Improvement of traffic flux with introduction of a new lane-change protocol supported by Intelligent Traffic System

Jun Tanimoto, Xie An

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

A new Cellular Automata traffic model based on Revised S-NFS model was established, which considers traffic density ahead of a car in next 50 [m] and also accounts for a decision making process of whether a lane change should be tried or not so as to diminish the frequency of meaningless lane-changes. It intends to be applied as one of the protocols to improve traffic efficiency in premise with Intelligence Traffic System (ITS) that is able to provide information on traffic density next hundred meters in front of a focal vehicle. A series of systematic simulations reveals that the presented lane changing protocol enhances traffic flux vis-à-vis the conventional lane change rule based on the traditional incentive criterion and safe criterion. Social dilemma analysis suggests our new protocol mitigates a strong social dilemma encouraged by a competition between a cooperator; not intending any lane-changes and a defector; trying to lane-changes to minimize his own travel time.

Original languageEnglish
Pages (from-to)1-5
Number of pages5
JournalChaos, solitons and fractals
Volume122
DOIs
Publication statusPublished - May 1 2019

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Traffic
Social Dilemma
Traffic Model
Cellular Automaton Model
Travel Time
Incentives
Decision Making
Model-based
Minimise
Series
Simulation
Model

All Science Journal Classification (ASJC) codes

  • Mathematics(all)

Cite this

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