Mining factors affecting taxi drivers’ incomes using GPS trajectories G Qin, T Li, B Yu, Y Wang, Z Huang, J Sun Transportation Research Part C: Emerging Technologies 79, 103-118, 2017 | 54 | 2017 |
Optimizing matching time intervals for ride-hailing services using reinforcement learning G Qin, Q Luo, Y Yin, J Sun, J Ye Transportation Research Part C: Emerging Technologies 129, 103239, 2021 | 44 | 2021 |
Truncated tensor Schatten p-norm based approach for spatiotemporal traffic data imputation with complicated missing patterns T Nie, G Qin, J Sun Transportation Research Part C: Emerging Technologies 141, 103737, 2022 | 25 | 2022 |
ProbDetect: A choice probability-based taxi trip anomaly detection model considering traffic variability G Qin, Z Huang, Y Xiang, J Sun Transportation Research Part C: Emerging Technologies 98, 221-238, 2019 | 19 | 2019 |
Integrated macro-micro modeling for individual vehicle trajectory reconstruction using fixed and mobile sensor data X Chen, J Yin, G Qin, K Tang, Y Wang, J Sun Transportation Research Part C: Emerging Technologies 145, 103929, 2022 | 8 | 2022 |
Correlating sparse sensing for large-scale traffic speed estimation: A Laplacian-enhanced low-rank tensor kriging approach T Nie, G Qin, Y Wang, J Sun Transportation Research Part C: Emerging Technologies 152, 104190, 2023 | 6 | 2023 |
Toward privacy-aware multimodal transportation: Convergence to network equilibrium under differential privacy G Qin, S Deng, Q Luo, H Kerivin, J Sun Presented at the 102nd Annual Meeting of the Transportation Research Board, 2022 | 5 | 2022 |
Towards better traffic volume estimation: Jointly addressing the underdetermination and nonequilibrium problems with correlation-adaptive GNNs T Nie, G Qin, Y Wang, J Sun Transportation Research Part C: Emerging Technologies 157, 104402, 2023 | 4* | 2023 |
Ride-hail to ride rail: Learning to balance supply and demand in ride-hailing services with intermodal mobility options G Qin, J Sun Transportation Research Part C: Emerging Technologies 144, 103887, 2022 | 2 | 2022 |
𝑁𝑒𝑥𝑢𝑠 𝑠𝑖𝑛𝑒 𝑞𝑢𝑎 𝑛𝑜𝑛: Essentially connected networks for traffic forecasting T Nie, G Qin, Y Wang, J Sun arXiv preprint arXiv:2307.01482, 2023 | 1* | 2023 |
Optimal delayed matching policy for ride-hailing services using reinforcement learning G Qin, Q Luo, Y Yin, J Sun, J Ye Presented at the 100th Annual Meeting of the Transportation Research Board, 2020 | 1 | 2020 |
RoutesFormer: A sequence-based route choice Transformer for efficient path inference from sparse trajectories S Qiu, G Qin, M Wong, J Sun Transportation Research Part C: Emerging Technologies 162, 104552, 2024 | | 2024 |
A macro-micro approach to reconstructing vehicle trajectories on multi-lane freeways with lane changing X Chen, G Qin, T Seo, J Yin, Y Tian, J Sun Transportation Research Part C: Emerging Technologies 160, 104534, 2024 | | 2024 |
ImputeFormer: Graph Transformers for Generalizable Spatiotemporal Imputation T Nie, G Qin, W Ma, Y Mei, J Sun arXiv preprint arXiv:2312.01728, 2023 | | 2023 |
Contextualizing MLP-Mixers Spatiotemporally for Urban Data Forecast at Scale T Nie, G Qin, L Sun, W Ma, Y Mei, J Sun arXiv preprint arXiv:2307.01482, 2023 | | 2023 |
Towards sparser radar placements: Exploiting vehicle trackability from partial trajectories with a Generator-as-a-Matcher approach X Su, G Qin, J Sun Presented at the 103rd Annual Meeting of the Transportation Research Board …, 2023 | | 2023 |
Saddle point bottlenecks: The cause of disintegration of large-scale urban traffic networks B Feng, G Qin, J Sun Submitted to the 103rd Annual Meeting of the Transportation Research Board …, 2023 | | 2023 |
Privacy-preserving traffic assignment for multimodal transportation systems G Qin, S Deng, Q Luo, J Sun | | 2023 |
Individual vehicle trajectory reconstruction for millimeter wave radar detection: A texture synthesis approach X Su, X Chen, G Qin, D Wang, J Sun Presented at the 102nd Annual Meeting of the Transportation Research Board, 2022 | | 2022 |