professor Nagel Kai, Berlin Institute of Technology (TU Berlin), Germany on 20 October 2017
• Visit from Beihang University on 21 August 2017
• Seminar jointly co-organized by The Centre for Transportation Research (CTR) and Department of Civil and Environmental Engineering, Title: "Towards Autonomous Driving: A Lane Changing Decision Model Based on Fuzzy Influence Systems", by Professor Cheu Ruey Long, The University of Texas at El Paso on 14 August 2017
• The Centre for Transportation Research (CTR) has been a founding member for two academic conference series in East Asia: the Eastern Asia Society for Transportation Studies (since 1994) and T-LOG Conference (since 2005). CTR sponsors department academic staff to present papers at these two conferences
• Visit from Dalian University of Technology, School of Transportation and Logistics on 22 June 2017
• Visit by Dr Trinh Van Chinh, Head - Department of Transport Planning, Faculty of Transportation Engineering, Ho Chi Minh City (HCMC) University of Transport on 7 April 2017
• Visit from China Academy of Urban Planning and Design, on 3 November 2017

• 2023
  • Understanding moral decisions of autonomous vehicle using brain data – Prateek Bansal
  • Nudging ride hailing drivers to adopt electric vehicles using eye-tracking data – Prateek Bansal
  • A framework to fuse passively-collected mobility data with household travel survey data – Prateek Bansal
  • Physics-informed deep learning for human-centred operation of emerging mobility – Yang Kaidi
  • Integrated Planning and Operations of a Future CASE Mobility System- Raymond Ong
  • Intelligence (AI) Based Vessel Risk Profile Estimation and Classification
• 2022
  • V2X-enabled management of urban transportation systems – Yang Kaidi
  • Communication-efficient collision-avoidance control of UAV swarms in cluttered environments – Yang Kaidi
• 2021
  • Intelligent Traffic Diffusion Plan Generation, Effective Assessment and Dissemination Strategies- Meng Qiang
  • Network Data Driven Transportation Planning and Operation under Cisco-NUS Accelerated Digital Economy Corporate Laboratory- Raymond Ong
• 2019
  • Container Haulage Problems: Model Development, Algorithm Design and Applications – Meng Qiang
  • Development of Urban Mobility Models for Seniors in Singapore- Raymond Ong

• Meng Qiang
• • Guan, H., Wang, H., Meng, Q., & Mak, C. L. (2023). Markov chain-based traffic analysis on platooning effect among mixed semi-and fully-autonomous vehicles in a freeway lane. Transportation Research Part B: Methodological, 173, 176-202.
  • Chen, S., Wang, H., & Meng, Q. (2023). Cost allocation of cooperative autonomous truck platooning: Efficiency and stability analysis. Transportation Research Part B: Methodological, 173, 119-141.
  • Lu, Z., & Meng, Q. (2023). Effects of asymmetric investment cost information on revenue-compensated build-operate-transfer highway contracts. Transportation Research Part B: Methodological, 172, 71-92.
  • Cai, Y., Ong, G. P., & Meng, Q. (2022). Dynamic bicycle relocation problem with broken bicycles. Transportation Research Part E: Logistics and Transportation Review, 165, 102877.
  • Ma, J., Meng, Q., Cheng, L., & Liu, Z. (2022). General stochastic ridesharing user equilibrium problem with elastic demand. Transportation Research Part B: Methodological, 162, 162-194.
  • Zhou, Y., Meng, Q., & Ong, G. P. (2022). Electric bus charging scheduling for a single public transport route considering nonlinear charging profile and battery degradation effect. Transportation Research Part B: Methodological, 159, 49-75.
  • Chen, S., Wang, H., & Meng, Q. (2021). Autonomous truck scheduling for container transshipment between two seaport terminals considering platooning and speed optimization. Transportation Research Part B: Methodological, 154, 289-315.
  • Sheng, D., Meng, Q., & Li, Z. C. (2021). Optimal quality incentive scheme design in contracting out public bus services. Transportation Research Part C: Emerging Technologies, 133, 103427.
  • Kang, L., Meng, Q., & Tan, K. C. (2020). Tugboat scheduling under ship arrival and tugging process time uncertainty. Transportation Research Part E: Logistics and Transportation Review, 144, 102125.
  • Zhao, H., Meng, Q., & Wang, Y. (2020). Probability estimation model for the cancellation of container slot booking in long-haul transports of intercontinental liner shipping services. Transportation Research Part C: Emerging Technologies, 119, 102731.
  • Sheng, D.; Meng, Q. & Li, Z.C. (2019). Optimal vessel speed and fleet size for industrial shipping services under the emission control area regulation, Transportation Research Part C: Emerging Technologies, 105, 37-53.
  • Wang, Y.; Meng, Q. & Kuang, H. (2019). Intercontinental liner shipping service design. Transportation Science, 53 (2), 1-21.
  • Wang, H.; Zhao, D.; Meng, Q.; Ong, G.P. & Lee D.H. (2019). A four-step method for electric-vehicle charging facility deployment in a dense city: An empirical study in Singapore, Transportation Research Part A: Policy and Practice 119, 224-237
  • Chen, S.; Wang, H. & Meng, Q. (2019). Designing autonomous vehicle incentive program with uncertain vehicle purchase price, Transportation Research Part C: Emerging Technologies, 103, 226-245.

