REAL-TIME TRAFFIC DIVERSION MODEL: CONCEPTUAL APPROACH

The development of advanced traffic-management systems as a major component of intelligent vehicle/highway systems is targeted to address the complex problem of urban traffic congestion. The strategy includes real-time diversion of traffic during congestion-causing events, by making efficient use of the available capacities in the highway network. A conceptual framework for executing real-time diversions is presented in this paper. The strategy envisages on-line control and management of traffic through control centers and their surveillance equipment. The approach relies on real-time traffic data to detect incidents and develop rerouting plans to benefit motorists. For this purpose, a model has been developed to estimate traveler destinations from traffic data. The dynamic nature of the problem is captured through a traffic assignment/simulation model, which can predict traffic conditions that would prevail in the alternate routes. A knowledge-based expert system is also proposed to estimate traffic delays, and to evaluate and choose alternate routes. This research is being applied to the northern Virginia urban area as a case study.

[1]  Byung-Wook Wie,et al.  DYNAMIC ANALYSIS OF USER-OPTIMIZED NETWORK FLOWS WITH ELASTIC TRAVEL DEMAND , 1991 .

[2]  Malachy Carey,et al.  Optimal Time-Varying Flows on Congested Networks , 1987, Oper. Res..

[3]  Gary A. Davis,et al.  Application of Prediction-Error Minimization and Maximum Likelihood to Estimate Intersection O-D Matrices from Traffic Counts , 1989, Transp. Sci..

[4]  Hani S. Mahmassani,et al.  MACROPARTICLE TRAFFIC SIMULATION MODEL TO INVESTIGATE PEAK-PERIOD COMMUTER DECISION DYNAMICS. , 1985 .

[5]  D Van Vliet,et al.  SATURN - A MODERN ASSIGNMENT MODEL , 1982 .

[6]  M. Cremer,et al.  A new class of dynamic methods for the identification of origin-destination flows , 1987 .

[7]  Raymond E. Levitt.  Knowledge-based systems in engineering , 1991 .

[8]  J M Morales,et al.  ANALYTICAL PROCEDURES FOR ESTIMATING FREEWAY TRAFFIC CONGESTION , 1986 .

[9]  Rudi Hamerslag.  DYNAMIC ASSIGNMENT IN THREE-DIMENSIONAL TIME SPACE , 1989 .

[10]  H J Payne,et al.  DEVELOPMENT AND TESTING OF INCIDENT DETECTION ALGORITHMS, VOLUME 2: RESEARCH METHODOLOGY AND DETAILED RESULTS , 1976 .

[11]  J. N. Leboeuf,et al.  A magnetohydrodynamic particle code for fluid simulation of plasmas , 1979 .

[12]  Luis G. Willumsen,et al.  ESTIMATION OF AN O-D MATRIX FROM TRAFFIC COUNTS - A REVIEW , 1978 .

[13]  Chris Hendrickson,et al.  CHARACTERISTICS OF TRAVEL TIME AND DYNAMIC USER EQUILIBRIUM FOR TRAVEL-TO-WORK , 1983 .

[14]  Terry L. Friesz,et al.  Dynamic Network Traffic Assignment Considered as a Continuous Time Optimal Control Problem , 1989, Oper. Res..

[15]  Michael G.H. Bell,et al.  The real time estimation of origin-destination flows in the presence of platoon dispersion , 1991 .

[16]  Henk J van Zuylen,et al.  The most likely trip matrix estimated from traffic counts , 1980 .

[17]  J A Lindley.  URBAN FREEWAY CONGESTION PROBLEMS AND SOLUTIONS: AN UPDATE , 1989 .

[18]  G. Davis,et al.  Recursive estimation of origin-destination matrices from input/output counts , 1987 .

[19]  Gwilym M. Jenkins,et al.  Time series analysis, forecasting and control , 1972 .

[20]  Y J Gur,et al.  ESTIMATION OF AN ORIGIN-DESTINATION TRIP TABLE BASED ON OBSERVED LINK VOLUMES AND TURNING MOVEMENTS VOLUMES 3-PROGRAM MANUAL , 1980 .

[21]  P C Baguley,et al.  CONTRAM: A TRAFFIC ASSIGNMENT MODEL FOR PREDICTING FLOWS AND QUEUES DURING PEAK PERIODS , 1978 .

[22]  Deepak K. Merchant,et al.  A Model and an Algorithm for the Dynamic Traffic Assignment Problems , 1978 .

[23]  R. Sivanandan,et al.  A linear programming approach for synthesizing origin-destination trip tables from link traffic volumes , 1994 .