2009年本科毕业于清华大学土木工程系，2014年获美国仁斯利尔理工大学（Rensselaer Polytechnic Institute）交通工程专业博士学位，师从Xuegang (Jeff) Ban。

同年进入美国西密歇根大学 (Western Michigan University) 土木与建设工程系任助理教授。2016年8月全职进入西南交通大学工作，任教授、博导，受聘为西南交通大学“雏鹰学者”。

主持和主研包括中国自然科学基金、美国自然科学基金、美国交通部项目在内的科研项目14项。[1] 中国国家自然科学基金青年项目: 混合均衡行为下考虑空气污染暴露的交通诱导理论与方法研究（71701173）.2018-2020,在研，主持。 [2] 美国密歇根州交通部：Association of Michigan’s Older Adult Crashes with Roadway Features.2015-2017，结题，参与。 [3] 美国密歇根州国家警察局：Comprehensive Evaluation of Pedestrian and Bicycle Crashes and Causes in Michigan. 2015-2016，结题，参与。 [4] 汽车安全与能源国家重点实验室：车联网环境下面向经济性的形式路径决策，KF14142，2014-2015，结题，参与。 [5] 美国国家自然科学基金：Mobile Sensors as Traffic Probes - Addressing Transportation Modeling and Privacy Protection in an Integrated Framework. 2010-2013，结题，参与。 [6] 美国国家自然科学基金：Mobile Using Mobile Sensors for Traffic Knowledge Extraction and Dynamic Network Management. National Science Foundation, 2011-2016，结题，参与。