• Fwa Tien Fang
• • Guo, W., Chu, L., Yang, L., & Fwa, T. F. (2023). Determination of tire rubber-pavement directional coefficient of friction based on contact mechanism considerations. Tribology International, 179, 108178.
  • Wang, T., Chu, L., & Fwa, T. F. (2022). Improved numerical method for determination of pavement mean texture depth from 3-dimensional digital image. Construction and Building Materials, 358, 129447.
  • Cui, X., Chu, L., & Fwa, T. F. (2022). Experimental-cum-numerical approach for directional skid resistance measurement of grooved pavements. Measurement, 205, 112129.
  • Chu, L., Peng, J., Liu, Y., & Fwa, T. F. (2022). Effectiveness of Pavement Grooving in Skidding Prevention on Horizontal Curves. Journal of Transportation Engineering, Part B: Pavements, 148(4), 04022054.
  • Chu, L., He, L., & Fwa, T. F. (2022). 3-Dimensional finite element modelling of asphalt mixtures for thermal conductivity determination. International Journal of Pavement Engineering, 23(6), 2009-2018.
  • Fwa, T. F. (2021). Determination and prediction of pavement skid resistance–connecting research and practice. Journal of Road Engineering, 1, 43-62.
  • Peng, J., Chu, L., & Fwa, T. F. (2021). Determination of safe vehicle speeds on wet horizontal pavement curves. Road Materials and Pavement Design, 22(11), 2641-2653.
  • Zhu, B., Chu, L., & Fwa, T. F. (2021). Cooling characteristics of warm mix asphalt for multi-lift pavement repair and resurfacing. International Journal of Pavement Engineering, 22(9), 1169-1180.
  • Luo, L., Chu, L., & Fwa, T. F. (2020). Molecular dynamics analysis of moisture effect on asphalt-aggregate adhesion considering anisotropic mineral surfaces. Applied Surface Science, 527, 146830.
  • Han, S., Liu, M., & Fwa, T. F. (2020). Testing for low-speed skid resistance of road pavements. Road Materials and Pavement Design, 21(5), 1312-1325.
  • Chu, L., He, L., & Fwa, T. F. (2020). Determination of thermal conductivity of asphalt paving mixtures using finite element method. Construction and Building Materials, 243, 118250.
  • Fwa, T. F. & Chu, L. (2019) The concept of pavement skid resistance state, Road Materials and Pavement Design, 1-20.
  • Chu, L. & Fwa, T. F. (2019) Evaluation of surface infiltration performance of permeable pavements, Journal of environmental management 238, 136-143.
  • Chu, L. & Fwa, T. F. (2019) A functional approach for determining skid resistance threshold state of porous pavement, International journal of pavement engineering 20 (4), 481-489

• Chin Hoong Chor
  • Zhou, M. & Chin, H.C. (2019). Factors affecting the injury severity of out-of-control single-vehicle crashes in Singapore, Accident Analysis & Prevention 124, 104-112

