2011
DOI: 10.1016/j.ssci.2011.04.008
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The application of reliability models in traffic accident frequency analysis

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Cited by 19 publications
(18 citation statements)
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“…The density function of the distribution of the time between two accidents f(t) represents a measure of the speed of the accident's occurrence [8,20]. The function of accident distribution density for the i-th section is:…”
Section: Figure 3 Number Of Road Accidents On Each Year By Day Of Weekmentioning
confidence: 99%
See 1 more Smart Citation
“…The density function of the distribution of the time between two accidents f(t) represents a measure of the speed of the accident's occurrence [8,20]. The function of accident distribution density for the i-th section is:…”
Section: Figure 3 Number Of Road Accidents On Each Year By Day Of Weekmentioning
confidence: 99%
“…One of them is collective, which analyze crash frequency over a long period of time [3,4,5], and another is individual, which determines estimation of real time crash likelihood [6,7,8,20].…”
Section: Introductionmentioning
confidence: 99%
“…Extant traffic incident models tend to focus on specific traffic incident attributes rather than developing a holistic incident model [2][3][4] . This modern aversion to holistic models derives from the work of Ceder and Livneh [5] who criticize attempts to use accidentsper-vehicle-kilometer as the sole analytical tool to assess the effectiveness of road improvements.…”
Section: Motivationmentioning
confidence: 99%
“…The studies of the first category generally start from a statistical assumption that the incident duration follows a certain statistical distribution. Typical duration distribution alternatives include lognormal (Golob et al, 1987;Garib et al, 1997;Chung and Yoon, 2012;Tavassoli Hojati et al, 2013), Weibull (Nam and Mannering, 2000;Tavassoli Hojati et al, 2013), log-logistic (Nam and Mannering, 2000;Stathopoulos and Karlaftis, 2002;Chung, 2010) and exponential (Jovanovic et al, 2011;Xie et al, 2014a). To complement the incident duration model, including random parameter terms are suggested to account for potential unobserved heterogeneity among sites (Nam and Mannering 2000;Tavassoli Hojati et al, 2013) and survival analysis approaches are proposed for data with censoring (Chung and Yoon 2012;Xie et al, 2014a).…”
Section: Literature Reviewmentioning
confidence: 99%