CAREER: Dynamic State Transitions in Vehicular Traffic and the Effects of Driver Behavior
CAREER: Dynamic State Transitions in Vehicular Traffic and the Effects of Driver Behavior
批准号:
1150137
负责人:
Soyoung Ahn
金额:
$40.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-03-01 至 2014-04-30
中文摘要
点击翻译按钮获取中文摘要
英文摘要
The objective of this Faculty Early Career Development (CAREER) program award is to investigate the effects of driver behaviors, such as car-following and lane-changing, on traffic state transitions (i.e., changes in traffic conditions such as speed). This research focuses on transitions near freeway choke points (i.e., bottlenecks), merges, and ends of queues (where vehicles encounter congestion). Transitions around these regions can lead to disorderly traffic conditions, such as stop-and-go driving, due to sharp changes in speed and frequent lane-changing maneuvers. This research consists of four primary tasks of (i) collecting new individual vehicle data, (ii) analyzing general features (e.g. changes in traffic flow, density, and speed) of traffic transitions, (iii) analyzing driver behaviors and linking them to the general features, and (iv) extending/developing models of driver behaviors capable of reproducing the observed transition phenomena.If successful, this research will uncover the physical mechanisms of transitions; i.e., how individual driver behaviors (e.g., car-following, lane-changing) govern changes in flow, density, and speed in time and space. Understanding these mechanisms has important implications for mobility and safety. Transitions around freeway bottlenecks can determine bottleneck throughput and hence the delays on freeway networks. Further, vehicles in transition regions are more prone to crashes due to sudden changes in speed and frequent lane-changing maneuvers. Therefore, the results from this research will potentially advance traffic control strategies to manage congestion more effectively and improve safety. Educational and outreach activities involve the development of a project website, a smart-phone application to collect probe data, web-based modules for hands-on learning of data analysis methods and modeling. Using these means, this project will engage undergraduate and graduate students, STEM (science, technology, engineering, and mathematics) high school teachers to reach out to high-school students in the long term, researchers in other disciplines, and industry stakeholders.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Understanding and Harnessing Traffic Fundamental Diagram in the Era of Connected Automated Vehicles
-
批准号:2129765
-
项目类别:Standard Grant
-
资助金额:$42.31万
-
财政年份:2022
-
负责人:Soyoung Ahn
-
依托单位:
CPS: TTP Option: Medium: Identifying, Characterizing, and Shaping Multi-Scale Cyber-Human Interactions in Mixed Autonomous/Conventional Vehicle Traffic
-
批准号:1739869
-
项目类别:Continuing Grant
-
资助金额:$120.0万
-
财政年份:2019
-
负责人:Soyoung Ahn
-
依托单位:
Collaborative Research: Mixed Traffic Dynamics Under Disturbances: Impact of Multi-Class Connected and Automated Vehicles
-
批准号:1932932
-
项目类别:Standard Grant
-
资助金额:$20.34万
-
财政年份:2019
-
负责人:Soyoung Ahn
-
依托单位:
Vehicular Traffic Modeling and Control in Mixed Manual and Automated Environments
-
批准号:1536599
-
项目类别:Standard Grant
-
资助金额:$39.39万
-
财政年份:2015
-
负责人:Soyoung Ahn
-
依托单位:
CAREER: Dynamic State Transitions in Vehicular Traffic and the Effects of Driver Behavior
-
批准号:1439795
-
项目类别:Standard Grant
-
资助金额:$30.66万
-
财政年份:2013
-
负责人:Soyoung Ahn
-
依托单位:
Collaborative Research: Analysis and Modeling of Traffic Instabilities in Congested Traffic
-
批准号:0856699
-
项目类别:Standard Grant
-
资助金额:$14.55万
-
财政年份:2009
-
负责人:Soyoung Ahn
-
依托单位:
国内基金
海外基金
Dynamic Credit Rating with Feedback Effects
-
批准号:--
-
项目类别:外国学者研究基金项目
-
资助金额:--
-
批准年份:2024
-
负责人:Christian Martin Hilpert
-
依托单位: