Design and Performance Evaluation of a VANET-Based Adaptive Overtaking Assistance System

摘要

One of the most risky maneuvers in roads with both directions in the same carriageway and only one lane for each direction is overtaking another vehicle. To overtake becomes particularly dangerous at night, with bad weather conditions and in curves, due to the diminution of visibility. This paper suggests a VANET-based Adaptive Overtaking Assistance System (VAOAS). The VAOAS not only considers both the driving skill of drivers and the length of overtaking/preceding vehicles, but also supports all strategies of overtaking using VANETs. The performance of VAOAS system is evaluated as the number of V2V messages, overtaking and passing sight distances, and overtaking success rate, depending on traffic densities of both directions through a simulation.