周學松(美國亞利桑那州立大學副教授)

周學松(美國亞利桑那州立大學副教授)

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周學松,男,博士,美國亞利桑那州立大學副教授,北京交通大學客座教授。

基本介紹

  • 中文名:周學松
  • 職業:教師
  • 畢業院校:北方交通大學、馬里蘭大學
  • 學位/學歷:博士
  • 專業方向:交通運輸規劃與管理
  • 職務:副教授(終身教職)
個人資料,工作經歷,學術任職,主要學術論文,發明專利,

個人資料

周學松博士主要研究領域是交通運輸組織現代化,如大規模交通網路狀態估計、管理、仿真和最佳化模型構建,是少數橫跨道路交通和鐵路運輸管理兩個套用領域的學者。已發表文章50多篇,在學科影響因子前5%的期刊發表論文10多篇,Google Scholar引用達1300 次以上,其H-指數是22。
周學松
周學松博士獨立開發的開源軟體DTALite(Light-weight Dynamic Traffic Assignment Engine),是目前唯一可以處理2000萬輛以上車輛的大規模交通模擬軟體。DTALite從首次發布至今,累計下載量已達到4000餘次。
發明專利“Key2SafeDriving”裝置通過藍牙或射頻電子標誌技術阻止青少年開車時使用手機。該發明能有效的提供交通駕駛安全保障,能為社會產生巨大效益。該發明被包括紐約時報和華爾街日報在內的300多家國際知名媒體報導。
周學松博士2006-2008年在Dash 導航公司擔任交通數據體系總設計師,參與開發了美國第一個商業化基於網際網路的GPS導航系統。Dash 導航公司至今在美國共獲得超過8千萬美元風險投資基金。
周學松博士指導的學生Muhammad Khan、孟令雲和石鐵分別於2008、2010和2014年獲得國際運籌與管理研究協會——鐵路套用分會(INFORMS RAS)學生論文競賽的榮譽獎、第二名和第一名。周學松博士及其指導的學生首次提出了基於數據驅動的車輛跟馳模型,用以預測分心駕駛所帶來的安全隱患。該研究成果於2012年獲得第15屆IEEE ITS大會最佳論文獎。指導的學生團隊於2009年研發了基於手機套用的出行者路徑導航程式,獲得了由美國微軟公司舉辦的“想像杯榮譽獎”(Imagine Cup Windows Mobile Award)。

工作經歷

2013年8月至今,副教授,亞利桑那州立大學,美國;
2007年1月至2013年7月,助理教授/副教授(終身教職),猶他大學,美國;
2005年8月至2006年4月,研究科學家,北卡羅萊納州立大學,美國;
2004年8月至2005年8月,研究助理教授,馬里蘭大學,美國。

學術任職

現任Transportation Research Part B 編委,Transportation Research Part C 副主編,Networks and Spatial Economics 副主編,Urban Transit Rail (英文版) 執行副主編。
在國際運籌與管理學和智慧型交通學術組織任以下職務:國際運籌與管理研究協會INFORMS Rail Application Section(鐵路套用分會)副主席,IEEE智慧型交通系統協會,Technical Committee on Traffic and Travel Management(交通和出行管理技術委員會)聯合主席,Transportation Research Board (TRB) Committee on Transportation Network Modeling Subcommittee(美國交通研究委員會網路模型)分會主席,Network Equilibrium Subcommittee(美國交通研究委員會網路平衡)分會主席。

主要學術論文

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.

發明專利

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.

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