详情

Knowledge-Based Machine Learning for Freeway COVID-19 Traffic Impact Analysis and Traffic Incident Management

项目名称：	Knowledge-Based Machine Learning for Freeway COVID-19 Traffic Impact Analysis and Traffic Incident Management
摘要：	The U.S. Department of Transportation needs to quick response and adapt to the coronavirus (COVID-19) to ensure continuation of critical infrastructure support and relief for the American people. The COVID-19 has placed significant impacts to the traffic across the U.S. It is clear to see that traffic pattern, traffic demands, and duration alter with COVID status. Therefore, there is a critical research needs of studying the impact of COVID on traffic patterns and analyzing the relationship among traffic demand patterns, daily confirmed cases/death, state policies, public perception, etc. An effective model, based on the principle of newly invented knowledge-based machine learning, will be developed to predict the traffic impact of traffic incidents and advance traffic incident management (TIM) considering long-term impact of COVID on traffic.
状态：	Active
资金：	337686
资助组织：	Office of the Assistant Secretary for Research and Technology
项目负责人：	Tolliver, Denver
执行机构：	Upper Great Plains Transportation Institute<==>Dept. of Civil and Environmental Engineering
开始时间：	20210624
预计完成日期：	20220731
主题领域：	Highways；Operations and Traffic Management；Planning and Forecasting；Security and Emergencies