Modelling tactical driving manoeuvres with GA-INTACT

H. Tawfik, P. Liatsis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This work concerns the design and development of a driving simulation system, which exhibits intelligent driving behaviour at the tactical level, as part of a traffic simulation environment. Our tactical driving system using genetic algorithms, named GA-INTACT, accounts for the subject vehicle and other vehicles positions and speed parameters in the surrounding traffic condition, and selects favourable speed change and lane transition actions for the 'subject' vehicle, according to safety, speed and driving behaviour criteria. Simulation results demonstrated that the adoption of the Genetic Algorithms approach for obtaining near-optimum driving solutions eliminates the need for learning driving patterns, and allows the efficient handling of the complex nature of tactical driving modelling problem. The role of the driving behaviour in influencing the outcome of the driver's decision is emphasised, an aspect that was not treated sufficiently in previous tactical driving simulation approaches.

Original languageBritish English
Title of host publicationComputational Science - ICCS 2006
Subtitle of host publication6th International Conference, Proceedings
PublisherSpringer Verlag
Pages767-774
Number of pages8
ISBN (Print)3540343830, 9783540343837
DOIs
StatePublished - 2006
EventICCS 2006: 6th International Conference on Computational Science - Reading, United Kingdom
Duration: 28 May 200631 May 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3993 LNCS - III
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceICCS 2006: 6th International Conference on Computational Science
Country/TerritoryUnited Kingdom
CityReading
Period28/05/0631/05/06

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