NDLI: A Mathematical Model for the Prediction of Speeding with its Validation

Content Provider	IEEE Xplore Digital Library
Author	Guozhen Zhao Changxu Wu Chunming Qiao
Copyright Year	2000
Abstract	Speeding is one of the most prevalent contributing factors in traffic crashes. The prediction of speeding is important to reduce excessive speeds and prevent speeding-related traffic accidents and injuries. Speeding (either intentional or unintentional) is a consequence of inappropriate speed control. This paper extends a previous mathematical model of driver speed control to provide quantitative predictions of intentional and unintentional speeding. These predictions consist of the time at which the driver exceeds the speed limit and the magnitude of speeding. Based on these modeling predictions, this paper develops an intelligent speeding prediction system (ISPS) to prevent the occurrence of speeding. An experimental study using a driving simulator is conducted to evaluate the ISPS. We find no significant difference between modeled predictions and experimental results in terms of the time and magnitude of intentional speeding. In addition, the ISPS can successfully predict the majority of unintentional speeding instances, with only a small portion of unnecessary speeding warnings. Applications of the ISPS to reduce driving speed and prevent the real-time occurrence of speeding and speeding-related traffic accidents are discussed.
Sponsorship	IEEE Intelligent Transportation Systems Society
Starting Page	828
Ending Page	836
Page Count	9
File Size	419449
File Format	PDF
ISSN	15249050
Volume Number	14
Issue Number	2
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Predictive models Mathematical model Acceleration Velocity control Data models Road transportation speeding prediction In-vehicle intelligent system mathematical model speeding
Content Type	Text
Resource Type	Article
Subject	Automotive Engineering Mechanical Engineering Computer Science Applications

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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