Abstract
The objective of this paper is to investigate genetic algorithms (GA) on traffic signal timing at a congested isolated intersection. The objective function for GA modeling was established on the strategy of minimizing average delay and GA was applied to search for the optimal signal timing. Then microsimulation is used to compare the optimized timings produced by the GA with those obtained for the same intersection using Synchro. Results indicated that applying GA results in lower values of average delay and average number of stops in congested condition than applying Synchro.
Publisher
Trans Tech Publications, Ltd.
Reference8 articles.
1. Schrank, D., Lomax, T. 2009 Urban Mobility Report. Texas Transportation Institute of the Texas A & M University System. (2009).
2. Mark D. Foy, Rahim F. Benekohal, and David E. Goldberg. Signal Timing Determination Using Genetic Algorithms. In transportation Research Record 1365, TRB, National Research Council, Washington D.C., pp.108-115. (1992).
3. Jinwoo Lee, Baher Abdulhai, Amer Shalaby, and Eui-hwan Chung. Real-Time Optimization for Adaptive Traffic Signal Control Using Genetic Algorithms. Journal of Intelligent Transportation System, pp.111-122. (2005).
4. Byungkyu Park, Carroll J. Messer, and Thomas Urbanik II. Traffic Signal Optimization under Congested Conditons Genetic Algorithms Approach. In transportation Research Record 1683, TRB, National Research Council, Washington D.C., pp.134-142. (1999).
5. Byungkyu Brian, Park, Carroll J. Messer, and Thommas Urbanik II. Enhanced Genetic Algorithms for Signal-Timing Optimization of Congested Intersections. In transportation Research Record 1727, TRB, National Research Council, Washington D.C., pp.32-40. (2000).
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