基本信息
王建，博士，研究员，博士生导师，交通学院交通工程系教师，现代交通技术科研团队成员。博士毕业于美国普渡大学土木学院交通运输专业。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、国家自然科学基金等各类科研项目10余项，获小米青年学者、江苏省双创博士等人才项目资助。在交通领域国内外知名期刊和会议上发表学术论文60余篇，其中sci/ssci论文近40篇。以第一或通讯作者发表sci/ssci论文23篇，包括交通领域顶级期刊transportation research part b/c 11篇。获智能交通协会技术发明一等奖、2020年度海外华人交通协会（cota）最佳博士学位论文奖、美国普渡大学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，以及transportation research part a/b/c/e等30 余个国内外期刊审稿人。
欢迎对科研有深入兴趣，具有交通、数学、计算机、控制、通信、土建等相关专业背景的同学报考博士、硕士研究生。
88038威尼斯的联系方式
地址：南京市江宁区东南大学路2号东南大学交通学院1309室
邮箱：
研究方向
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
工作经历
2021.3-至今，东南大学交通学院，研究员
2019.03-2020.12，宁波大学海运学院，副教授
主要科研项目
国家重点研发计划课题，弹性交通系统多态演化机理与迁移特征，2021-2024，课题负责人
国家自然科学基金青年科学基金，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. 2021-2023，项目负责人
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，综合运输各方式交通阻抗函数模型及参数标定研究，2021-2023，项目负责人
中央高校基本科研业务费专项资金资助项目，2021-2022，项目负责人
主要期刊论文
zhou, a., peeta, s*., wang, j*. (2023). cooperative control of a platoon of connected autonomous vehicles and unconnected human-driven vehicles. computer-aided civil and infrastructure engineering. accepted.
wang, j*., he, x., peeta, s*., wang, w. (2022). globally convergent line search algorithm with euler-based step size-determination method for continuous network design problem. transportation research part b: methodological, 163, 119-144.
wang, j., lu, l.*, peeta, s. (2022). real-time deployable and robust cooperative control strategy for a platoon of connected and autonomous vehicles by factoring uncertain vehicle dynamics. transportation research part b: methodological, 163, 88-118.
wang, j., wang, w.*, ren, g., yang, m. (2022). worst-case traffic assignment model for mixed traffic flow of human-driven vehicles and connected and autonomous vehicles by factoring in the uncertain link capacity. transportation research part c: emerging technologies, 140, 103703.
zhou, a., wang, j.*, peeta, s., (2022). robust control strategy for platoon of connected and autonomous vehicles considering falsified information injected through communication links. journal of intelligent transportation systems, 1-17.
lu, l., wang, j*., wu, y., chen, x., chan, c.y. (2022). real-time prediction model for vehicle individual travel time on an undersaturated signalized arterial. ieee intelligent transportation systems magazine. 14(5), 72-87.
he, x*., wang, j, liu, h., peeta, s., (2022). day-to-day signal retiming scheme for single-destination traffic networks based on a flow splitting approach, network spatial and economics, published online.
wang, w., wang, j*., zhao, d., jin, k. (2022). a revised logit model for stochastic traffic assignment with relatively stable dispersion parameter. ieee intelligent transportation systems magazine. 14(2), 92-104.
zhou, a., peeta, s*., yang, m., wang, j., (2022). cooperative signal-free intersection control using virtual platooning and traffic flow regulation. transportation research part c: emerging technologies, 138, 103610.
wang, c., peeta, s.*, wang, j.*. (2021). incentive-based decentralized routing for connected and autonomous vehicles using information propagation, transportation research part b: methodological, 149, 138-161.
wang, j., lu, l.*, peeta, s., he, z. (2021). optimal toll design problems for mixed traffic flow of human-driven vehicles and connected and autonomous vehicles. transportation research part c: emerging technologies. 125, 102952.
lu, l., he, z., wang, j*.,chen, j.,wang, w. (2021). estimation of lane-level travel time distributions under a connected environment. journal of intelligent transportation systems. 25(5), 501-512.
guo, y.*, wang, j., peeta, s., anastasopoulos, p.c. (2020). personal and societal impacts of motorcycle ban policy on motorcyclists’ home-to-work morning commute in china. travel behaviour and society. 19, 137-150.
wang, j., peeta, s*., lu, l., li, t. (2019). multiclass information flow propagation control under vehicle-to-vehicle communication environments, transportation research part b: methodological. 129, 96–121.
wang, j., gong, s., peeta, s*., lu, l. (2019).a real-time deployable model predictive control-based cooperative platooning approach for connected and autonomous vehicles, transportation research part b: methodological, 128, 271-301.
wang, j., peeta, s*., he, s. (2019).multiclass traffic assignment model for mixed traffic flow of human-driven vehicles and connected and autonomous vehicles, transportation research part b: methodological, 126, 139–168.
wang, j., kim, y.,he, x., peeta, s*. (2018). analytical model for information flow propagation wave under an information relay control strategy in a congested vehicle-to-vehicle communication environment, transportation research part c: emerging technologies. 94:1-18.
wang, j., peeta, s*.,he, x., zhao j. (2018). combined multinomial logit modal split and paired combinational logit traffic assignment model. transportmetrica a: transport science, 14 (9), 737-760.
wang, j., du, m., lu, l*., he, x. (2018). maximizing network throughput under stochastic user equilibrium with elastic demand. network spatial and economics, 18(1):155-143.
zhao, j*., wang, j., xing, z., luan, x., jiang, y. (2018). weather and cycling: mining big data to have an in-depth understanding of the association of weather variability with cycling on an off-road trail and an on-road bike lane. transportation research part a: policy and practice, 111:119-135.
guo, y., wang, j., peeta, s.*, anastasopoulos, p.c. (2018). impacts of internal migration, household registration system, and family planning policy on travel mode choice in china,travel behaviour and society 13, 128-143
lu, l., wang, j., he, z*., chan, c. (2018). real-time estimation of freeway travel time with sparse detector data, iet intelligent transport systems, 12(1), 2-11.
wang, j., he, x., peeta, s*. (2016). sensitivity analysis based approximation models for day-to-day link flow evolution process. transportation research part b: methodological, 92, 35-53.
lu, l*., chan, c.y., wang, j., wang, w. (2016). a study of pedestrian group behaviors in crowd evacuation based on an extended floor field cellular automaton model. transportation research part c: emerging technologies, 81, 317-329.
zhao, j.*, wang, j., deng, w. (2015). exploring bikesharing travel time and trip chain by gender and day of the week. transportation research part c: emerging technologies, 58, 251-264.
wang, j.*, deng, w., guo, y. (2014). new bayesian combination method for short-term traffic flow forecasting. transportation research part c: emerging technologies, 43, 79-94.
奖励及荣誉
小米青年学者
江苏省双创博士
智能交通协会技术发明一等奖（4/6）
海外华人交通协会（cota）最佳博士学位论文奖
美国普渡大学工程院研究生杰出科研奖
