Lane Change Modelling with Fuzzy Logic in Microscopic Traffic Simulation

抄録

In microscopic traffic simulation, lane change phenomenon is considered as vital in representing individual vehicle behaviour. Many lane change models have not considered the uncertainties and perceptions involved while modelling, which are very important to represent human behaviour. In the present study, these uncertainties and perceptions have been considered to represent lane changing behaviour more realistically. For this purpose, a suitable technique namely fuzzy reasoning has been considered. The comparison with observed data indicated that fuzzy reasoning has produced more realistic driver behaviour compared to standard modelling in lane change. The effectiveness of this technique has also been demonstrated by considering a real urban network.