Lane Change Modelling with Fuzzy Logic in Microscopic Traffic Simulation

Madhu Errampalli; Masashi Okushima; Takamasa Akiyama

doi:10.14864/softscis.2006.0.919.0

SCIS & ISIS 2006

Session ID : FR-G2-2

DOI https://doi.org/10.14864/softscis.2006.0.919.0

Conference information

Host: Japan SOciety for Fuzzy Theory and intelligent informatics

Co-host: The Korea Fuzzy Logic and Intelligent Systems Society, IEEE Computational Intelligence Society, The International Fuzzy Systems Association, 21th Century COE Program "Creation of Agent-Based Social Systems Sciences"

FR-G2 Soft Computing in Traffic and Transport Planning

Lane Change Modelling with Fuzzy Logic in Microscopic Traffic Simulation

*Madhu Errampalli, Masashi Okushima, Takamasa Akiyama

Author information

Keywords: Lane Change Modelling, Fuzzy Reasoning Approach, Microscopic Traffic Simulation

CONFERENCE PROCEEDINGS FREE ACCESS

Details

Abstract

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.

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