Dangerous prediction by case-based approach on expressways

Chiung-Yao Fang, P. Y. Wu, S. L. Chang, Sei-Wang Chen

Research output: Contribution to conferencePaper

1 Citation (Scopus)

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
Pages1118-1123
Number of pages6
DOIs
Publication statusPublished - 2008 Dec 1
Event11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008 - Beijing, China
Duration: 2008 Dec 102008 Dec 12

Other

Other11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008
CountryChina
CityBeijing
Period08/12/1008/12/12

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

Cite this

Fang, C-Y., Wu, P. Y., Chang, S. L., & Chen, S-W. (2008). Dangerous prediction by case-based approach on expressways. 1118-1123. Paper presented at 11th International IEEE Conference on Intelligent Transportation Systems, ITSC 2008, Beijing, China. https://doi.org/10.1109/ITSC.2008.4732684