• He Jianzhong
  • Cui, Y., Ma, X., Lee, S. H., He, J., Yang, K. L., & Zhou, K. (2023). Production of butyl butyrate from lignocellulosic biomass through Escherichia coli-Clostridium beijerinckii G117 co-culture. Process Biochemistry, 128, 58-67.
  • Liu, J., Xu, G., Zhao, S., Chen, C., Rogers, M. J., & He, J. (2023). Mechanistic and microbial ecological insights into the impacts of micro-and nano-plastics on microbial reductive dehalogenation of organohalide pollutants. Journal of Hazardous Materials, 448, 130895.
  • Xu, G., Zhao, S., Liu, J., & He, J. (2023). Bioremediation of organohalide pollutants: Progress, microbial ecology, and emerging computational tools. Current Opinion in Environmental Science & Health, 100452.
  • Xu, G., & He, J. (2022). Resilience of organohalide-detoxifying microbial community to oxygen stress in sewage sludge. Water Research, 224, 119055.
  • Su, G., Chan, C., & He, J. (2022). Enhanced biobutanol production from starch waste via orange peel doping. Renewable Energy, 193, 576-583.
  • Wang, Q., & He, J. (2022). Partnering of anammox and denitrifying bacteria benefits anammox’s recovery from starvation and complete nitrogen removal. Science of the Total Environment, 815, 152696.
  • Xu, G., Zhang, N., Zhao, X., Chen, C., Zhang, C., & He, J. (2022). Offshore marine sediment microbiota respire structurally distinct organohalide pollutants. Environmental Science & Technology, 56(5), 3065-3075.
  • Xu, G., Zhao, X., Zhao, S., & He, J. (2021). Acceleration of polychlorinated biphenyls remediation in soil via sewage sludge amendment. Journal of Hazardous Materials, 420, 126630.
  • Zhao, S., Rogers, M. J., Cao, L., Ding, C., & He, J. (2021). Identification of Reductive Dehalogenases That Mediate Complete Debromination of Penta-and Tetrabrominated Diphenyl Ethers in Dehalococcoides spp. Applied and Environmental Microbiology, 87(17), e00602-21.
  • Cui, Y., He, J., Yang, K. L., & Zhou, K. (2020). Aerobic acetone-butanol-isopropanol (ABI) fermentation through a co-culture of Clostridium beijerinckii G117 and recombinant Bacillus subtilis 1A1. Metabolic Engineering Communications, 11, e00137.
  • Cui, Y., He, J., Yang, K. L., & Zhou, K. (2020). Production of isopropyl and butyl esters by Clostridium mono-culture and co-culture. Journal of Industrial Microbiology and Biotechnology, 47(6-7), 543-550.
  • Ding, C., Rogers, M. J., & He, J. (2020). Dehalococcoides mccartyi strain GEO12 has a natural tolerance to chloroform inhibition. Environmental Science & Technology, 54(14), 8750-8759.
  • Wang, S., Chen, C., Zhao, S., & He, J. (2019). Microbial synergistic interactions for reductive dechlorination of polychlorinated biphenyls. Science of the Total Environment, 666, 368-376.
  • Wang, S., He, J., Shen, C., & Manefield, M. J. (2019). Organohalide respiration: New findings in metabolic mechanisms and bioremediation applications. Frontiers in Microbiology, 10, 526.

