An agent-based model for queue formation of powered two-wheelers in heterogeneous traffic

Tzu Chang Lee*, Ka-Io Wong

*Corresponding author for this work

Research output: Contribution to journalArticle

4 Scopus citations

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.

Original languageEnglish
Pages (from-to)199-216
Number of pages18
JournalPhysica A: Statistical Mechanics and its Applications
Volume461
DOIs
StatePublished - 1 Nov 2016

Keywords

  • Agent-based modeling
  • Heterogeneous traffic
  • Motorcycle
  • Multinomial logit model
  • Powered two-wheeler
  • Queue formation

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