NDLI: Systematic methodology of multi-source information fusion for improving older drivers' safety

Content Provider	IEEE Xplore Digital Library
Author	Li Xu Qunfei Zhao Chengbin Ma Fangfang Lu
Copyright Year	2009
Description	Author affiliation: Institute of Image Processing and Pattern Recognition in Shanghai Jiaotong University, China (Li Xu; Qunfei Zhao; Fangfang Lu) \|\| UM-SJTU Joint Institute in Shanghai Jiaotong University, China (Chengbin Ma)
Abstract	Drivers over the age of 65 are increasing rapidly in numbers and they are inclined to be involved in accidents frequently. In this paper, a multi-source information fusion model to improve the driving safety for older drivers is proposed. First, the influences of surrounding features, such as traffic and weather, on the driving safety are analyzed and the surrounding driving safety degree (SDSD) is proposed to represent it. Second, we analyze the effect of driving behavior characters on the driving safety and name it as the driving behavior safety degree (DBSD). Then we propose a fuzzy information fusion method to evaluate the driver safety degree (DSD) based on the evaluation results of SDSD and DBSD. The fuzzy reasoning rules can be adjusted to satisfy different drivers through analyzing the driving behavior and history traffic accident logs collected. We test our methods based on the data sets collected from the American National Highway Traffic Safety Administration (NHTSA) and the experimental results show that the proposed method is more efficient in improving the older driver's safety.
Starting Page	1009
Ending Page	1014
File Size	1101553
Page Count	6
File Format	PDF
ISBN	9781424435036
ISSN	19310587
DOI	10.1109/IVS.2009.5164419
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-03
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicle safety Road accidents Vehicle crash testing Traffic control US Department of Transportation Road safety Automobiles Aging Alarm systems Intelligent vehicles
Content Type	Text
Resource Type	Article

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