Dangerous driving event prediction on expressways using fuzzy attributed map matching

Chiung-Yao Fang, Bo Yan Wu, Jung Ming Wang, Sei-Wang Chen

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

2 Citations (Scopus)

Abstract

This paper presents a system for predicting dangerous driving events while driving on an expressway. There are three major tasks involved in the prediction system: (1) how to perceive driving events on the input sequence of driving conditions, (2) how to represent driving events, and (3) how to interpret driving events to decide whether or not they are hazardous. A directed acyclic graph, called the attributed driving relational map (ADRM), is introduced to represent driving events. The ADRM chronicles a driving event in terms of driving conditions. The prediction system evaluates the driving event to determine whether it is perilous or not by matching its ADRM against those of known dangerous driving events preserved in a database using a fuzzy attributed map matching technique. The database can automatically augment by including new dangerous driving events that approved any of the predefined danger criteria. A series of experiments with synthetic examples generated by a driving simulator have been conducted to demonstrate the feasibility and rationality of the proposed system.

Original languageEnglish
Title of host publication2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
Pages2718-2723
Number of pages6
DOIs
Publication statusPublished - 2010 Nov 15
Event2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010 - Qingdao, China
Duration: 2010 Jul 112010 Jul 14

Publication series

Name2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
Volume5

Other

Other2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
CountryChina
CityQingdao
Period10/7/1110/7/14

Keywords

  • Activation mechanism
  • Attributed driving relational map
  • Dangerous driving event prediction system
  • Driving safety assistance system
  • Fuzzy attributed map matching

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Human-Computer Interaction

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  • Cite this

    Fang, C-Y., Wu, B. Y., Wang, J. M., & Chen, S-W. (2010). Dangerous driving event prediction on expressways using fuzzy attributed map matching. In 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010 (pp. 2718-2723). [5580474] (2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010; Vol. 5). https://doi.org/10.1109/ICMLC.2010.5580474