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

Tzu Chang Lee, K. I. Wong

Research output: Contribution to journalArticlepeer-review

12 Citations (Scopus)

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
Publication statusPublished - 2016 Nov 1

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Condensed Matter Physics

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