详情

Development of an Emission-based Selection Algorithm to Optimize Variable Message Signs Location

项目名称：	Development of an Emission-based Selection Algorithm to Optimize Variable Message Signs Location
摘要：	Variable message sign (VMS) is a key component of intelligent transportation system (ITS) technologies, and more specifically, a real-time traveler information tool. Estimated travel time on freeways, corridor congestions, construction and maintenance schedules, special events instructions, and incident notifications can be conveyed through VMS. Previously, it was indicated that the highest performance gain and emission saving occur when the VMS locations are wisely selected. Therefore, this project will introduce and develop a transferable bi-level emission-based algorithm to select the optimal VMS locations within a network, which assures the environmental benefits in large-scale as well as saving money and time on finding the optimal locations. The integration of non-recurring congestion data into a simulation-based emission optimization algorithm and life-cycle cost analysis for the selection of optimal VMS locations are the unique features of this platform. The developed platform will finally be applied and tested in El Paso, Texas, and can benefit transportation agencies by facilitating the selection of optimal VMS locations, improving regional air quality, and reducing operational costs.
状态：	Active
资金：	56000
资助组织：	Office of the Assistant Secretary for Research and Technology
执行机构：	Texas A&M Transportation Institute, College Station
开始时间：	20190901
预计完成日期：	20200831
主题领域：	Data and Information Technology；Environment；Highways；Operations and Traffic Management；Safety and Human Factors