详情

当前位置：首页> 全球交通科研项目数据库 >详情

Analysis and Prediction of Spatiotemporal Impact of Traffic Incidents for Better Mobility and Safety in Transportation Systems

项目名称：	Analysis and Prediction of Spatiotemporal Impact of Traffic Incidents for Better Mobility and Safety in Transportation Systems
摘要：	In this proposal, the authors propose to study a machine learning approach to predict the spatiotemporal impact of traffic accidents on the upstream traffic and the surrounding region. The main objective of the authors' research is to forecast how and when the travel-time delays - caused by road accidents - will occur on the transportation network in both time and space. Towards this end, the authors will conduct fundamental research in mining and correlation of traffic incidents and sensor datasets that they have been collecting and archiving in the last past three years. Furthermore, to demonstrate the benefits of their research, the authors will develop a novel proof-of-concept mobile application and extend their existing web based application to enable monitoring and querying of the incident impacts on real-time and historical datasets. This research will exploit the real-world Los Angeles traffic sensor data and California Highway Patrol (CHP) accident logs collected from Regional Integration of Intelligent Transportation Systems (RIITS) under Archived Traffic Data Management System (ADMS) project. The mobile application developed as a result of this proposal will be released for public use.
状态：	Completed
资金：	99,999
资助组织：	California Department of Transportation
项目负责人：	Valentine Deguzman, Victoria
执行机构：	National Center for Metropolitan Transportation Research
主要研究人员：	Shahabi, Cyrus
开始时间：	20150101
预计完成日期：	0
实际结束时间：	20151231