个人简历

副教授，博士生导师，获北航“蓝天新秀”资助，入选北航“青年拔尖”计划；主持国家自然科学基金面上项目、科技部重点研发专项计划（国际合作项目）课题，参与国家自然科学基金重点项目、联合项目等，长期专注于韧性交通、重大事件应急交通管控、车联网与自动驾驶相关研究，以第一/通讯作者在交通科学领域国际国内权威期刊Transportation Research Part B、C、D、IEEE Transactions on Intelligent Transportation Systems、Computer-Aided Civil and Infrastructure Engineering, Transport Policy、中国公路学报等发表论文，主持全英文海外引智课程《Transportation Resilience and Safety》，获2019年交通学院青年教师教学比赛第一名，指导学生获2022年全国交通科技大赛一等奖、2021年全国交通科技大赛二等奖、2017年滴滴全球算法大赛十强（6/3400）、中国平安产险数据建模大赛第六名（6/2749）、第七届，第三届中国互联网+大学生创新创业大赛二等奖等。 \r
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工作经历\r
2015.12-至今 交通科学与工程学院 北京航空航天大学 \r
2013.11-2015.11 工业工程系 清华大学

研究领域

交通网络韧性建模\r
城市群应急交通疏散优化\r
车联网及自动驾驶下的交通控制\r
突发事件及疫情下的交通行为研究"应急交通的建模与优化\r
在城市、公路、应急疏散交通等领域，张钊博士积累了丰富的经验，如区域疏散的时间优化模型，驾驶员和旅客出行行为模型，城市群大规模交通仿真等。他善于设利用并行计算的平台，来提升这些模型在大规模问题下的运行效率，并最终研究系统的优化条件及具体的交通管控策略；基于运筹学理论和交通仿真技术，他推动并完成了首个城市群应急交通疏散模型，基于该模型，在特大城市群应急疏散预案设定与优化、应急疏散管理和评估等方面开展了一系列研究\r
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车路协同境下的交通建模与控制优化\r
擅长利用数学建模的方法研究交通控制优化问题，并进一步提出了车路协同环境下的路网非均衡交通控制问题，改进了现有信号灯设置优化模型，将非线性的信号灯优化问题转换成了线形规划问题，并可实现动态交通流量输入下的信号灯设置优化\r
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用户行为的建模与分析\r
擅长运用离散选择模型分析用户的选择偏好，如家庭用户在车辆拥有上的行为及分析，市民对交通政策（譬如，提升油价，增加公交线路）的偏好等。并擅长对不同国家之间的用户在车辆购买及使用方面行为的分析，在充分认识了用户的选择行为后，他进一步构建相应的优化模型，并设计求解算法，为政府实施交通政策及企业研发新产品提供决策依据。他提出融合宏观经济数据和微观家庭／个人数据进行城市居民用车／购车行为的研究方法，研究了我国家庭的私人汽车拥有／使用行为，并进一步分析了不同政策影响下的我国机动车保有量发展趋势，为我国制定车辆购买／使用政策提供了决策依据"

