The Adaptive Recommendation Mechanism for Lane-Changing at Safe Distances in Vehicular Environments
This paper proposes a novel eight-direction mechanism that can receive location information about nearby vehicles to perform self-analysis for lane-changing activities. In this work, we assume that each vehicle creates \(3\times 3\) grids called safety-distance fields, and that the central grid is based on the given vehicles location. Also assuming one on board unit in each vehicle, this work uses location information of nearby vehicles as input for a cellular automata (CA) model that calculates whether or not vehicles in nearby lanes are a safe distance from the vehicle for which the calculations are being performed. The current study evaluates this approachs performance by conducting computer simulations. Simulation results reveal the strengths of the proposed CA model in terms of increased safety distance and increased collision-avoidance for urban vehicular environments.
lane-changing vehicular environments eight-direction mechanism ca obu