氢原子百科 
个人资料
周学松博士主要研究领域是交通运输组织现代化，如大规模交通网络状态估计、管理、仿真和优化模型构建，是少数横跨道路交通和铁路运输管理两个应用领域的学者。已发表文章50多篇，在学科影响因子前5%的期刊发表论文10多篇，Google Scholar引用达1300 次以上，其H-指数是22。
周学松博士独立开发的开源软件DTALite（Light-weight Dynamic Traffic Assignment Engine），是目前唯一可以处理2000万辆以上车辆的大规模交通模拟软件。DTALite从首次发布至今，累计下载量已达到4000余次。
发明专利“Key2SafeDriving”装置通过蓝牙或射频电子标志技术阻止青少年开车时使用手机。该发明能有效的提供交通驾驶安全保障，能为社会产生巨大效益。该发明被包括纽约时报和华尔街日报在内的300多家国际知名媒体报导。
周学松博士2006-2008年在Dash 导航公司担任交通数据体系总设计师，参与开发了美国第一个商业化基于因特网的GPS导航系统。Dash 导航公司至今在美国共获得超过8千万美元风险投资基金。
周学松博士指导的学生Muhammad Khan、孟令云和石铁分别于2008、2010和2014年获得国际运筹与管理研究协会——铁路应用分会（INFORMS RAS）学生论文竞赛的荣誉奖、第二名和第一名。周学松博士及其指导的学生首次提出了基于数据驱动的车辆跟驰模型，用以预测分心驾驶所带来的安全隐患。该研究成果于2012年获得第15届IEEE ITS大会最佳论文奖。指导的学生团队于2009年研发了基于手机应用的出行者路径导航程序，获得了由美国微软公司举办的“想象杯荣誉奖”（Imagine Cup Windows Mobile Award）。
工作经历
2007年1月至2013年7月，助理教授/副教授（终身教职），犹他大学，美国；
2005年8月至2006年4月，研究科学家，北卡罗莱纳州立大学，美国；
2004年8月至2005年8月，研究助理教授，马里兰大学，美国。
学术任职
现任Transportation Research Part B 编委，Transportation Research Part C 副主编，Networks and Spatial Economics 副主编，Urban Transit Rail (英文版) 执行副主编。
在国际运筹与管理学和智能交通学术组织任以下职务：国际运筹与管理研究协会INFORMS Rail Application Section（铁路应用分会）副主席，IEEE智能交通系统协会，Technical Committee on Traffic and Travel Management（交通和出行管理技术委员会）联合主席，Transportation Research Board (TRB) Committee on Transportation Network Modeling Subcommittee（美国交通研究委员会网络模型）分会主席，Network Equilibrium Subcommittee（美国交通研究委员会网络平衡）分会主席。
主要学术论文
1. P. Li., X. Zhou*, P. Mirchandani. Solving Simultaneous Route Guidance and Traffic Signal Optimization Problem Using Coupled Space-time and Phase-time Networks.Transportation Research Part B. In Press.
2. Tong, L. Zhou*, X. Miller, H.J.. Transportation Network Design for Maximizing Space-time Accessibility.Transportation Research Part B. In Press.
3. Zhou*, X., S. Tanvir, H. Lei, J. Taylor, B. Liu, N. M. Rouphail, H. C. Frey. (2015) Integrating a Simplified Emission Estimation Model and Mesoscopic Dynamic Traffic Simulator to Efficiently Evaluate Emission Impacts of Traffic Management Strategies.Transportation Research Part D: Transport and Environment.37, 123-136.
4. H. Niu, X. Tian, X. Zhou. (2015) Demand-Driven Train Schedule Synchronization for High-Speed Rail Lines.IEEE Transactions on Intelligent Transportation Systems.99, 1-11.
5. Shi, T. X. Zhou*. (2015) A Mixed Integer Programming Model for Optimizing Multi-level Operations Process in Railroad Yards.Transportation Research Part B. In Press.
6. Zhang, J., Jia, L., Niu, S., Zhang, F., Tong, L., Zhou*, X. (2015) A Space-Time Network-Based Modeling Framework for Dynamic Unmanned Aerial Vehicle Routing in Traffic Incident Monitoring Applications. Sensors, 15, 13874-13898.
7. Niu, H. Zhou, X. Gao, R. Train Scheduling for Minimizing Passenger Waiting Time with Time-Dependent Demand and Skip-Stop Patterns: Nonlinear Integer Programming Models with Linear Constraints.Transportation Research Part B. 76, 117–135.
8. Ma, J. Smith, B.L., Zhou*, X. (2015) Personalized Real-time Traffic Information Provision: Agent-based Optimization Model and Solution Framework. In Press.Transportation Research Part C.
9. Taylor, J., Zhou*, X. Rouphail, N., Porter, R.J. (2015) Method for investigating intradriver heterogeneity using vehicle trajectory data: A Dynamic Time Warping approach.Transportation Research Part B, 73, 59-80.
10. Przybyla, J., Taylor, J., Jupe, J., Zhou, X.* (2015). Estimating risk effects of driving distraction: A dynamic errorable car-following model.Transportation Research Part C: Emerging Technologies. 50, 117–129.
