Monte Carlo Simulation Model of Intervehicle Communication

Abstract

Decentralized traffic information systems based on intervehicle communication have drawn increasing attention in recent years. On the assumption that intervehicle communication is instantaneous relative to vehicle movement, multihop connectivity between two equipped vehicles subject to arbitrary distribution patterns of vehicles, market penetration rates, and transmission ranges is studied. A modeling conceptual framework and definitions are discussed, and a Monte Carlo simulation model of multihop connectivity of instantaneous intervehicle communication systems is presented. With three different, well-chosen random number generators, it is demonstrated that the Monte Carlo simulation model yields results consistent with those in the literature that consider vehicle mobility and that cross-validate analytical models developed previously. The features of the simulation model facilitate determination of the connectivity of large-scale intervehicle communication systems.