| A model framework for discovering the spatio-temporal usage patterns of public free-floating bike-sharing system Y Du, F Deng, F Liao Transportation Research Part C: Emerging Technologies 103, 39-55, 2019 | 188 | 2019 |
| An overview of effects of COVID-19 on mobility and lifestyle: 18 months since the outbreak A de Palma, S Vosough, F Liao Transportation Research Part A: Policy and Practice 159, 372-397, 2022 | 157 | 2022 |
| Incorporating space–time constraints and activity-travel time profiles in a multi-state supernetwork approach to individual activity-travel scheduling F Liao, T Arentze, H Timmermans Transportation Research Part B: Methodological 55, 41-58, 2013 | 157 | 2013 |
| User acceptance of electric car-sharing services: The case of the Netherlands R Curtale, F Liao, P van der Waerden Transportation Research Part A: Policy and Practice 149, 266-282, 2021 | 127 | 2021 |
| A multimodal transport network model for advanced traveler information systems J Zhang, F Liao, T Arentze, H Timmermans Procedia-Social and Behavioral Sciences 20, 313-322, 2011 | 114 | 2011 |
| Incorporating free-floating car-sharing into an activity-based dynamic user equilibrium model: A demand-side model Q Li, F Liao, HJP Timmermans, H Huang, J Zhou Transportation Research Part B: Methodological 107, 102-123, 2018 | 109 | 2018 |
| Macroscopic modeling and dynamic control of on-street cruising-for-parking of autonomous vehicles in a multi-region urban road network C Zhao, F Liao, X Li, Y Du Transportation Research Part C: Emerging Technologies 128, 103176, 2021 | 102 | 2021 |
| Supernetwork approach for multimodal and multiactivity travel planning F Liao, T Arentze, H Timmermans Transportation Research Record 2175 (1), 38-46, 2010 | 100 | 2010 |
| Comfortable and energy-efficient speed control of autonomous vehicles on rough pavements using deep reinforcement learning Y Du, J Chen, C Zhao, C Liu, F Liao, CY Chan Transportation Research Part C: Emerging Technologies 134, 103489, 2022 | 91 | 2022 |
| Modeling duration choice in space–time multi-state supernetworks for individual activity-travel scheduling F Liao Transportation Research Part C: Emerging Technologies 69, 16-35, 2016 | 73 | 2016 |
| A novel direct trajectory planning approach based on generative adversarial networks and rapidly-exploring random tree C Zhao, Y Zhu, Y Du, F Liao, CY Chan IEEE Transactions on Intelligent Transportation Systems 23 (10), 17910-17921, 2022 | 68 | 2022 |
| A bi-objective timetable optimization model incorporating energy allocation and passenger assignment in an energy-regenerative metro system S Yang, F Liao, J Wu, HJP Timmermans, H Sun, Z Gao Transportation Research Part B: Methodological 133, 85-113, 2020 | 68 | 2020 |
| Dynamic activity-travel assignment in multi-state supernetworks P Liu, F Liao, HJ Huang, H Timmermans Transportation Research Part B: Methodological 81, 656-671, 2015 | 67 | 2015 |
| The implications of Mobility as a Service for urban emissions P Labee, S Rasouli, F Liao Transportation Research Part D: Transport and Environment 102, 103128, 2022 | 64 | 2022 |
| Integrated optimization of charger deployment and fleet scheduling for battery electric buses Y Wang, F Liao, C Lu Transportation Research Part D: Transport and Environment 109, 103382, 2022 | 58 | 2022 |
| Incorporating activity-travel time uncertainty and stochastic space–time prisms in multistate supernetworks for activity-travel scheduling F Liao, S Rasouli, H Timmermans International Journal of Geographical Information Science 28 (5), 928-945, 2014 | 55 | 2014 |
| Constructing personalized transportation networks in multi-state supernetworks: a heuristic approach F Liao, TA Arentze, HJP Timmermans International Journal of Geographical Information Science 25 (11), 1885-1903, 2011 | 54 | 2011 |
| A hierarchical framework for improving ride comfort of autonomous vehicles via deep reinforcement learning with external knowledge Y Du, J Chen, C Zhao, F Liao, M Zhu Computer‐Aided Civil and Infrastructure Engineering 38 (8), 1059-1078, 2023 | 53 | 2023 |
| Travel preferences of multimodal transport systems in emerging markets: The case of Beijing F Liao, Q Tian, T Arentze, HJ Huang, HJP Timmermans Transportation Research Part A: Policy and Practice 138, 250-266, 2020 | 51 | 2020 |
| Incorporating vehicle self-relocations and traveler activity chains in a bi-level model of optimal deployment of shared autonomous vehicles Q Li, F Liao Transportation Research Part B: Methodological 140, 151-175, 2020 | 48 | 2020 |