在TR-Part B, TR-Part C, IEEE-Transactions on ITS等交通运输领域顶尖SCI期刊与国际学术会议上发表论文40余篇。谷歌学术引用次数521次，h-index 10。 期刊论文 [1] Hu, H.,Sun, Z., Yang X. (2019). Privacy Implication of Location-Based Service: Multi-Class Stochastic User Equilibrium and Incentive Mechanism. Transportation Research Record, Accepted. [2] Sun, Z., Tan, Y., Ma, R., Yang, X., & Zhang, J. (2018). Multiple Equilibrium Behaviors considering Human Exposure to Vehicular Emissions. Journal of Advanced Transportation. In press. [3] Sun, Z., & Ban, X. (2018). Identifying multiclass vehicles using global positioning system data. Journal of Intelligent Transportation Systems, 22(1), 1-9. [4] Liu, F., Sun, Z., Zhang, P., Peng, Q., & Qiao, Q. (2018). Analyzing Capacity Utilization and Travel Patterns of Chinese High-Speed Trains: An Exploratory Data Mining Approach. Journal of Advanced Transportation, 2018. In press. [5] Zhang, P., Sun, Z., Liu, X. (2017). Optimized skip-stop metro line operation using smart card data.Journal of Advanced Transportation. In press. [6] Alzuhairi, A., Aldhaheri, M., Sun, Z.*, Oh, J.S. & Kwigizile, V. (2016). Vehicular Emissions and Concentrations in School Zones: A Case Study. Journal of Central South University, 23(7), 1778-1785. [7] Sun, Z.*, Hao, P., Ban, X., & Yang, D. (2015). Trajectory-based vehicle energy/emissions estimation for signalized arterials using mobile sensing data. Transportation Research, Part D, 34, 27-40. [8] Yang, X., Sun, Z., Ban, X., & Holguin-Veras, J. (2014). Urban freight delivery stop identification using GPS data. Transportation Research Record, 2411, 55-61. [9] Sun, Z., Zan, B., Ban, X., & Gruteser, M. (2013). Privacy protection method for fine-grained urban traffic modeling using mobile sensors. Transportation Research, Part B, 56 (1), 50-69. [10] Sun, Z., & Ban, X. (2013a). Vehicle trajectory reconstruction for signalized intersections using mobile traffic sensors. Transportation Research, Part C, 36, 268-283. [11] Sun, Z., & Ban, X. (2013b). Vehicle classification using GPS data. Transportation Research, Part C, 37, 102-117. [12] Hao, P., Sun, Z., Ban, X., Guo, D., & Ji, Q. (2013). Vehicle index estimation for signalized intersections using sample travel times. Transportation Research, Part C, 36, 473-490. [13] Hao, P., Ban, X., Bennett, K., P., Ji, Q., & Sun, Z. (2012). Signal timing estimation using sample intersection travel times. IEEE Transactions on Intelligent Transportation Systems, 13 (2), 792-804. [14] Ban, X., Hao, P., & Sun, Z. (2011). Real time queue length estimation for signalized intersections using sample travel times from mobile sensors. Transportation Research, Part C, 19 (6), 1133-1156. 专著章节 Hao, P., Sun, Z., Ban, X., Guo, D., and Ji, Q., 2013. Vehicle index estimation for signalized intersections using sample travel times. In: Journal of Transportation and Traffic Theory (Hoogendoorn, S.P., Knoop, V.L., and Lint, H. eds), Elsevier, 473-490. 会议论文 [1] Sun, Z.* & Huang, T. (2019). Ramp Merging: Effects of Mixed Traffic Users and Cooperative Merging. Proceedings of the 98th Annual Meeting of Transportation Research Board, Washington, DC. [2] Hu, H., Sun, Z.*, Yang, X. (2019). Privacy Implication of Location-Based Service: Multi-class Stochastic User Equilibrium and Incentive Mechanism. Proceedings of the 98th Annual Meeting of Transportation Research Board, Washington, DC. [3] Sun, Z.*, Tan, Y., Ma, R., Yang, X. (2019). Multiple Equilibrium Behaviors Considering Human Exposure to Vehicular Emissions. Proceedings of the 98th Annual Meeting of Transportation Research Board, Washington, DC. [4] Liu, F., Sun, Z.*, Zhang, P., Peng, Q. & Qiao, Q. (2018). Analyzing Capacity Utilization and Travel Patterns of Chinese High-speed Trains: An Exploratory Data Mining Approach. In Proceedings of CICTP 2018, Beijing, China. [5] Sun, Z.* & Huang, T. (2018). Effect of Mixed Traffic Users on Ramp-Merging Sections: A Microscopic Analysis. In Proceedings of CICTP 2018, Beijing, China. [6] Sun, Z.*, Tan, Y., Ma, R., Yang, X. & Zhang, J. (2018). Multiple Equilibrium Behaviors Considering Human Exposure to Vehicular Emissions. In Proceedings of CICTP 2018, Beijing, China. [7] Sun, Z.*, Li, W., Ban, X., Huang, T. (2018). Adaptive Traffic Signal Control System (ACS-Lite) on Heavily Congested Arterial Traffic: Experiences and Lessons Learned. In Proceedings of CICTP 2018, Beijing, China. [8] Zhang, P., Sun, Z.* & Liu, X. (2017). Flexible skip-stop train operation based on smartcard data. Presented at CICTP 2017, Shanghai, China. [9] Sun, Z.*, Hao, P., & Ban, X. (2016). Data Fusion and Information Integration for Fine-Grained Arterial Traffic Modeling. Proceedings of the 95th Annual Meeting of Transportation Research Board, Washington, DC. [10] Alzuhairi, A., Aldhaheri, M., Sun, Z.*, Oh, J.S. & Kwigizile, V (2016). Vehicular Emissions and Concentrations in School Zones: A Case Study. Presented at CICTP 2016, Shanghai, China. [11] Sun, Z.*, Hao, P., & Ban, X. (2015). Fine-grained modeling of arterial traffic: a data fusion and information integration approach. Proceedings of the 94th Annual Meeting of Transportation Research Board, Washington, DC. [12] Sun, Z.*, & Ban, X. (2015). Identifying multiclass vehicles using GPS data. Proceedings of the 94th Annual Meeting of Transportation Research Board, Washington, DC. [13] Sun, Z.*, Ban, X., & Hao, P. (2014). Trajectory-based vehicle energy/emissions estimation for signalized arterials using mobile sensing data. Proceedings of the 93rd Annual Meeting of Transportation Research Board, Washington, DC. [14] Yang, X., Sun, Z., Ban, X., & Holguin-Veras, J. (2014). Urban freight delivery stop identification using GPS data. Proceedings of the 93rd Annual Meeting of Transportation Research Board, Washington, DC. [15] Yang, X., Sun, Z., Ban, X., Wojtowicz, J., & Holguin-Veras, J. (2014). Urban Freight Performance Evaluation Using GPS Data. Proceedings of the 93rd Annual Meeting of Transportation Research Board, Washington, DC. [16] Hao, P., Sun, Z., Ban, X., Guo, D., & Ji, Q. (2013). Vehicle index inference for signalized intersections using sample travel times. Procedia - Social and Behavioral Sciences, 80, 473-490. In the 20th International Symposium on Transportation and Traffic Theory (ISTTT) conference, Noordwijk, the Netherlands. [17] Zan, B., Sun, Z., Gruteser, M., & Ban, X. (2013). Linking anonymous traces through driving characteristics. Proceedings of the 3rd ACM conference on Data and application security and privacy (CODASPY), 293-300. New York, NY: ACM. [18] Sun, Z., Zan, B., Ban, X., & Gruteser, M. (2013). Privacy protection method for fine-grained urban traffic modeling using mobile sensors. Proceedings of the 92nd Annual Meeting of Transportation Research Board, Washington, DC. [19] Sun, Z., & Ban X. (2012). Vehicle trajectory reconstruction for signalized intersections using mobile traffic sensors. Proceedings of the 91st Annual Meeting of Transportation Research Board, Washington, DC. [20] Sun, Z., Zan, B., Ban, X., Gruteser, M., & Hao, P. (2011). Evaluation of privacy preserving algorithms using traffic knowledge based adversary models. Proceedings of the 14th IEEE ITS Conference, 1075-1082. [21] Sun, Z., & Ban, X. (2011). Vehicle trajectory reconstruction for signalized intersections using variational formulation of kinematic waves. Proceedings of the 90th Annual Meeting of Transportation Research Board, Washington, DC. [22] Hao, P., Ban, X., Bennett, K., Ji, Q., & Sun, Z. (2011). Cycle by cycle traffic signal timing parameter estimation using mobile traffic sensors. Proceedings of the 90th Annual Meeting of Transportation Research Board [CD], Washington, DC. 科技报告 [1] Oh, J.S., Kwigizile, V., Sun, Z., Clark, M.L., Kurdi, A.H., Wiersma, M.J. (2015). Costs and Benefits of MDOT Intelligent Transportation System Deployments (Final Report). MDOT Project: RC-1631. [2] Ban, X. & Sun, Z. (2013). Vehicle Classification Using Mobile Sensors (Final Report). UTRC-Region 2, Project No: 49111-11-22. [3] Ban, X., Kamga, C., Wang, X., Wojtowicz, J., Klepadlo, E., Sun, Z. & Mouskos, K. (2014). Adaptive Traffic Signal Control System (ACS-Lite) for Wolf Road. NYSDOT & UTRC-Region 2, Project No: C-10-13. [4] Ban, X. & Sun, Z. (2013). Development of a Decision-Making Tool for Corridor-Based Transportation Management. New York State Energy Research and Development Authority, Report No: C-10-03.

申请国家发明专利4项。