Feasibility Assessment for Implementing Adaptive Traffic Signal Control

Author:

Lidbe Abhay D.1,Tedla Elsa G.2,Hainen Alexander M.3,Jones Steven L.4

Affiliation:

1. Postdoctoral Researcher, Alabama Transportation Institute, Univ. of Alabama, P.O. Box 870288, Tuscaloosa, AL 35487-0205 (corresponding author).

2. Research Engineer, Dept. of Civil Construction and Environmental Engineering, Univ. of Alabama, P.O. Box 870288, Tuscaloosa, AL 35487-0205.

3. Assistant Professor, Dept. of Civil Construction and Environmental Engineering, Univ. of Alabama, P.O. Box 870288, Tuscaloosa, AL 35487-0205.

4. Professor, Dept. of Civil Construction and Environmental Engineering, Univ. of Alabama, P.O. Box 870288, Tuscaloosa, AL 35487-0205.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Transportation,Civil and Structural Engineering

Reference33 articles.

1. Abdel-Rahim A. and W. C. Taylor. 2000. “Potential travel time and delay benefits of using adaptive signals.” In Proc. Transportation Research Board 79th Annual Meeting. Washington DC: Transportation Research Board.

2. Beibei J. Y. H. J. van Zuylen and L. Shoufeng. 2016. “Determining the macroscopic fundamental diagram on the basis of mixed and incomplete traffic data.” In Proc. Transportation Research Board 95th Annual Meeting. Washington DC: Transportation Research Board.

3. On development of arterial fundamental diagrams based on surrogate density measures from adaptive traffic control systems utilizing stop-line detection;Dakic I.;Transp. Res. Procedia,2017

4. Reliability, flexibility, and environmental impact of alternative objective functions for arterial offset optimization;Day C. M.;Transp. Res. Rec.,2012

5. Performance measures for adaptive signal control: Case study of system-in-the-loop simulation;Day C. M.;Transp. Res. Rec.,2012

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