Dangerous driving event prediction on expressways using fuzzy attributed map matching

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

研究成果: 書貢獻/報告類型會議論文篇章

2 引文 斯高帕斯(Scopus)

摘要

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.

原文英語
主出版物標題2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
頁面2718-2723
頁數6
DOIs
出版狀態已發佈 - 2010 十一月 15
事件2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010 - Qingdao, 中国
持續時間: 2010 七月 112010 七月 14

出版系列

名字2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
5

其他

其他2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
國家中国
城市Qingdao
期間2010/07/112010/07/14

ASJC Scopus subject areas

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

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