| Hierarchical travel demand estimation using multiple data sources: A forward and backward propagation algorithmic framework on a layered computational graph X Wu, J Guo, K Xian, X Zhou Transportation Research Part C: Emerging Technologies 96, 321-346, 2018 | 99 | 2018 |
| Estimating key traffic state parameters through parsimonious spatial queue models Q Cheng, Z Liu, J Guo, X Wu, R Pendyala, B Belezamo, XS Zhou Transportation Research Part C: Emerging Technologies 137, 103596, 2022 | 54 | 2022 |
| Analysis of the Chinese railway system as a complex network W Wang, K Cai, W Du, X Wu, LC Tong, X Zhu, X Cao Chaos, Solitons & Fractals 130, 109408, 2020 | 52 | 2020 |
| A perishable food supply chain problem considering demand uncertainty and time deadline constraints: Modeling and application to a high-speed railway catering service X Wu, L Nie, M Xu, F Yan Transportation Research Part E: Logistics and Transportation Review 111, 186-209, 2018 | 44 | 2018 |
| Designing an integrated distribution system for catering services for high-speed railways: A three-echelon location routing model with tight time windows and time deadlines X Wu, L Nie, M Xu Transportation Research Part C: Emerging Technologies 74, 212-244, 2017 | 42 | 2017 |
| 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 | 34 | 2022 |
| Robust fuzzy quality function deployment based on the mean-end-chain concept: Service station evaluation problem for rail catering services X Wu, L Nie, M Xu European Journal of Operational Research 263 (3), 974-995, 2017 | 33 | 2017 |
| Improving Synchronization in an Air and High‐Speed Rail Integration Service via Adjusting a Rail Timetable: A Real‐World Case Study in China Y Ke, L Nie, C Liebchen, W Yuan, X Wu Journal of advanced transportation 2020 (1), 5081315, 2020 | 18 | 2020 |
| Analyzing the impact of traffic congestion mitigation: From an explainable neural network learning framework to marginal effect analyses J Sun, J Guo, X Wu, Q Zhu, D Wu, K Xian, X Zhou Sensors 19 (10), 2254, 2019 | 17 | 2019 |
| Synchronizing time-dependent transportation services: Reformulation and solution algorithm using quadratic assignment problem XB Wu, J Lu, S Wu, XS Zhou Transportation Research Part B: Methodological 152, 140-179, 2021 | 16 | 2021 |
| Characterization and calibration of volume-to-capacity ratio in volume-delay functions on freeways based on a queue analysis approach XB Wu, A Dutta, W Zhang, H Zhu, V Livshits, XS Zhou Transportation Research Record: Journal of the Transportation Research Board, 2021 | 14 | 2021 |
| A dynamic bid price approach for the seat inventory control problem in railway networks with consideration of passenger transfer W Yuan, L Nie, X Wu, H Fu PLoS One 13 (8), e0201718, 2018 | 12 | 2018 |
| Distribution planning problem for a high-speed rail catering service considering time-varying demands and pedestrian congestion: A lot-sizing-based model and decomposition … X Wu, L Nie, M Xu, L Zhao Transportation research part E: logistics and transportation review 123, 61-89, 2019 | 11 | 2019 |
| Physics-informed neural networks for integrated traffic state and queue profile estimation: A differentiable programming approach on layered computational graphs J Lu, C Li, XB Wu, XS Zhou Transportation Research Part C: Emerging Technologies 153, 104224, 2023 | 9 | 2023 |
| How to optimize train stops under diverse passenger demand: a new line planning method for large-scale high-speed rail networks X Zhang, L Nie, X Wu, Y Ke Networks and Spatial Economics 20, 963-988, 2020 | 8 | 2020 |
| Service Station Evaluation Problem in Catering Service of High‐Speed Railway: A Fuzzy QFD Approach Based on Evidence Theory X Wu, L Nie, M Xu Mathematical Problems in Engineering 2015 (1), 404926, 2015 | 7 | 2015 |
| Weekly line planning to improve the match between rail supply and passenger demand B Nie, L Nie, H Fu, X Wu Computer‐Aided Civil and Infrastructure Engineering 38 (13), 1810-1833, 2023 | 4 | 2023 |
| Passenger flow forecasting for chinese high speed rail network N Leng, L Nie, G Guo, X Wu 2015 International Conference on Mechatronics, Electronic, Industrial and …, 2015 | 4 | 2015 |
| Synchronizing train, aircraft, shuttle, and passenger flows in intermodal timetabling: A time–space network-based formulation and a decomposition algorithm using Alternating … Y Ke, X Wu, L Nie, Z Yao, Y Chen Transportation Research Part C: Emerging Technologies 159, 104464, 2024 | 3 | 2024 |
| Traffic System State Identification with Integrated Traffic State, Model Parameter and Queue Profile Estimation: Nonlinear Programming Reformulation with Differentiable Traffic … J Lu, C Li, XB Wu, XS Zhou Xuesong (Simon), Traffic System State Identification with Integrated Traffic …, 2022 | 3 | 2022 |
Xuesong ZhouArizona State University在 asu.edu 的电子邮件经过验证
