Using microsimulation feedback for trip adaptation for realistic traffic in Dallas

Abstract

This paper presents a day-to-day re-routing relaxation approach for traffic simulations. Starting from an initial planset for the routes, the route-based microsimulation is executed. The result of the microsimulation is fed into a re-router, which re-routes a certain percentage of all trips. This approach makes the traffic patterns in the microsimulation much more reasonable. Further, it is shown that the method described in this paper can lead to strong oscillations in the solutions.

Accepted by International Journal of Modern Physics C. Complete postscript version including figures in http://www-transims.tsasa.lanl.gov/research_team/papers/

References in corpus (1)

• Experiences with a simplified microsimulation for the Dallas/Fort Worth area

Cited by in corpus (9)

• Traffic and Related Self-Driven Many-Particle Systems
• Traffic flow models with 'slow-to-start' rules
• Statistical Physics of Traffic Flow
• A Simplified Cellular Automaton Model for City Traffic
• Experiences with a simplified microsimulation for the Dallas/Fort Worth area
• Analytical Results For The Steady State Of Traffic Flow Models With Stochastic Delay
• From Social Simulation to Integrative System Design
• Metastable Congested States in Multisegment Traffic Cellular Automaton
• Initiating a Mexican wave: An instantaneous collective decision with both short and long range interactions