traffic incident clearance time and arrival time prediction based on hazard models

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ID: 129078
2014
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Abstract
Accurate prediction of incident duration is not only important information of Traffic Incident Management System, but also an effective input for travel time prediction. In this paper, the hazard based prediction models are developed for both incident clearance time and arrival time. The data are obtained from the Queensland Department of Transport and Main Roads’ STREAMS Incident Management System (SIMS) for one year ending in November 2010. The best fitting distributions are drawn for both clearance and arrival time for 3 types of incident: crash, stationary vehicle, and hazard. The results show that Gamma, Log-logistic, and Weibull are the best fit for crash, stationary vehicle, and hazard incident, respectively. The obvious impact factors are given for crash clearance time and arrival time. The quantitative influences for crash and hazard incident are presented for both clearance and arrival. The model accuracy is analyzed at the end.
Reference Key
ji2014mathematicaltraffic Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Yang beibei Ji;Rui Jiang;Ming Qu;Edward Chung
Journal journal of power sources
Year 2014
DOI
10.1155/2014/508039
URL
http://dx.doi.org/10.1155/2014/508039
Keywords
civil engineering (general)mathematics engineering (general)

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