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Dangerous prediction by case-based approach on expressways

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purpose of this system is to reduce the rate of dangerous events caused by various driving factors. We compose a driving relational map as the system inputs factors of driver behavior, nearby vehicles and roadway factors, and then put this driving relational map into the matching process with dangerous driving relational maps. If the similarity between the driving relational map and one of the dangerous driving relational maps is high, a dangerous event may occur. At this time the system will warn the driver to watch out for this dangerous event. Along with the learning process based on case-base reasoning, the system will become a flawless danger prediction system.

Original languageEnglish
Title of host publicationProceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1118-1123
Number of pages6
ISBN (Print)9781424421121
DOIs
Publication statusPublished - 2008
Event11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008 - Beijing, China
Duration: 2008 Oct 122008 Oct 15

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC
ISSN (Print)2153-0009
ISSN (Electronic)2153-0017

Conference

Conference11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008
Country/TerritoryChina
CityBeijing
Period2008/10/122008/10/15

ASJC Scopus subject areas

  • Computer Science Applications
  • Automotive Engineering
  • Mechanical Engineering

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