Computational Data Science Research Specialist
Dr. Qijian Gan is a Computational Data Science Research Specialist for the California PATH program at UC Berkeley. He earned his bachelor’s degree in Automatic Control from the University of Science and Technology of China in 2009 and earned both his master’s degree and Ph.D. in Transportation Systems Engineering from the University of California, Irvine, in 2010 and 2014.
In 2016, Dr. Gan began working at PATH as a postdoctoral researcher which later developed into a position as a R&D Engineer. This began a years-long partnership with the ITS director, Professor Alexandre Bayen, and the entire Connected Corridors team. It was during this collaboration that he succeeded in developing automated tools to analyze the quality of data retrieved from the field and a novel network-wide traffic estimation framework for the Connected Corridors I-210 Pilot. Besides that, Dr. Gan played a key role or was the PI in multiple Caltrans and University-funded research projects on traffic estimation, automated performance measures, and CTM-based signal control strategies.
Currently, Dr. Gan is the PI on the Caltrans project, “System Impact of Connected and Automated Vehicles: An Application to the I-210 Connected Corridors Pilot”, to develop an integrated platform in microsimulation to enable the modeling of CAVs and to evaluate potential impacts of CAVs on current ICM systems. This effort will help instruct Caltrans in how it can best support CAV deployment in California, as well as confirm California’s enduring leadership in the development of CAV technology.
Dr. Gan has a rich experience in transportation engineering, with a particular focus in the areas of network traffic flow theory, network modeling, simulation, freeway and arterial traffic estimation, traffic data analysis, CAV applications, and traffic signal control. He has published a number of research papers on these topics in top transportation journals, including Transportation Research Part B/C/D, Transportation Science, IEEE Transactions on ITS, and IEEE Transactions on Control Systems Technology. He is also an active reviewer for numerous transportation journals and conferences and was an associate editor for the 2018 IEEE 1st International Conference on Intelligent Transportation Systems (ITSC).
Diaz, K. A., Dailisan, D., Sharaf, U., Santos, C., Gan, Q.-J., Uy, F. A., ... & Bayen, A. M. (2020). Adaptive Coordination Offsets for Signalized Arterial Intersections using Deep Reinforcement Learning. arXiv preprint arXiv:2008.02691.
Chan, V., Gan, Q.-J., & Bayen, A. (2020). A Graph Convolutional Network with Signal Phasing Information for Arterial Traffic Prediction. arXiv preprint arXiv:2012.13479.
Yu, H., Gan, Q.-J., Bayen, A., & Krstic, M. (2020). PDE Traffic Observer Validated on Freeway Data. IEEE Transactions on Control Systems Technology.
Gan, Q.-J., and Skabardonis, A. (2019). Arterial Traffic Estimation Using Field Detector and Signal Phasing Data. UC Office of the President: Institute of Transportation Studies. Retrieved from https://escholarship.org/uc/item/7g5532jh.
Gan, Q.-J., and Petryk, S. (2019). Estimation of Arterial Traffic Flow Fundamental Diagrams Using Data from Advance Loop Detectors. Transportation Research Board 98th Annual Meeting (No. 19-05240).
Gomes, G., Gan, Q.-J., and Bayen, A., 2018. A methodology for evaluating the performance of model-based traffic prediction systems. Transportation Research Part C: Emerging Technologies, 96, pp.160-169.
Yang, H., Andres, L., Sun, Z., Gan, Q.-J., and Jin, W.-L. (2018) Field tests of a dynamic green driving strategy based on inter-vehicle communication. Transportation Research Part D: Transport and Environment, 59.
Yan, Q.-L., Sun, Z., Gan, Q.-J., Jin, W.-L. (2018) Automatic near-stationary state identification based on PELT changepoint detection. Transportation Research Part B: Methodological 108: 39-54.
Gan, Q.-J., Gomes, G., and Bayen, A. (2017). Estimation of performance metrics for signalized intersections with loop detector data and probe travel times. IEEE Transactions on Intelligent Transportation Systems, 18(11), pp.2939-2949.
Gan, Q.-J., Jin, W.-L. and Gayah, V.V. (2017). Analysis of traffic statics and dynamics in signalized networks: a Poincare ́ map approach. Transportation Science, 51(3), pp.1009-1029.
Jin, W.-L., Gan, Q.-J., and Lebacque, J.-P. (2015). A kinematic wave theory of capacity drop. Transportation Research Part B, 81, 316-329.
Gan, Q.-J., and Jin, W.-L. (2015). Left-lane changes in laterally unbalanced traffic: Estimating number of lane changes with data from lane-based loop detectors. Transportation Research Record: Journal of the Transportation Research Board, 2490, 106-115.
Gan, Q.-J., and Jin, W.-L. (2015). Invariant continuous approximate models for a signalized road link. Transportation Research Board 94th Annual Meeting. (No. 15-4327)
Gan, Q.-J., Chu, L.-Y., Sun, Z., Yang, M.-H. and Jin, W.-L. (2014). Calibration of the cell transmission model for a freeway network. Transportation Research Board 93rd Annual Meeting (No. 14-4317).
Jin, W.-L., Gan, Q.-J. and Gayah, V.V. (2013). A kinematic wave approach to traffic statics and dynamics in a double-ring network. Transportation Research Part B, 57, 114-131.
Gan, Q.-J., and Jin, W.-L. (2013). Validation of a macroscopic lane-changing model. Transportation Research Record: Journal of the Transportation Research Board, 2391, 113-123.
Jin, W.-L., Kwan, C., Sun, Z., Yang, H., and Gan, Q.-J. (2012). SPIVC: A smartphone-based inter-vehicle communication system. Transportation Research Board 91st Annual Meeting (No. 12-4538)
Yang, H., Gan, Q.-J., and Jin, W.-L. (2011). Calibration of a family of car-following models with retarded linear regression methods. Transportation Research Board 90th Annual Meeting (No. 11-4166).
Gan, Q.-J., Sun, J., Jin, W., & Saphores, J. (2011). Incorporating Vehicular Emissions into an Efficient Mesoscopic Traffic Model: An Application to the Alameda Corridor. UC Berkeley: University of California Transportation Center. Retrieved from https://escholarship.org/uc/item/7z312168.