Abstract
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.
Research Investigators (PI*)
Farinoush Sharifi*, Texas A&M Transportation Institute
Project Information
Start Date: 09/01/2019
End Date: 08/31/2020
Status: Complete
Grant Number: 69A3551747128
Source Organization: CARTEEH UTC
Project Number: TTI-03-23
TRID URL
UTC Project Information Form
CARTEEH Focus Area(s)
Sponsor
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC 20590 United States
Performing Organization
Texas A&M Transportation Institute
1111 RELLIS Parkway
Bryan, Texas 77807
