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A Case Study in China to Determine Whether GPS Data and Derivative Indicator Can Be Used to Identify Risky Drivers
Joint Authors
Fu, Rui
Liu, Tong
Guo, Yuxi
Zhang, Shiwei
Cheng, Wendong
Source
Journal of Advanced Transportation
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-16, 16 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-11-24
Country of Publication
Egypt
No. of Pages
16
Main Subjects
Abstract EN
This paper presents an investigation of the relationship between driver risk and factors indicating vehicle’s speed and driver’s acceleration behavior.
The main objective is to examine whether GPS data and derivative indicator can be used to identify risky drivers by means of factor analysis.
In doing so, a real road driving experiment is conducted to collect data.
Fifty drivers are asked to drive along a route which includes both rural highways and urban roads.
The trajectories are recorded by GPS devices to calculate speed and derive acceleration measures.
Driver’s behavior is also recorded by cameras and analyzed by another group of volunteers to determine whether the driver is risky or not.
The drivers are then classified into five groups with different levels of risk based on the scores obtained through factor analysis.
The results are verified by the volunteer's categorization and further evaluated by symbolic aggregate approximation.
A binary logistic regression model is established ultimately for predicting high-risk drivers.
The potential applications of this study include developing quantitative measures to identify risky drivers, especially for auto-insurance companies with usage-based insurance (UBI) applications, bus companies, and transport enterprises.
American Psychological Association (APA)
Fu, Rui& Liu, Tong& Guo, Yuxi& Zhang, Shiwei& Cheng, Wendong. 2019. A Case Study in China to Determine Whether GPS Data and Derivative Indicator Can Be Used to Identify Risky Drivers. Journal of Advanced Transportation،Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1170279
Modern Language Association (MLA)
Fu, Rui…[et al.]. A Case Study in China to Determine Whether GPS Data and Derivative Indicator Can Be Used to Identify Risky Drivers. Journal of Advanced Transportation No. 2019 (2019), pp.1-16.
https://search.emarefa.net/detail/BIM-1170279
American Medical Association (AMA)
Fu, Rui& Liu, Tong& Guo, Yuxi& Zhang, Shiwei& Cheng, Wendong. A Case Study in China to Determine Whether GPS Data and Derivative Indicator Can Be Used to Identify Risky Drivers. Journal of Advanced Transportation. 2019. Vol. 2019, no. 2019, pp.1-16.
https://search.emarefa.net/detail/BIM-1170279
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1170279