Development of dynamic network traffic simulator for mixed traffic flow under connected and autonomous vehicles technologies- Phase 1 and 2
| 项目名称： | Development of dynamic network traffic simulator for mixed traffic flow under connected and autonomous vehicles technologies- Phase 1 and 2 |
| 摘要： | Connected and autonomous vehicles (CAVs) will generate a revolution in the transportation system, with great potential to improve traffic safety, efficiency, and environmental sustainability. However, the transition to CAVs will occur over time and, during it, CAVs will coexist with human-driven vehicles (HDVs), connected vehicles (CVs) and autonomous vehicles (AVs) in the traffic flow. While several studies have examined the potential impact of AVs, CVs and CAVs on the driving environment, there is a key need for modeling approaches that can characterize network level evolution of traffic flow dynamics and their impacts on stability under mixed traffic streams. There is the need for a comprehensive traffic flow modeling framework that incorporates different levels of connectivity and automation as well as different market penetration rates.This study will develop a unified car-following modeling framework that models mixed traffic streams under different market penetration rates of CAVs. It will also perform stability analyses to explore implications for safety and mobility. |
| 状态： | Active |
| 资金： | Total: $109,075 ($43,859 Purdue) ($65,216 CCAT) |
| 资助组织： | Office of the Assistant Secretary for Research and Technology |
| 管理组织： | Center for Connected and Automated Transportation |
| 执行机构： | Purdue University, Lyles School of Civil Engineering |
| 主要研究人员： | Peeta, Srinivas |
| 开始时间： | 20180101 |
| 预计完成日期： | 20201231 |
| 实际结束时间： | 0 |
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