With wireless communication devices becoming ubiquitous, Advanced Transportation Information Systems based on Inter-Vehicle Communication (IVC) are receiving increasing attention due to their fast response to incidents and resilience to disasters. In such IVC systems, vehicles equipped with wireless devices form a mobile ad hoc network, whose multi-hop connectivity is an important performance measurement. This talk presents an analytical recursive model and a Monte Carlo simulation model for computing the probability for two equipped vehicles or road-side stations to be connected through IVC. These models are derived based on the assumption that inter-vehicle communication is instantaneous with respect to vehicle movement and the concept of Most-Forwarded-within-Range communication chains. The two models, which cross-validate each other, are able to capture the impact of traffic patterns on IVC and yield results consistent with those in literature. Some future research directions will also be discussed.