• Ong Ghim Ping, Raymond
  • Khoo, H. L., & Ong, G. P. (2023). A mode shift Bayesian network model for active travel demand management policies. Travel Behaviour and Society, 33, 100635.
  • Zhou, Y., Ong, G. P., Meng, Q., & Cui, H. (2023). Electric bus charging facility planning with uncertainties: Model formulation and algorithm design. Transportation Research Part C: Emerging Technologies, 150, 104108.
  • Dong, T., Jia, N., Ma, S., Xu, S. X., Ong, G. P., Liu, P., & Huang, H. J. (2022). Impacts of intercity commuting on travel characteristics and urban performances in a two-city system. Transportation research part E: logistics and transportation review, 164, 102792.
  • Liu, J., Ong, G. P., & Pang, V. J. (2022). Modelling effectiveness of COVID-19 pandemic control policies using an Area-based SEIR model with consideration of infection during interzonal travel. Transportation Research Part A: Policy and Practice, 161, 25-47.
  • Zhou, Y., Meng, Q., & Ong, G. P. (2022). Electric bus charging scheduling for a single public transport route considering nonlinear charging profile and battery degradation effect. Transportation Research Part B: Methodological, 159, 49-75.
  • Liu, P., Xu, S. X., Ong, G. P., Tian, Q., & Ma, S. (2021). Effect of autonomous vehicles on travel and urban characteristics. Transportation research part B: methodological, 153, 128-148.
  • Zhao, D., & Ong, G. P. (2021). Geo-fenced parking spaces identification for free-floating bicycle sharing system. Transportation research part A: Policy and practice, 148, 49-63.
  • Tian, Q., Liu, P., Ong, G. P., & Huang, H. J. (2021). Morning commuting pattern and crowding pricing in a many-to-one public transit system with heterogeneous users. Transportation Research Part E: Logistics and Transportation Review, 145, 102182.
  • Ong, G. P., Jagadeesh, A., & Su, Y. M. (2020). Effect of pore network characteristics on non-Darcy permeability of pervious concrete mixture. Construction and Building Materials, 259, 119859.
  • Wang, H., Zhao, D., Meng, Q., Ong, G. P., & Lee, D. H. (2020). Network-level energy consumption estimation for electric vehicles considering vehicle and user heterogeneity. Transportation Research Part A: Policy and Practice, 132, 30-46.
  • Liu, P., Liu, J., Ong, G. P., & Tian, Q. (2020). Flow pattern and optimal capacity in a bi-modal traffic corridor with heterogeneous users. Transportation Research Part E: Logistics and Transportation Review, 133, 101831.
  • Jagadeesh, A., Zhang, L., & Ong, G. P. (2019). Pareto Optimisation Approach for Functional Design of Pervious Pavements Using Numerical Modelling. Journal of the Eastern Asia Society for Transportation Studies, 13, 1602-1615.
  • Ong, G. P., Jagadeesh, A. & Su, Y.M. (2019). Development of Discharge-Based Thresholding Algorithm for Pervious Concrete Pavement Mixtures, Journal of Materials in Civil Engineering
  • Hua, W. and Ong, G. P. (2018). Effect of Information Contagion during Train Service Disruption for an Integrated Rail-Bus Transit System, Public Transport, 10(3), 571-594.
  • Zhao, D., Wang, W., Ong, G. P. and Ji, Y. (2018). An Association Rule Based Method to Integrate Metro-Public Bicycle Smart Card Data for Trip Chain Analysis, Journal of Advanced Transportation, 2018, Article ID 4047682, 11 pages, doi: 10.1155/2018/4047682.

• Liu Yang
  • Xie, J., Liu, Y., & Chen, N. (2023). Two-sided deep reinforcement learning for dynamic mobility-on-demand management with mixed autonomy. Transportation Science.
  • Gu, R., Liu, Y., & Poon, M. (2023). Dynamic truck–drone routing problem for scheduled deliveries and on-demand pickups with time-related constraints. Transportation Research Part C: Emerging Technologies, 151, 104139.
  • Chen, Y., & Liu, Y. (2023). Integrated optimization of planning and operations for shared autonomous electric vehicle systems. Transportation Science, 57(1), 106-134.
  • Liu, Y., Xie, J., & Chen, N. (2022). Stochastic one-way carsharing systems with dynamic relocation incentives through preference learning. Transportation Research Part E: Logistics and Transportation Review, 166, 102884.
  • Xie, J., Yang, Z., Lai, X., Liu, Y., Yang, X. B., Teng, T. H., & Tham, C. K. (2022). Deep reinforcement learning for dynamic incident-responsive traffic information dissemination. Transportation research part E: logistics and transportation review, 166, 102871.
  • Guo, H., Chen, Y., & Liu, Y. (2022). Shared autonomous vehicle management considering competition with human-driven private vehicles. Transportation research part C: emerging technologies, 136, 103547.
  • Liu, Y., & Yang, Z. (2021). Information provision and congestion pricing in a risky two-route network with heterogeneous travelers. Transportation Research Part C: Emerging Technologies, 128, 103083.
  • Li, Y., & Liu, Y. (2021). Optimizing flexible one-to-two matching in ride-hailing systems with boundedly rational users. Transportation Research Part E: Logistics and Transportation Review, 150, 102329.
  • Li, Y., & Liu, Y. (2021). The static bike rebalancing problem with optimal user incentives. Transportation research part E: logistics and transportation review, 146, 102216.
  • Li, Y., Liu, Y., & Xie, J. (2020). A path-based equilibrium model for ridesharing matching. Transportation Research Part B: Methodological, 138, 373-405.

• Yu Liya
  • Tham, J., Sarkar, S., Jia, S., Reid, J. S., Mishra, S., Sudiana, I. M., ... & Liya, E. Y. (2019). Impacts of peat-forest smoke on urban PM2. 5 in the Maritime Continent during 2012–2015: Carbonaceous profiles and indicators. Environmental Pollution, 248, 496-505.
  • Ng, C. T., Yu, L. E., Ong, C. N., Bay, B. H., & Baeg, G. H. (2019). The use of Drosophila melanogaster as a model organism to study immune-nanotoxicity. Nanotoxicology, 13(4), 429-446.

