代壮,北京航空航天大学交通信息工程及控制博士,美国犹他大学土木与环境工程联合培养博士,西南交通大学管理科学与工程硕士,公共管理学士,现为西南交通大学交通运输与物流学院助理教授。主要研究方向为城市公交系统的数据分析、管理控制和调度优化。发表SCI论文6篇(交通顶级期刊Transportation Research Part B和Transportation Research Part C各1篇),表中文核心期刊3篇,申请国家发明专利8项。获得2021年北京市科学技术...details>
Date of Birth:1989-04-20
Date of Employment:2020-07-19
Education Level:PhD graduate
Degree:Doctor of engineering
Business Address:西南交通大学犀浦校区综合楼
Gender:Male
Status:在岗
Alma Mater:北京航空航天大学
School/Department:交通运输与物流学院
Discipline:
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Research Focus
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Social Affiliations
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Education Experience
2016/9-2020/6 北京航空航天大学 |  交通信息工程及控制 |  Doctoral candidate |  PhD graduate 
2018/9-2019/8 University of Utah |  土木与环境工程学院 |  联合培养 |  联合培养 
2013/9-2016/6 西南交通大学 |  管理科学与工程 |  A master's degree |  Postgraduate student 
2009/9-2013/6 西南交通大学 |  公共管理 |  undergraduates |  Bachelor degree 
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Work Experience
2020/7-Now 交通运输与物流学院 | 西南交通大学  | 全职 
- 1.A predictive headway-based bus-holding strategy with dynamic control point selection: A cooperative game theory approach.Transportation Research Part B: Methodological.2019,125:29-51
- 2.Joint optimization of scheduling and capacity for mixed traffic with autonomous and human-driven buses: A dynamic programming approach.Transportation Research Part C: Emerging Technologies.2020,114:598-619
- 3.Bus travel time modelling using GPS probe and smart card data: a probabilistic approach considering link travel time and station dwell time.Journal of Intelligent Transportation Systems.2018,23:175-190
- 4.Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction.Sensors.2017,2017(17):818-834
- 5.基于合作博弈的公交滞站点优化模型.交通运输系统工程与信息.2019,19(5)
- 6.半自动驾驶公交车辆编组与调度优化.北京航空航天大学.2020,46(12):2284- 2292