Car-Following Model Based on Ahead Acceleration and Velocity Differences

摘要

The traditional car-following theory suppose that drivers' reaction absolutely depend on leading-vehicle behavior. Actually, drivers make decisions based on the information of leading-vehicle and the second leading-vehicle, even more. Recent researches only consider the speeds and locations of multiple leading-vehicles, but the acceleration of leading-vehicle also plays a vital role in the car-following characteristics. Based on the FVD (Full Velocity Difference) model and the OV (Optimal Velocity model) model, the MAAVD (Multiple Ahead Acceleration and Velocity Differences) model which take accelerations and velocities of multiple leading-vehicles into account is established. Linear stabilization and sensitivity of susceptibility of different models are simulated and compared. The result shows that the new model could improve the stability of traffic flow by considering the information of leading-vehicle and second leading-vehicle and could improve the stability better by considering the acceleration of leading-vehicle.