Congestion pricing practices and public acceptance: A review of evidence Z Gu, Z Liu, Q Cheng, M Saberi Case Studies on Transport Policy 6 (1), 94-101, 2018 | 168 | 2018 |
Robust optimization of distance-based tolls in a network considering stochastic day to day dynamics Z Liu, S Wang, B Zhou, Q Cheng Transportation Research Part C: Emerging Technologies 79, 58-72, 2017 | 90 | 2017 |
A tailored machine learning approach for urban transport network flow estimation Z Liu, Y Liu, Q Meng, Q Cheng Transportation Research Part C: Emerging Technologies 108, 130-150, 2019 | 87 | 2019 |
Influencing factors in congestion pricing acceptability: A literature review A Selmoune, Q Cheng, L Wang, Z Liu Journal of Advanced Transportation 2020, 4242964, 2020 | 64 | 2020 |
An s-shaped three-parameter (S3) traffic stream model with consistent car following relationship Q Cheng, Z Liu, Y Lin, X Zhou Transportation Research Part B: Methodological 153, 246-271, 2021 | 63 | 2021 |
Estimating key traffic state parameters through parsimonious spatial queue models Q Cheng, Z Liu, J Guo, X Wu, R Pendyala, B Belezamo, X Zhou Transportation Research Part C: Emerging Technologies 137, 103596, 2022 | 54 | 2022 |
Surrogate-based simulation optimization approach for day-to-day dynamics model calibration with real data Q Cheng, S Wang, Z Liu, Y Yuan Transportation Research Part C: Emerging Technologies 105, 422-438, 2019 | 51 | 2019 |
Traffic state estimation of urban road networks by multi-source data fusion: Review and new insights J Xing, W Wu, Q Cheng, R Liu Physica A: Statistical Mechanics and its Applications 595, 127079, 2022 | 47 | 2022 |
A cell-based dynamic congestion pricing scheme considering travel distance and time delay Q Cheng, Z Liu, WY Szeto Transportmetrica B: Transport Dynamics 7 (1), 1286-1304, 2019 | 47 | 2019 |
A meso-to-macro cross-resolution performance approach for connecting polynomial arrival queue model to volume-delay function with inflow demand-to-capacity ratio XS Zhou, Q Cheng, X Wu, P Li, B Belezamo, J Lu, M Abbasi Multimodal Transportation 1 (2), 100017, 2022 | 37* | 2022 |
A bi-level programming model for the optimal lane reservation problem Q Cheng, Y Chen, Z Liu Expert Systems With Applications 189, 116147, 2022 | 28* | 2022 |
Estimation of urban network capacity with second-best constraints for multimodal transport systems Z Liu, Z Wang, Q Cheng, R Yin, M Wang Transportation Research Part B: Methodological 152, 276-294, 2021 | 26 | 2021 |
Urban dynamic congestion pricing: an overview and emerging research needs Q Cheng, Z Liu, F Liu, R Jia International Journal of Urban Sciences 21 (Sup1), 3-18, 2017 | 24 | 2017 |
Analysis and forecasting of the day-to-day travel demand variations for large-scale transportation networks: a deep learning approach Q Cheng, Y Liu, W Wei, Z Liu Transportation Analytics Contest, Tech. Rep, 2016 | 24 | 2016 |
Analysis of adding-runs strategy for peak-hour regular bus services Q An, X Fu, D Huang, Q Cheng, Z Liu Transportation Research Part E: Logistics and Transportation Review 143, 102100, 2020 | 20 | 2020 |
Customized bus route optimization with the real-time data K Huang, L Xu, Y Chen, Q Cheng, K An Journal of Advanced Transportation 2020, 8838994, 2020 | 18 | 2020 |
Bayesian optimization for congestion pricing problems: A general framework and its instability J Huo, Z Liu, J Chen, Q Cheng, Q Meng Transportation Research Part B: Methodological 169, 1-28, 2023 | 17 | 2023 |
Car-following models for human-driven vehicles and autonomous vehicles: A systematic review Z Wang, Y Shi, W Tong, Z Gu, Q Cheng Journal of transportation engineering, Part A: Systems 149 (8), 04023075, 2023 | 16 | 2023 |
Analysis of the information entropy on traffic flows Z Liu, Y Wang, Q Cheng, H Yang IEEE Transactions on Intelligent Transportation Systems 23 (10), 18012-18023, 2022 | 15 | 2022 |
Full-scale spatio-temporal traffic flow estimation for city-wide networks: a transfer learning based approach Y Zhang, Q Cheng, Y Liu, Z Liu Transportmetrica B: Transport Dynamics 11 (1), 869-895, 2023 | 14 | 2023 |