JSW 2011 Vol.6(6): 1110-1116 ISSN: 1796-217X
doi: 10.4304/jsw.6.6.1110-1116
doi: 10.4304/jsw.6.6.1110-1116
Research on Quantitative Method about Driver Reliability
Yihu Wu, Jiajia Li, Dan Yu, Haitao Cheng
School of Traffic Transportation Engineering, Changsha University of Science and Technology Changsha, Hunan, China
Abstract—The influence factors of reliability for drivers in different running stage are analyzed in the paper, firstly, based on Behavior-causing Theory. Then a new quantification method on transience reliability for drivers is advanced by a new definition “reliability degree”, whose error rate is calculated by the response time of drivers, and the influence factors how to influent the transience reliability degree is also researched. The whole reliability of drivers could be described by the new method. The results show the new method could not only statistics the reliability but also describe the relationship between reliability and time.
Index Terms—traffic engineering; reliability of drivers; reliability degree; error rate; influence factors
Abstract—The influence factors of reliability for drivers in different running stage are analyzed in the paper, firstly, based on Behavior-causing Theory. Then a new quantification method on transience reliability for drivers is advanced by a new definition “reliability degree”, whose error rate is calculated by the response time of drivers, and the influence factors how to influent the transience reliability degree is also researched. The whole reliability of drivers could be described by the new method. The results show the new method could not only statistics the reliability but also describe the relationship between reliability and time.
Index Terms—traffic engineering; reliability of drivers; reliability degree; error rate; influence factors
Cite: Yihu Wu, Jiajia Li, Dan Yu, Haitao Cheng, "Research on Quantitative Method about Driver Reliability," Journal of Software vol. 6, no. 6, pp. 1110-1116, 2011.
General Information
ISSN: 1796-217X (Online)
Frequency: Quarterly
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, CNKI, Google Scholar, ProQuest, INSPEC(IET), ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsweditorialoffice@gmail.com
-
Mar 01, 2024 News!
Vol 19, No 1 has been published with online version [Click]
-
Jan 04, 2024 News!
JSW will adopt Article-by-Article Work Flow
-
Apr 01, 2024 News!
Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec) [Click]
-
Apr 01, 2024 News!
Papers published in JSW Vol 18, No 1- Vol 18, No 6 have been indexed by DBLP [Click]
-
Nov 02, 2023 News!
Vol 18, No 4 has been published with online version [Click]