导师风采
王建
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个人信息

Personal Information

  • 研究员
  • 导师类别:博士生导师
  • 性别: 男
  • 学历:博士研究生
  • 学位:博士

联系方式

Contact Information

  • 所属院系:交通学院
  • 所属专业: 交通运输工程
  • 邮箱 : jianw@seu.edu.cn
  • 工作电话 : -

个人简介

Personal Profile

王建,博士,研究员,博士生导师。毕业于美国普渡大学土木学院交通运输专业,获博士学位。主要研究领域包括交通网络规划与管理、智能网联交通系统建模、自动驾驶控制等。主持国家重点研发计划课题、国家自然科学基金、省自然科学基金等各类科研项目9项。在交通领域国内外知名期刊和会议上发表学术论文50余篇,其中SCI/SSCI论文26篇。以第一或通讯作者发表SCI/SSCI论文18篇,包括交通领域顶级期刊Transportation Research Part B/C 8篇。获2020年度海外华人交通协会(COTA)最佳博士学位论文奖、十七届COTA国际交通年会杰出审稿人奖、2018年度普渡大学工程院研究生杰出科研奖等奖项。受邀担任世界交通运输大会(WTC)智慧与自动交通系统分委会委员,TRB交通流理论与特征委员会网联自动驾驶交通流分委会委员,国际期刊《Frontiers in Future Transportation》和《PLOS ONE》编委、以及Transportation Research Part A/B/C/E等20 余个国内外期刊审稿人。


  • 研究方向Research Directions
交通规划与管理,智能网联交通系统建模,自动驾驶控制,交通网络建模与优化
科研项目

1. 弹性交通系统多态演化机理与迁移特征,国家重点研发计划课题,2021-2024,110万元,在研,课题负责人

2. 面向智能网联车与人驾车混合交通流的拥堵收费模型研究,国家自然科学基金青年科学基金,2021-2023,24万元,在研,项目负责人

3. 综合运输各方式交通阻抗函数模型及参数标定研究,交通运输部规划研究院综合交通规划数字化实验室开放课题,2021-2023,25万元在研,项目负责人

4. 面向队列行驶的智能网联车辆路径规划与驾驶协同控制研究,浙江省自然科学基金探索项目,2020-2022,9万元在研,项目负责人

5. 智能网联车辆队列协同控制策略与方法,东南大学人才引进项目,2021-2022,在研,30万元,项目负责人


研究成果

1.    Wang,C., Peeta, S.*, Wang, J.*. (2021).Incentive-based decentralized routing for connected and autonomous vehicles using information propagation, TransportationResearch Part B: Methodological, 149, 138-161.

2.    Wang, J., Lu, L.*, Peeta, S., He, Z. (2021). Optimal tolldesign problems for mixed traffic flow of human-driven vehicles and connectedand autonomous vehicles. Transportation Research Part C: Emerging Technologies.125, 102952.

3.    Lu,L., Wang, J.*, Wu, Y., Chen, X., Chan, C.Y., (2021). Real-timeprediction model for vehicle individual travel time on an undersaturatedsignalized arterial. IEEE Intelligent Transportation Systems Magazine.Accepted.

4.    Wang,W., Wang, J.*, Zhao, D., Jin, K. (2021). A revised logit model forstochastic traffic assignment with relatively stable dispersion parameter. IEEEIntelligent Transportation Systems Magazine. Accepted.

5.     Lu, L., He, Z., Wang, J.*, Chen, J., Wang, W. (2021). Estimation oflane-level travel time distributions under a connected environment. Journal ofIntelligent Transportation Systems. 25(5), 501-512.

6.     Guo,Y.*, Wang, J., Peeta, S.,Anastasopoulos, P.C. (2020). Personal andsocietal impacts of motorcycle ban policy on motorcyclists’ home-to-workmorning commute in China. Travel Behaviour and Society. 19, 137-150.

7.     Wang, J.,Peeta, S.*, Lu, L., Li, T. (2019). Multiclass information flow propagationcontrol under vehicle-to-vehicle communication environments, Transportation ResearchPart B: Methodological. 129, 96–121.

8.     Wang, J.,Gong, S., Peeta, S.*, Lu, L. (2019). A real-time deployable model predictivecontrol-based cooperative platooning approach for connected and autonomousvehicles, Transportation Research Part B: Methodological, 128, 271-301.

9.     Wang, J.,Peeta, S.*, He, S. (2019). Multiclasstraffic assignment model for mixed traffic flow of human-driven vehicles andconnected and autonomous vehicles, Transportation Research Part B:Methodological, 126, 139–168.

10.  Wang, J.,Kim, Y., He, X., Peeta, S*. (2018). Analytical model forinformation flow propagation wave under an information relay control strategyin a congested vehicle-to-vehicle communication environment, TransportationResearch Part C: Emerging Technologies. 94:1-18.

11.  Wang, J.,Peeta, S*., He, X., Zhao J.(2018). Combined multinomial logit modal split and paired combinational logittraffic assignment model. Transportmetrica A: Transport Science, 14 (9), 737-760.

12.  Wang, J.,Du, M., Lu, L.*, He, X. (2018). Maximizing network throughput under stochasticuser equilibrium with elastic demand. Network Spatial and Economics, 18(1):155-143.

13.  Wang, J.*,Deng, W. (2018). Optimizing capacity of signalized road network with reversiblelanes, Transport, 33(1), 1-11.

14.  Zhao, J.*, Wang, J., Xing, Z., Luan, X., Jiang, Y. (2018). Weather and cycling: Mining bigdata to have an in-depth understanding of the association of weathervariability with cycling on an off-road trail and an on-road bikelane. Transportation Research Part A: Policy and Practice, 111:119-135.

15.  Guo,Y., Wang, J., Peeta, S.*,Anastasopoulos, P.C. (2018). Impacts of internal migration, householdregistration system, and family planning policy on travel mode choice in China, Travel Behaviour and Society 13,128-143

16.  Lu,L., Wang, J., He, Z.*, Chan, C.(2018).Real-Time Estimation of Freeway Travel Time with Sparse Detector Data, IETIntelligent Transport Systems, 12(1), 2-11.

17.  Wang, J.,He, X., Peeta, S*. (2016). Sensitivity analysis basedapproximation models for day-to-day link flow evolution process. TransportationResearch Part B: Methodological, 92, 35-53.

18.  Lu,L.*, Chan, C.Y., Wang, J., Wang, W.(2016). A study of pedestrian group behaviors in crowd evacuation based on anextended floor field cellular automaton model. Transportation ResearchPart C: Emerging Technologies, 81, 317-329.

19.  Lu,L.*, Ren, G., Wang, W., Chan, C.Y., Wang,J., (2016). A cellular automaton simulation model for pedestrian andvehicle interaction behaviors at unsignalized mid-blockcrosswalks. Accident Analysis and Prevention, 95, 425-437.

20.  Wang, J.*,Deng, W., Zhao, J. (2015). Road network reserve capacity with stochastic userequilibrium. Transport, 30(1), 103-116.

21.  Zhao,J.*, Wang, J., Deng, W. (2015).Exploring bikesharing travel time and trip chain by gender and day of theweek. Transportation Research Part C: Emerging Technologies, 58, 251-264.

22.  Wang, J.*,Deng, W., Guo, Y. (2014). New Bayesian combination method for short-termtraffic flow forecasting. Transportation Research Part C: Emerging Technologies,43, 79-94.


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