11. Zhou*, X., Taylor, J. (2014). DTALite: A queue-based mesoscopic traffic simulator for fast model evaluation and calibration.Cogent Engineering,1, 961345.
12. Meng, L., & Zhou*, X. (2014). Simultaneous train rerouting and rescheduling on an N-track network: A model reformulation with network-based cumulative flow variables.Transportation Research Part B: Methodological,67, 208-234.
13. Yang, L., Zhou*,X. (2014). Constraint Reformulation and a Lagrangian Relaxation-based Solution Algorithm for a Least Expected Time Path Problem.Transportation Research Part B, 59, 22-44.
14. Niu, H., Zhou, X. (2013) Optimizing Urban Rail Timetable under Time-dependent Demand and Oversaturated Conditions.Transportation Research Part C.36, 212-230.
15. Deng, W. Lei H. ,Zhou, X*. (2013) Freeway Traffic State Estimation and Uncertainty Quantification based on Heterogeneous Data Sources: Stochastic Three DetectorTransportation Research Part B.57,132-157.
16. Lu C-C, Zhou, X*. Zhang, K. (2013) Dynamic Origin-Destination Demand Flow Estimation under Congested Traffic Conditions.Transportation Research Part C.34, 16-37.
17. Xing, T. Zhou, X*. Taylor J. (2013) Designing Heterogeneous Sensor Networks for Estimating and Predicting Path Travel Time Dynamics: An Information-Theoretic Modeling Approach.Transportation Research Part B.57, 66-90.
18. Xing, T. Zhou*, X. (2013) Reformulation and Solution Algorithms for Absolute and Percentile Robust Shortest Path Problems. IEEE Transactions on Intelligent Transportation Systems. 99,1-12.
19. Xing. T. Zhou*, X. (2011) Finding the Most Reliable Path With and Without Link Travel Time Correlation: A Lagrangian Substitution Based Approach,Transportation Research Part B. 45 (10) , 1660-1679.
20. Meng, L. Zhou*, X. (2011) Robust train dispatching model under a dynamic and stochastic environment: a scenario-based rolling horizon solution approach, Transportation Research Part B.45(7), 1080-1102.
21. Chen, X., Zhou*, X. List, G. Using Time-Varying Tolls to Optimize Truck Arrivals at Ports, (2011)
22. Zhou*, X. and List, G. (2010)An Information-Theoretic Sensor Location Model for Traffic Origin-Destination Demand Estimation Applications.Transportation Science. 44, 254-273.
23. Khan, M.B., and Zhou*, X (2010) Slack Time Allocation in Robust Double-Track Train Timetabling Applications,IEEE Transactions on Intelligent Transportation Systems,11(1) 1. 81-89.
24. Lu, C-C., Mahmassani, H.S. and Zhou, X. (2009) Equivalent Gap Function-Based Reformulation and Solution Algorithm for the Dynamic User Equilibrium Problem.Transportation Research Part B.43(3), 345-364.
25. Lu, C-C., Mahmassani, H.S. and Zhou, X. (2008) A Bi-criterion Dynamic User Equilibrium Traffic Assignment Model and Solution Algorithm for Evaluating Dynamic Road Pricing Strategies.Transportation Research Part C,16(4), 371-389.
26.Zhou, X, Mahmassani, H.S. and Zhang, K. (2008) Dynamic Micro-assignment Modeling Approach for Integrated Multimodal Urban Corridor Management.Transportation Research Part C, 16, No. 2 , 167-186.The most downloaded article, January - June 2008, in Transportation Research Part C.
27. Zhou, X. and Mahmassani. H. S. (2007) A Structural State Space Model for Real-Time Origin-Destination Demand Estimation and Prediction in a Day-to-Day Updating Framework.Transportation Research Part B,41(8), 823-840.The most downloaded article, July - September 2007, in Transportation Research Part B.
28. Zhou*, X. and Zhong, M. (2007) Single-Track Train Timetabling with Guaranteed Optimality: Branch and Bound Algorithms with Enhanced Lower Bounds. Transportation Research Part B, 41(3), 320-341Top 10 most cited articles in the period of 2007-2012, in Transportation Research Part B.
29. Zhou, X. and Mahmassani. H. S. (2006) Dynamic OD Demand Estimation Using Automatic Vehicle Identification Data.IEEE Transactions on Intelligent Transportation Systems,7(1), 105-114.
30. Zhou*, X. and Zhong, M. (2005) Bicriteria Train Scheduling for High-Speed Passenger Railroad Planning Applications,European Journal of Operational ResearchVol, 167(3) 752-771.
发明专利
1. US 8,204,649 (Issued) Integrated Systems and Method for Preventing Mobile Computing Device Use While Driving, 06/21/2012, Co-inventor: Wallace M. Curry, Jr
2. US 8,971,927 (Issued) System and method for preventing cell phone use while driving, 03/03, 2015 Co-inventor: Wallace M. Curry, Jr
3. 61/258,850 Method for Gathering, Processing, and Analyzing Data to Determine the Risk Associated with Driving Behavior, with Jeffrey Taylor, Fahnert, Michael, W. Bowden, Eric, J.