| A kinematic wave theory of capacity drop WL Jin, QJ Gan, JP Lebacque Transportation Research Part B: Methodological 81, 316-329, 2015 | 65 | 2015 |
| A kinematic wave approach to traffic statics and dynamics in a double-ring network WL Jin, QJ Gan, VV Gayah Transportation Research Part B: Methodological 57, 114-131, 2013 | 46 | 2013 |
| PDE traffic observer validated on freeway data H Yu, Q Gan, A Bayen, M Krstic IEEE Transactions on Control Systems Technology 29 (3), 1048-1060, 2020 | 42 | 2020 |
| SPIVC: A Smartphone-based inter-vehicle communication system WL Jin, C Kwan, Z Sun, H Yang, Q Gan Proceedings of transportation research board annual meeting, 2012 | 37 | 2012 |
| Automatic identification of near-stationary traffic states based on the PELT changepoint detection Q Yan, Z Sun, Q Gan, WL Jin Transportation Research Part B: Methodological 108, 39-54, 2018 | 26 | 2018 |
| Calibration of a family of car-following models with retarded linear regression methods H Yang, Q Gan, WL Jin Transportation Research Board 90th Annual MeetingTransportation Research Board, 2011 | 21 | 2011 |
| Analysis of traffic statics and dynamics in signalized networks: a poincaré map approach QJ Gan, WL Jin, VV Gayah Transportation science 51 (3), 1009-1029, 2017 | 17 | 2017 |
| Estimation of performance metrics at signalized intersections using loop detector data and probe travel times Q Gan, G Gomes, A Bayen IEEE Transactions on Intelligent Transportation Systems 18 (11), 2939-2949, 2017 | 16 | 2017 |
| Field tests of a dynamic green driving strategy based on inter-vehicle communication H Yang, L Andres, Z Sun, Q Gan, WL Jin Transportation Research Part D: Transport and Environment 59, 289-300, 2018 | 11 | 2018 |
| A methodology for evaluating the performance of model-based traffic prediction systems G Gomes, Q Gan, A Bayen Transportation research part C: emerging technologies 96, 160-169, 2018 | 8 | 2018 |
| Validation of a macroscopic lane-changing model QJ Gan, WL Jin Transportation research record 2391 (1), 113-123, 2013 | 8 | 2013 |
| Left-lane changes in laterally unbalanced traffic: Estimating number of lane changes with data from lane-based loop detectors QJ Gan, WL Jin Transportation Research Record 2490 (1), 106-115, 2015 | 7 | 2015 |
| Adaptive coordination offsets for signalized arterial intersections using deep reinforcement learning KA Diaz, D Dailisan, U Sharaf, C Santos, Q Gan, FA Uy, MT Lim, ... arXiv preprint arXiv:2008.02691, 2020 | 4 | 2020 |
| Macroscopic modeling and analysis of urban vehicular traffic QJ Gan University of California, Irvine, 2014 | 4 | 2014 |
| Incorporating vehicular emissions into an efficient mesoscopic traffic model: An application to the alameda corrido JDS Q Gan, J Sun, W Jin University of California Transportation Center, 2011 | 4* | 2011 |
| A Graph Convolutional Network with Signal Phasing Information for Arterial Traffic Prediction V Chan, Q Gan, A Bayen arXiv preprint arXiv:2012.13479, 2020 | 1 | 2020 |
| Arterial Traffic Flow Prediction: A Deep Learning Approach with Embedded Signal Phasing Information V Chan, Q Gan, A Bayen Master’s thesis, EECS Department, University of California, Berkeley, 2020 | 1 | 2020 |
| Arterial Traffic Estimation Using Field Detector and Signal Phasing Data Q Gan, A Skabardonis | 1 | 2019 |
| Estimation of Arterial Traffic Flow Fundamental Diagrams Using Data from Advance Loop Detectors Q Gan, S Petryk Transportation Research Board 98th Annual MeetingTransportation Research Board, 2019 | | 2019 |
| CTM-Based Optimal Signal Control Strategies in Urban Networks WL Jin, Q Gan California. Dept. of Transportation. Division of Procurements and Contracts, 2017 | | 2017 |
