Guidelines for Determination of Optimal Traffic Responsive Plan Selection Control Parameters

Closed-loop traffic control systems can be operated by either Time-of-Day (TOD) mode or Traffic Responsive Plan Selection (TRPS) mode. When properly configured, the TRPS mode has the potential to provide an optimal operation due to its ability to accommodate abnormal traffic conditions such as incidents, special events, and holiday traffic. TRPS mode can also reduce the need for frequent redesign/updates to signal timing plans. To date, there have not been any formal guidelines for selection of robust and optimal TRPS system parameters and thresholds. Consequently, traffic engineers usually revert to the TOD mode of operation for its ease of setup. This report provides a new methodology for robust and optimal selection of TRPS parameters and thresholds. The report presents an innovative framework of TRPS system setup following a comprehensive approach that incorporates a multi-objective evolutionary algorithm and a supervised discriminant analysis. The developed guidelines are presented in simplified tables to facilitate their implementation. Guidelines were verified by using hardware-in-the-loop simulations. Compared to just the worst possible solutions encountered during the optimization, the final solution provided a concurrent savings of 53% in delay and 19% in stops.

[1]  Montasir M Abbas,et al.  METHODOLOGY FOR DETERMINATION OF OPTIMAL TRAFFIC RESPONSIVE PLAN SELECTION CONTROL PARAMETERS , 2004 .

[2]  Rashad M Hanbali,et al.  Methodology for Evaluating Effectiveness of Traffic-Responsive Systems on Intersection Congestion and Traffic Safety , 1997 .

[3]  Ghassan Abu-Lebdeh,et al.  Genetic Algorithms for Traffic Signal Control and Queue Management of Oversaturated Two-Way Arterials , 2000 .

[4]  David E. Goldberg,et al.  Genetic Algorithms in Search Optimization and Machine Learning , 1988 .

[5]  R D Henry,et al.  APPLICATION OF UTCS FIRST GENERATION CONTROL SOFTWARE IN NEW ORLEANS--EXECUTIVE SUMMARY , 1978 .

[6]  Ilsoo Yun,et al.  Optimization of Time-of-Day Breakpoints for Better Traffic Signal Control , 2004 .

[7]  J L Kay,et al.  EVALUATION OF THE FIRST GENERATION UTCS/BPS CONTROL STRATEGY - VOL. 1 - TECHNICAL REPORT , 1975 .

[8]  Nadeem A. Chaudhary,et al.  SOFTWARE FOR TIMING SIGNALIZED ARTERIALS , 2002 .

[9]  Michael D Meyer A toolbox for alleviating traffic congestion and enhancing mobility , 1997 .

[10]  Kalyanmoy Deb,et al.  A fast and elitist multiobjective genetic algorithm: NSGA-II , 2002, IEEE Trans. Evol. Comput..

[11]  J L Kay,et al.  EVALUATION OF THE FIRST GENERATION UTCS/BPS CONTROL STRATEGY, EXECUTIVE SUMMARY , 1975 .

[12]  J L Kay,et al.  LOCATING DETECTORS FOR ADVANCED TRAFFIC CONTROL STRATEGIES. HANDBOOK , 1975 .

[13]  Darcy M. Bullock,et al.  DEVELOPMENT OF CLOSED LOOP SYSTEM EVALUATION PROCEDURES , 2000 .

[14]  Donald L Woods,et al.  DETECTOR LOCATION FOR COMPUTERIZED ARTERIAL STREET SAMPLING DETECTORS , 1995 .

[15]  C. Heckler Applied Discriminant Analysis , 1995 .

[16]  黒田 孝次,et al.  Highway Capacity Manual改訂の動向--テイラ-教授の講演より , 1984 .

[17]  A Wilson TRENT: A TRAFFIC-RESPONSIVE CONTROL METHOD FOR SMALL NETWORKS , 1998 .

[18]  S R Sunkari,et al.  BENEFITS OF THE TEXAS TRAFFIC LIGHT SYNCHRONIZATION (TLS) GRANT PROGRAM II: VOLUME II. APPENDICES D-F. FINAL REPORT , 1995 .

[19]  C J Messer,et al.  PASSER IV-96, VERSION 2.1, USER/REFERENCE MANUAL , 1996 .