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

Tzu-Chang Lee, K. I. Wong

Research output: Contribution to journalArticle

3 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

Fingerprint

Agent-based Model
traffic
Queue
Traffic
Queuing
trajectories
Trajectory
Multinomial Logit Model
Queue Length
Survey Data
decision making
Interaction
intersections
Intersection
Decision Making
interactions
Demonstrate
Model

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Condensed Matter Physics

Cite this

@article{2b7ead7528264ad29700483a8074f7f5,
title = "An agent-based model for queue formation of powered two-wheelers in heterogeneous traffic",
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.",
author = "Tzu-Chang Lee and Wong, {K. I.}",
year = "2016",
month = "11",
day = "1",
doi = "10.1016/j.physa.2016.05.005",
language = "English",
volume = "461",
pages = "199--216",
journal = "Physica A: Statistical Mechanics and its Applications",
issn = "0378-4371",
publisher = "Elsevier",

}

An agent-based model for queue formation of powered two-wheelers in heterogeneous traffic. / Lee, Tzu-Chang; Wong, K. I.

In: Physica A: Statistical Mechanics and its Applications, Vol. 461, 01.11.2016, p. 199-216.

Research output: Contribution to journalArticle

TY - JOUR

T1 - An agent-based model for queue formation of powered two-wheelers in heterogeneous traffic

AU - Lee, Tzu-Chang

AU - Wong, K. I.

PY - 2016/11/1

Y1 - 2016/11/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=84973518535&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84973518535&partnerID=8YFLogxK

U2 - 10.1016/j.physa.2016.05.005

DO - 10.1016/j.physa.2016.05.005

M3 - Article

AN - SCOPUS:84973518535

VL - 461

SP - 199

EP - 216

JO - Physica A: Statistical Mechanics and its Applications

JF - Physica A: Statistical Mechanics and its Applications

SN - 0378-4371

ER -