Abstract
We explore the route-choice problem in two-route traffic systems when real-time particle densities are provided. Four scenarios are considered, which have three types of informed particle and two types of uninformed particle. They adopt different route-choice rules. The system is mimicked by a lattice model and each vehicle is supposed as a hard-core “particle”. With a macroscopic approach, the stability conditions of systems are theoretically analyzed, which separate long, intermediate and short travel time phases. The Monte Carlo simulation results certify theoretical predictions. The relative benefits of route-choice rules are compared by average travel times of different types of particles, which depend on system’s phases. These results are useful for traffic flow optimization on traffic networks.
Published Version
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