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

Tzu-Chang Lee, K. I. Wong

研究成果: Article

3 引文 (Scopus)

摘要

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.

原文English
頁(從 - 到)199-216
頁數18
期刊Physica A: Statistical Mechanics and its Applications
461
DOIs
出版狀態Published - 2016 十一月 1

指紋

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

引用此文

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