详情

Effects of Incorporating Connected Vehicle Technologies into No-Notice Emergency Evacuation during Winter Weather

项目名称：	Effects of Incorporating Connected Vehicle Technologies into No-Notice Emergency Evacuation during Winter Weather
摘要：	In the northern states and other cold-climate regions, winter weather can disrupt reliability and mobility of the roadway system and further complicate the emergency evacuation operations. Data modeling and analytical tools are much needed to optimize passenger and freight movements under such scenarios, as the roadway network is exposed to the impacts of winter weather as well as the different levels of market penetration by connected/automated vehicles (CAVs). The effect of winter weather could be particularly problematic during earthquake evacuation. Recent years have seen increased introduction of CAV technologies on U.S. roads, which play a disruptive role in increasing the roadway capacity, altering the conventional composition and characteristics of traffic flow, and ushering in new models of traffic operations and mobility management. When implemented appropriately, CAV technologies may significantly improve traffic flow and reduce congestion and time delays in the roadway system, which is highly desirable for effective and efficient evacuation transportation. The mobility effects of such enabling technologies, however, remain underexplored and need to be investigated and quantified. It is the intent of this study to lay the foundational work for modeling the microscopic and macroscopic effects of incorporating connected vehicle (CV) technologies into no-notice emergency (e.g., earthquake) evacuation during winter weather typically seen in Pacific Northwest, with the first case study conducted on Washington highways. In Phase I, we will identify an appropriate Washington State Department of Transportation (WSDOT) highway corridor and metropolitan area and collect the relevant data before simulating the non-evacuation and evacuation traffic under a few selected winter weather scenarios and under different levels of CV market penetration. The main methodology will then entail the development of an integrated scenario-simulation planning framework.
状态：	Active
资金：	90011
资助组织：	Office of the Assistant Secretary for Research and Technology
管理组织：	University of North Carolina, Charlotte
项目负责人：	Fan, Wei (David)
执行机构：	Washington State University, Pullman
主要研究人员：	Shi, Xianming
开始时间：	20181001
预计完成日期：	20200930
实际结束时间：	0