PhD, The University of Washington
Selected Publications
Yang, H., Cai, J., Zhu, M., Liu, C. and Wang, Y., 2022. Traffic-Informed Multi-Camera Sensing (TIMS) System Based on Vehicle Re-Identification. IEEE Transactions on Intelligent Transportation Systems.
Zhu, M., Yang, H.F., Liu, C., Pu, Z. and Wang, Y., 2022. Real-time crash identification using connected electric vehicle operation data. Accident Analysis & Prevention, 173, p.106708.
Zhu, M., Zhu, W., Lutin, J.M., Cui, Z. and Wang, Y., 2021. Developing a Practical Method to Compute State-Level Bus Occupancy Rate. Journal of Transportation Engineering, Part A: Systems, 147(6), p.05021001.
Sun, P., Wang, X. and Zhu, M., 2021. Modeling car-following behavior on freeways considering driving style. Journal of transportation engineering, Part A: Systems, 147(12), p.04021083.
Yang, H., Liu, C., Zhu, M., Ban, X. and Wang, Y., 2021. How fast you will drive? predicting speed of customized paths by deep neural network. IEEE Transactions on Intelligent Transportation Systems, 23(3), pp.2045-2055.
Wang, H., Zhu, M., Hong, W., Wang, C., Tao, G. and Wang, Y., 2020. Optimizing signal timing control for large urban traffic networks using an adaptive linear quadratic regulator control strategy. IEEE Transactions on Intelligent Transportation Systems, 23(1), pp.333-343.
Pu, Z., Zhu, M., Li, W., Cui, Z., Guo, X. and Wang, Y., 2020. Monitoring public transit ridership flow by passively sensing Wi-Fi and Bluetooth mobile devices. IEEE Internet of Things Journal, 8(1), pp.474-486.
Zhu, M., Wang, X. and Hu, J., 2020. Impact on car following behavior of a forward collision warning system with headway monitoring. Transportation research part C: emerging technologies, 111, pp.226-244.
Zhu, M., Wang, Y., Pu, Z., Hu, J., Wang, X. and Ke, R., 2020. Safe, efficient, and comfortable velocity control based on reinforcement learning for autonomous driving. Transportation Research Part C: Emerging Technologies, 117, p.102662.
Zhu, M., Wang, X. and Wang, Y., 2018. Human-like autonomous car-following model with deep reinforcement learning. Transportation research part C: emerging technologies, 97, pp.348-368.
Zhu, M., Wang, X. and Tarko, A., 2018. Modeling car-following behavior on urban expressways in Shanghai: A naturalistic driving study. Transportation research part C: emerging technologies, 93, pp.425-445.
Wang, X., Zhu, M., Chen, M. and Tremont, P., 2016. Drivers’ rear end collision avoidance behaviors under different levels of situational urgency. Transportation research part C: emerging technologies, 71, pp.419-433.
Wang, X., Chen, M., Zhu, M. and Tremont, P., 2016. Development of a kinematic-based forward collision warning algorithm using an advanced driving simulator. IEEE Transactions on Intelligent Transportation Systems, 17(9), pp.2583-2591.
Honors and Awards
2022 American Statistical Association (ASA) Transportation Statistics Interest Group (TSIG) student paper award
2nd Place, Transportation Forecasting Competition, TRB AI Committee AED50
Most Cited Paper, Transportation Research Part C: Emerging Technologies
Wining Award, 2021 Digital China Innovation Contest
Outstanding Graduates of Shanghai, Shanghai Education Commission, 2017
National Graduate Scholarship (2016, 2017), Ministry of Education, China