An agent-based model for queue formation of powered two-wheelers in heterogeneous traffic
Authored by Tzu-Chang Lee, K I Wong
Date Published: 2016
DOI: 10.1016/j.physa.2016.05.005
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Abstract
This paper presents an agent-based model (ABM) for simulating the queue
formation of powered two-wheelers (PTWs) in heterogeneous traffic at a
signalized intersection. The main novelty is that the proposed
interaction rule describing the position choice behavior of PTWs when
queuing in heterogeneous traffic can capture the stochastic nature of
the decision making process. The interaction rule is formulated as a
multinomial logit model, which is calibrated by using a microscopic
traffic trajectory dataset obtained from video footage. The ABM is
validated against the survey data for the vehicular trajectory patterns, queuing patterns, queue lengths, and discharge rates. The results
demonstrate that the proposed model is capable of replicating the
observed queue formation process for heterogeneous traffic. (C) 2016
Elsevier B.V. All rights reserved.
Tags
Simulation
transportation
Protocol
Vehicles
Flow
Signalized intersections
Motorcycle