近期论文

Zhao Zhang*, Feng Liu, Brian Wolshon, and Yu Sheng. (2020), Virutal Traffic Signals: Safe, Rapid, Efficient and Autonomous Driving without Traffic Contro, IEEE Transaction on Intelligent Transportation System (SCI: Q1). \r
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张钊，王京华，甘珍夕*，付道成，汤劲松，王晓亮，范冬晚. 新冠肺炎疫情下武汉封城令对交通流的影响：以浙江省为例[J]. 交通运输研究，2020，6（3）： 23-29.\r
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Zhao Zhang*, Nelida Herrera, Efe Tuncer, Scott Par,Mohammad Shapouri, BrianWolshone. (2020), Effects of shadow evacuation on megaregion evacuations, Transportation Research Part D. ( SCI: Q1)\r
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Wu, X., Wang, G., Fu, D., Terence K. Tong, Zhang, Z*, and Li, W.H. (2019), Modeling Arterial Traffic Dynamics with Actuated Signal Control using A Simplified Shockwave Model, IEEE Transaction on Intelligent Transportation System (SCI: Q1). \r
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Zhang, Z., Scott Parr, Nelida Herrera, & Wolshon, B*. (2019), A conceptual framework for illustrating and assessing risk, resilience, and investment in evacuation transportation systems, Transportation Research Part D，7，525-534. (SCI: Q1)\r
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Zhang, Z*., Scott Parr, Nelida Herrera, & Wolshon, B. (2019), Assessment of post-disaster re-entry in megaregions, Transportation Research Part D, 73, 307-317.(SCI: Q1)\r
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Li, M., Wu, X., Zhang, Z., Yu, G., Wang, Y., & Ma, W. (2019). A Wireless Charging Facilities Deployment Problem Considering Optimal Traffic Delay and Energy Consumption on Signalized Arterial. IEEE Transactions on Intelligent Transportation Systems (SCI: Q1).\r
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Wei, Lei., Qin, Hongmao., Wang, Yunpeng., Zhang, Z*.,&Yu, Guizhen. (2018). Virus-traffic coupled dynamic model for virus propagation in vehicle-to-vehicle communication networks. Vehicular Communication, 14, 26-38. (SCI: Q2)\r
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Zhang, Z., Jin, W., Jiang*, H., Xie, Q., Shen, W., & Han, W. (2017). Modeling heterogeneous vehicle ownership in China: A case study based on the Chinese national survey. Transport Policy, 54, 11-20. (SCI: Q1)\r
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Zhang, Z*., Parr, S., Jiang, H., Wolshon, B. (2015). Optimization Model for Regional Evacuation Transportation System Using Macroscopic Productivity Function. Transportation Research Part B: Methodological, (81)，616-630. (SCI: Q1)\r
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Zhang, Z., Wolshon*, B., Dixit, V. (2015). Integration of a Cell Transmission Model and Macroscopic Fundamental Diagram: Network Aggregation for Dynamic Traffic Models. Transportation Research Part C: Emerging Technologies, 298-309. (SCI: Q1)\r
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Montz, T. and Zhang, Z*. (2015). Modeling Regional Hurricane Evacuation Events: Calibration and Validation. Natural Hazards Review, 16(4) (SCI: Q3)\r
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Zhang, Z., Wolshon*, B. (2014). Effect of Phased Evacuations in Megaregion Highway Networks. Transportation Research Record: Journal of the Transportation Research Board, 2459(1), 101-109. (SCI: Q4)\r
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Zhang, Z., Spansel, K., Dixit, V., Wolshon*, B. (2014). Performance Characteristics of Megaregion Traffic Networks During Mass Evacuations. International Journal of Transportation Vol.2, No.3, pp.53-72.\r
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Zhang, Z., Spansel, K., Wolshon*, B. (2013). Megaregion network simulation for evacuation analysis. Transportation Research Record: Journal of the Transportation Research Board, 2397(1), 161-170. (SCI: Q4)\r
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张钊*, 尹俊淞. (2013). 飓风下城市群应急交通疏散建模研究. 中国安全科学学报, 第23卷，第8期, 30-36页.\r
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张钊*, 林菁. (2013). 飓风下城市群应急交通疏散模拟及验证. 中国安全科学学报, 第23卷，第8期, 15-19 页.\r
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张钊, 晏启鹏*, 刘澜. (2009). 突发事件下应急交通疏散管理研究. 铁道运输与经济, 第31卷, 第5期, 85-89页.\r
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会议论文\r
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Guo, mengdi, Wang, dingyuan., Zhang, Z.*(2019). A least square optimization algorithm for road network map inference based GPS trajectory data, Transportation Research Board 98th Annual Meeting.\r
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Guo, mengdi, Wang, dingyuan., Fu, daocheng, Zhang, Z. *(2019), Dynamic Estimation of Queue Length at Signalized Intersections Using GPS Trajectory Data. Proceedings of the 19th COTA International Conference of Transportation Professionals (CICTP2019). (EI)\r
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Wang, Jinhua, Zhang, Z. *, Lu, guangquan,(2019), Prediction accuracy improvement of avoidance driving behavior model based on Game Theory: Introducing jerk to refine acceleration. Proceedings of the 19th COTA International Conference of Transportation Professionals (CICTP2019). (EI)\r
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Liu, Yanyue, Zhang, Z. *, (2019), Optimization of evacuation traffic flow distribution based on road fundamental diagram. Proceedings of the 19th COTA International Conference of Transportation Professionals (CICTP2019). (EI)\r
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Mengdi GUO1 Guokun DING4 Daocheng Fu, Zhang. Z*,(2019) Investigating Correlation Between Personal Route Choice Behaviors and Macroscopic Traffic Flow Distribution Based on Long-term GPS Trajectory Data of Floating Vehicles. Proceedings of the 19th COTA International Conference of Transportation Professionals (CICTP2019). (EI)\r
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Wolshon*, B., Zhang, Z, S. Parr, B. Mitchell, J. Pardue, (2015). Agent-Based Modeling for Evacuation Traffic Analysis in Megaregion Road Networks. 6th International Conference on Ambient Systems, Networks and Technologies, Procedia Computer Science.\r
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Zhang, Z., Parr, S., Wolshon*, B. (2014). Application of a productivity function to asses network performance during mass evacuation. Transportation Research Board 94th Annual Meeting. \r
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Zhang, Z., Yan*, Qipeng. (2009). Forecasting Model of Evacuation Traffic Demand under Emergency. International Conference on Transportation Engineering (ASCE). vol2, pp 4128-4133. (EI)