| 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 | 44 | 2022 |
| Learn, assign, and search: real-time estimation of dynamic origin-destination flows using machine learning algorithms J Ou, J Lu, J Xia, C An, Z Lu IEEE Access 7, 26967-26983, 2019 | 37 | 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 | 18* | 2023 |
| Virtual track networks: A hierarchical modeling framework and open-source tools for simplified and efficient connected and automated mobility (CAM) system design based on … J Lu, XS Zhou Transportation Research Part C: Emerging Technologies 153, 104223, 2023 | 16* | 2023 |
| 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 |
| Rich arc routing problem in city logistics: Models and solution algorithms using a fluid queue-based time-dependent travel time representation J Lu, Q Nie, M Mahmoudi, J Ou, C Li, XS Zhou Transportation Research Part B: Methodological 166, 143-182, 2022 | 15 | 2022 |
| Big-data driven framework to estimate vehicle volume based on mobile device location data M Yang, W Luo, M Ashoori, J Mahmoudi, C Xiong, J Lu, G Zhao, ... Transportation research record 2678 (2), 352-365, 2024 | 11 | 2024 |
| Prediction model of bus arrival time based on particle swarm optimization and wavelet neural network JI Yan-jie, LU Jia-wei, C Xiao-shi, HU Bo Journal of Transportation Systems Engineering and Information Technology 16 …, 2016 | 11 | 2016 |
| Analytical approximation and calibration of roundabout capacity: A merging state transition-based modeling approach Y Song, X Hu, J Lu, X Zhou Transportation research part B: methodological 163, 232-257, 2022 | 9 | 2022 |
| Using frequency domain analysis to elucidate travel time reliability along congested freeway corridors Q Cheng, Z Liu, J Lu, G List, P Liu, XS Zhou Transportation research part B: methodological 184, 102961, 2024 | 8 | 2024 |
| Analytical characterization of multi-state effective discharge rates for bus-only lane conversion scheduling problem Q Tang, X Hu, J Lu, X Zhou Transportation Research Part B: Methodological 148, 106-131, 2021 | 8 | 2021 |
| Reliable traffic state identification using high-resolution data: A consistent offline-online dynamic time warping–based time series clustering approach J Lu, Q Nie, Y Wang, J Xia, Z Lu, J Ou Transportation Research Record 2677 (8), 509-524, 2023 | 5 | 2023 |
| K Shortest Path Searching for Time-Dependent Road Networks J Lu, X Chen, Q Nie, R Hong, J Xia 17th COTA International Conference of Transportation Professionals, 793-804, 2017 | 4 | 2017 |
| A robust integrated multi-strategy bus control system via deep reinforcement learning Q Nie, J Ou, H Zhang, J Lu, S Li, H Shi Engineering Applications of Artificial Intelligence 133, 107986, 2024 | 2 | 2024 |
| Revitalizing Public Transit in Low Ridership Areas: An Exploration of On-Demand Multimodal Transit Systems J Lu, C Riley, KM Gurumurthy, P Van Hentenryck arXiv preprint arXiv:2308.01298, 2023 | 2 | 2023 |
| Computational graph-based mathematical programming reformulation for integrated demand and supply models T Kim, J Lu, RM Pendyala, XS Zhou Transportation Research Part C: Emerging Technologies 164, 104671, 2024 | 1 | 2024 |
| Dynamic systems modeling and integrated transportation demand-and-supply management with a polynomial arrival queue model Q Cheng, Y Lin, J Lu Journal of Transportation Engineering, Part A: Systems 150 (4), 04024005, 2024 | 1 | 2024 |
| Connected and Automated Mobility Modeling on Layered Transportation Networks: Cross-Resolution Architecture of System Estimation and Optimization J Lu Arizona State University, 2022 | 1 | 2022 |
| Boosting Column Generation with Graph Neural Networks for Joint Rider Trip Planning and Crew Shift Scheduling J Lu, T Ye, W Chen, P Van Hentenryck arXiv preprint arXiv:2401.03692, 2024 | | 2024 |
| Generating Alternative Pre-Trip Guidance for Metro Users by Considering Travel Time and Trip Feeling J Lu, Y Wang, N Zhang, X Chen, J Xia 17th COTA International Conference of Transportation Professionals, 1834-1844, 2017 | | 2017 |
Xuesong ZhouArizona State University在 asu.edu 的电子邮件经过验证
Xuesong ZhouArizona State University在 asu.edu 的电子邮件经过验证