Modelling traffic flow at a multilane intersection

Ruili Wang, Heather J. Ruskin

Research output: Chapter in Book/Conference proceedingBook Chapterpeer-review

14 Citations (Scopus)

Abstract

This paper proposes a new model to study traffic flow at a multi-lane urban intersection, through detailed space considerations, using cellular automata (CA) and Minimum Acceptable sPace (MAP) method. Heterogeneity and inconsistency of driver behaviour and interactions at entrances of two-lane intersections are simulated by incorporation of different categories of driver behaviour and reassignment of categories with given probabilities at each time step. The method is able to reproduce many features of urban traffic, for which gap-acceptance models are less appropriate. Vehicles on entry roads are allocated to lanes based on queue-length on each lane. Two two-lane roundabout models are developed with different vehicle lane-allocation patterns. Various properties of two-lane intersection operations have been explored including throughput, turning rates, critical arrival rates and congestion on the intersections. Vehicle movements in this paper relate to left-side driving, such as found in UK and Ireland. However, rules are generally applicable.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsVipin Kumar, Marina L. Gavrilova, Chih Jeng Kenneth Tan, Pierre L’Ecuyer, Chih Jeng Kenneth Tan
PublisherSpringer Verlag
Pages577-586
Number of pages10
ISBN (Print)3540401555, 9783540448396
DOIs
Publication statusPublished - 2003
Externally publishedYes

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2667
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

Fingerprint

Dive into the research topics of 'Modelling traffic flow at a multilane intersection'. Together they form a unique fingerprint.

Cite this