DocumentCode
2235619
Title
A study of characteristics of motorway vehicle breakdown duration
Author
Wang, W. ; Chen, H. ; Bell, M.C.
Author_Institution
Inst. for Transp. Studies, Leeds Univ., UK
fYear
2002
fDate
2002
Firstpage
151
Lastpage
155
Abstract
This paper presents an analysis of vehicle breakdown duration on motorways. The distribution of breakdown duration was shown to be statistically significantly different for three categories of vehicle type and were shown to conform to a Weibull distribution. A predictive vehicle breakdown duration model was developed, based on fuzzy logic. The variables used in this model were: vehicle type, breakdown time, breakdown location and reporting mechanism. The performance of the model was tested with encouraging results. Clustering of data was shown to be due to rounding errors when the operator reported an incident duration of 60 and 120 minutes. The unexplained variation in the model was due to the limitations in the specification of the model parameters. This was because the incident data set available was incomplete. This paper highlights the need for standardisation in the recording of data used in incident management
Keywords
Weibull distribution; fuzzy logic; road traffic; road vehicles; statistical analysis; transportation; Weibull distribution; data clustering; fuzzy logic; incident data; incident management; motorway; predictive model; road traffic; standardisation; vehicle breakdown duration;
fLanguage
English
Publisher
iet
Conference_Titel
Road Transport Information and Control, 2002. Eleventh International Conference on (Conf. Publ. No. 486)
Conference_Location
London
ISSN
0537-9989
Print_ISBN
0-85296-746-2
Type
conf
DOI
10.1049/cp:20020223
Filename
1031643
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