Scenario-based Benchmark Analysis for Car-following Models

Abstract:

Seven typical car-following models under different mechanisms， including microscopic traffic simulator（MITSIM）、Gipps model、Wiedemann model、full velocity difference（FVD） model、intelligent driver model（IDM）、S-K model and longitudinal control model（LCM）， were tested under seven designed driving regimes. It is shown that each model is able to complete three free flow regimes to a certain extent， and the performance of LCM is consistent with the cognition rather than the other models. IDM has the smallest value of acceleration and the longest acceleration process. Only Gipps model， FVD model， IDM， and S-K model are able to complete four car-following regimes， among which FVD model has the most timely response to the state change of preceding vehicle. The speed and acceleration of S-K model are always in a slight oscillation under seven driving regimes， which is in line with the actual driving situation.