• Prateek Bansal
  • Bansal, P., & Graham, D. J. (2023). Congestion in cities: Can road capacity expansions provide a solution?. Transportation Research Part A: Policy and Practice, 174, 103726.
  • Krueger, R., Bierlaire, M., & Bansal, P. (2023). A data fusion approach for ride-sourcing demand estimation: A discrete choice model with sampling and endogeneity corrections. Transportation Research Part C: Emerging Technologies, 152, 104180.
  • Bansal, P., Gadepalli, R., & AitBihiOuali, L. (2023). Eliciting mobility preferences of Indians for E-rickshaws: Evidence from Gurugram. Transport Policy, 134, 19-30.
  • Zhang, N., Graham, D. J., Bansal, P., & Hörcher, D. (2022). Detecting metro service disruptions via large-scale vehicle location data. Transportation Research Part C: Emerging Technologies, 144, 103880.
  • Dubey, S., Sharma, I., Mishra, S., Cats, O., & Bansal, P. (2022). A general framework to forecast the adoption of novel products: A case of autonomous vehicles. Transportation research part B: methodological, 165, 63-95.
  • Bansal, P., Kessels, R., Krueger, R., & Graham, D. J. (2022). Preferences for using the London Underground during the COVID-19 pandemic. Transportation Research Part A: Policy and Practice, 160, 45-60.
  • Dubey, S., Cats, O., Hoogendoorn, S., & Bansal, P. (2022). A multinomial probit model with Choquet integral and attribute cut-offs. Transportation Research Part B: Methodological, 158, 140-163.
  • Kutela, B., Langa, N., Mwende, S., Kidando, E., Kitali, A. E., & Bansal, P. (2021). A text mining approach to elicit public perception of bike-sharing systems. Travel Behaviour and Society, 24, 113-123.
  • Buddhavarapu, P., Bansal, P., & Prozzi, J. A. (2021). A new spatial count data model with time-varying parameters. Transportation Research Part B: Methodological, 150, 566-586.
  • Graham, D. J., Carbo, J. M., Anderson, R. J., & Bansal, P. (2020). Understanding the costs of urban rail transport operations. Transportation Research Part B: Methodological, 138, 292-316.
  • Bansal, P., Krueger, R., Bierlaire, M., Daziano, R. A., & Rashidi, T. H. (2020). Bayesian estimation of mixed multinomial logit models: Advances and simulation-based evaluations. Transportation Research Part B: Methodological, 131, 124-142.
  • Dubey, S., Bansal, P., Daziano, R. A., & Guerra, E. (2020). A generalized continuous-multinomial response model with a t-distributed error kernel. Transportation Research Part B: Methodological, 133, 114-141.
  • Liu, Y., Bansal, P., Daziano, R., & Samaranayake, S. (2019). A framework to integrate mode choice in the design of mobility-on-demand systems. Transportation Research Part C: Emerging Technologies, 105, 648-665.

• Yang Kaidi
  • Gammelli, D., Harrison, J., Yang, K., Pavone, M., Rodrigues, F., Pereira, F.C. (2023). Graph Reinforcement Learning for Network Control via Bi-Level Optimization. Proceedings of the 40th International Conference on Machine Learning, PMLR 202:10587-10610.
  • Deng, Z., Yang, K., Shen, W., & Shi, Y. (2023). Cooperative platoon formation of connected and autonomous vehicles: toward efficient merging coordination at unsignalized intersections. IEEE Transactions on Intelligent Transportation Systems.
  • Tsao, M., Yang, K., Zoepf, S., & Pavone, M. (2022). Trust but verify: Cryptographic data privacy for mobility management. IEEE Transactions on Control of Network Systems, 9(1), 50-61.
  • Dakic, I., Yang, K., Menendez, M., & Chow, J. Y. (2021). On the design of an optimal flexible bus dispatching system with modular bus units: Using the three-dimensional macroscopic fundamental diagram. Transportation Research Part B: Methodological, 148, 38-59.
  • Yin, B., Menendez, M., & Yang, K. (2021). Joint optimization of intersection control and trajectory planning accounting for pedestrians in a connected and automated vehicle environment. Sustainability, 13(3), 1135.
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