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Guoyang Qin
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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
542017
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
452021
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
272022
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
202019
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
82022
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
72023
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
5*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
52022
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
22022
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
12024
ImputeFormer: Graph Transformers for Generalizable Spatiotemporal Imputation
T Nie, G Qin, W Ma, Y Mei, J Sun
30th SIGKDD Conference on Knowledge Discovery and Data Mining, Accepted, 2023
12023
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
12020
Spatiotemporal Implicit Neural Representation as a Generalized Traffic Data Learner
T Nie, G Qin, W Ma, J Sun
arXiv preprint arXiv:2405.03185, 2024
2024
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
Coordinated routing policy for connected vehicles to monitor city-wide traffic
X Chen, G Qin, J Sun
Preprint available at SSRN 4824825, 2024
2024
Privacy-preserving traffic assignment for multimodal transportation systems
G Qin, S Deng, Q Luo, J Sun
Preprint, 2024
2024
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
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Artículos 1–20