Modelling lane changing and merging in microscopic traffic simulation |
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| Authors: | Peter Hidas |
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| Affiliation: | 1. Department of Mechanics, Tianjin University, Tianjin, 300072, China;2. School of Engineering, University of California, Merced, CA 95343, USA;1. Institute of Transport and Logistics Studies, University of Sydney Business School, The University of Sydney, Australia;2. School of Civil Engineering, The University of Queensland, Australia;3. Queensland University of Technology, Science and Engineering Faculty, School of Civil & Environmental Engineering, 2 George St, GPO Box 2434, Brisbane, Qld 4001, Australia;1. School of Civil Engineering, The University of Queensland, St. Lucia 4072, Brisbane, Australia;2. Queensland University of Technology, Science and Engineering Faculty, School of Civil & Environmental Engineering, 2 George St, GPO Box 2434, Brisbane, Qld 4001, Australia |
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| Abstract: | This paper introduces Simulation of Intelligent TRAnsport Systems (SITRAS), a massive multi-agent simulation system in which driver-vehicle objects are modelled as autonomous agents. The simulation outputs can be used for the evaluation of Intelligent Transport Systems applications such as congestion and incident management, public transport priority and dynamic route guidance. The model concepts and specifications, and the first applications of the model in the area of incident modelling in urban arterial networks were described in previous publications. This paper presents the details of the lane changing and merging algorithms developed for the SITRAS model. These models incorporate procedures for ‘forced’ and ‘co-operative’ lane changing which are essential for lane changing under congested (and incident-affected) traffic conditions. The paper describes the algorithms and presents simulation examples to demonstrate the effects of the implemented models. The results indicate that only the forced and cooperative lane changing models can produce realistic flow-speed relationships during congested conditions. |
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| Keywords: | Microscopic traffic simulation Lane changing Merging Multi-agent systems |
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