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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/12191

Title: Discrete choice modelling for traffic densities with lane-change behaviour
Authors: Singh, Karandeep
Li, Baibing
Keywords: Discrete choice analysis
Kalman filter
Lane-change behaviour
Markov chain
Traffic flow
Issue Date: 2012
Publisher: © Elsevier
Citation: SINGH, K. and LI, B., 2012. Discrete Choice Modelling for Traffic Densities with Lane-Change Behaviour. 8th International Conference on Traffic and Transportation Studies, Changsha, China, Procedia - Social and Behavioral Sciences 43, pp.367-374.
Abstract: This paper investigates the modelling for traffic densities with lane-change behaviour using the information provided by loop detectors. The existing studies on traffic density estimation for multi-lane roadways mainly focus on the scenario where either vehicles’ lane-change manoeuvres are not common or the lane-change pattern is time-invariant. This research, however, takes into consideration the time-varying nature of drivers’ lane-change manoeuvres, and models the lane-change probabilities using a number of discrete choice models. These lane-change models are then embedded into a state space model to capture the dynamics of traffic flow. The extended Kalman filter is used to update the estimated traffic densities of multi-lane motorways. A numerical study is carried out to investigate the performance of the developed approach.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/12191
Appears in Collections:Conference Papers and Presentations (Business)

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