| Yard crane and AGV scheduling in automated container terminal: A multi-robot task allocation framework X Chen, S He, Y Zhang, LC Tong, P Shang, X Zhou Transportation Research Part C: Emerging Technologies 114, 241-271, 2020 | 166 | 2020 |
| Equity-oriented skip-stopping schedule optimization in an oversaturated urban rail transit network P Shang, R Li, Z Liu, L Yang, Y Wang Transportation Research Part C: Emerging Technologies 89, 321-343, 2018 | 142 | 2018 |
| Integrating Lagrangian and Eulerian observations for passenger flow state estimation in an urban rail transit network: A space-time-state hyper network-based assignment approach P Shang, R Li, J Guo, K Xian, X Zhou Transportation Research Part B: Methodological 121, 135-167, 2019 | 89 | 2019 |
| Integrated railway timetable rescheduling and dynamic passenger routing during a complete blockage S Zhan, SC Wong, P Shang, Q Peng, J Xie, SM Lo Transportation Research Part B: Methodological 143, 86-123, 2021 | 75 | 2021 |
| Effects of vehicle restriction policies: Analysis using license plate recognition data in Langfang, China Z Liu, R Li, XC Wang, P Shang Transportation Research Part A: Policy and Practice 118, 89-103, 2018 | 67 | 2018 |
| Optimizing electric vehicle routing problems with mixed backhauls and recharging strategies in multi-dimensional representation network S Yang, L Ning, LC Tong, P Shang Expert Systems with Applications 176, 114804, 2021 | 57 | 2021 |
| Augmented Lagrangian relaxation approach for logistics vehicle routing problem with mixed backhauls and time windows S Yang, L Ning, P Shang, LC Tong Transportation Research Part E: Logistics and Transportation Review 135, 101891, 2020 | 51 | 2020 |
| Effect of on-street parking pricing policies on parking characteristics: A case study of Nanning H Wang, R Li, XC Wang, P Shang Transportation Research Part A: Policy and Practice 137, 65-78, 2020 | 50 | 2020 |
| A new ensemble deep graph reinforcement learning network for spatio-temporal traffic volume forecasting in a freeway network P Shang, X Liu, C Yu, G Yan, Q Xiang, X Mi Digital Signal Processing 123, 103419, 2022 | 47 | 2022 |
| Simultaneously re-optimizing timetables and platform schedules under planned track maintenance for a high-speed railway network Q Zhang, RM Lusby, P Shang, X Zhu Transportation Research Part C: Emerging Technologies 121, 102823, 2020 | 44 | 2020 |
| Impact analysis of rainfall on traffic flow characteristics in Beijing W Zhang, R Li, P Shang, H Liu International Journal of Intelligent Transportation Systems Research 17, 150-160, 2019 | 40 | 2019 |
| Open-source VRPLite package for vehicle routing with pickup and delivery: a path finding engine for scheduled transportation systems X Zhou, L Tong, M Mahmoudi, L Zhuge, Y Yao, Y Zhang, P Shang, J Liu, ... Urban Rail Transit 4, 68-85, 2018 | 40 | 2018 |
| Optimization of urban single-line metro timetable for total passenger travel time under dynamic passenger demand P Shang, R Li, L Yang Procedia Engineering 137, 151-160, 2016 | 37 | 2016 |
| Integrated electric logistics vehicle recharging station location–routing problem with mixed backhauls and recharging strategies S Yang, L Ning, LC Tong, P Shang Transportation Research Part C: Emerging Technologies 140, 103695, 2022 | 36 | 2022 |
| Mitigating unfairness in urban rail transit operation: A mixed-integer linear programming approach Y Wu, H Yang, S Zhao, P Shang Transportation Research Part B: Methodological 149, 418-442, 2021 | 36 | 2021 |
| A heuristic approach to integrate train timetabling, platforming, and railway network maintenance scheduling decisions Q Zhang, RM Lusby, P Shang, X Zhu Transportation Research Part B: Methodological 158, 210-238, 2022 | 35 | 2022 |
| Open-source public transportation mobility simulation engine dtalite-s: A discretized space–time network-based modeling framework for bridging multi-agent simulation and … L Tong, Y Pan, P Shang, J Guo, K Xian, X Zhou Urban Rail Transit 5 (1), 1-16, 2019 | 35 | 2019 |
| Incident duration modeling using flexible parametric hazard‐based models R Li, P Shang Computational intelligence and neuroscience 2014 (1), 723427, 2014 | 34 | 2014 |
| Timetable synchronization and optimization considering time-dependent passenger demand in an urban subway network P Shang, R Li, Z Liu, K Xian, J Guo Transportation Research Record 2672 (8), 243-254, 2018 | 33 | 2018 |
| Dynamic passenger demand-oriented train scheduling optimization considering flexible short-turning strategy L Yang, Y Yao, H Shi, P Shang Journal of the Operational Research Society 72 (8), 1707-1725, 2021 | 32 | 2021 |
Xuesong ZhouArizona State UniversityBestätigte E-Mail-Adresse bei asu.edu