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Associating Incident Clearance Duration with Freeway Segment Types Using Hierarchical Bayesian Survival Model
https://orcid.org/0000-0002-8865-4054
Traffic incidents represent nonrecurring events that have long been found to deteriorate traffic operations and safety. Studies agree that quick incident clearance would translate into substantial savings for the motoring public. However, many factors influence how quickly an incident can be cleared. This paper investigated the influence of the incident location on incident clearance duration using a hierarchical Bayesian survival model. The study presented a statistical approach to examine disparities in incident clearance duration on different freeway segments (i.e., basic, merge, diverge, weaving, on-ramp, and off-ramp sections). In the analysis, data from 58,167 incidents that occurred on freeways in Jacksonville, Florida, for the years 2014–2017 were analyzed. The Bayesian hypothesis testing revealed credible differences in incident clearance durations among most freeway segment pairs. The model results indicated that basic freeway segments had the longest incident clearance durations, followed by diverge segments and off-ramps. Incidents that were crashes, were severe, resulted in shoulder blockage, occurred on weekends, and occurred on segments with high traffic volumes took significantly longer time to be cleared. The study findings could help practitioners strategically position and allocate appropriate incident response resources along the freeway corridors. Practitioners could consider depots along longer basic freeway segments and diverge segments to enable the quick arrival of incident response teams.
Associating Incident Clearance Duration with Freeway Segment Types Using Hierarchical Bayesian Survival Model
https://orcid.org/0000-0002-8865-4054
Traffic incidents represent nonrecurring events that have long been found to deteriorate traffic operations and safety. Studies agree that quick incident clearance would translate into substantial savings for the motoring public. However, many factors influence how quickly an incident can be cleared. This paper investigated the influence of the incident location on incident clearance duration using a hierarchical Bayesian survival model. The study presented a statistical approach to examine disparities in incident clearance duration on different freeway segments (i.e., basic, merge, diverge, weaving, on-ramp, and off-ramp sections). In the analysis, data from 58,167 incidents that occurred on freeways in Jacksonville, Florida, for the years 2014–2017 were analyzed. The Bayesian hypothesis testing revealed credible differences in incident clearance durations among most freeway segment pairs. The model results indicated that basic freeway segments had the longest incident clearance durations, followed by diverge segments and off-ramps. Incidents that were crashes, were severe, resulted in shoulder blockage, occurred on weekends, and occurred on segments with high traffic volumes took significantly longer time to be cleared. The study findings could help practitioners strategically position and allocate appropriate incident response resources along the freeway corridors. Practitioners could consider depots along longer basic freeway segments and diverge segments to enable the quick arrival of incident response teams.
Associating Incident Clearance Duration with Freeway Segment Types Using Hierarchical Bayesian Survival Model
https://orcid.org/0000-0002-8865-4054
Traffic incidents represent nonrecurring events that have long been found to deteriorate traffic operations and safety. Studies agree that quick incident clearance would translate into substantial savings for the motoring public. However, many factors influence how quickly an incident can be cleared. This paper investigated the influence of the incident location on incident clearance duration using a hierarchical Bayesian survival model. The study presented a statistical approach to examine disparities in incident clearance duration on different freeway segments (i.e., basic, merge, diverge, weaving, on-ramp, and off-ramp sections). In the analysis, data from 58,167 incidents that occurred on freeways in Jacksonville, Florida, for the years 2014–2017 were analyzed. The Bayesian hypothesis testing revealed credible differences in incident clearance durations among most freeway segment pairs. The model results indicated that basic freeway segments had the longest incident clearance durations, followed by diverge segments and off-ramps. Incidents that were crashes, were severe, resulted in shoulder blockage, occurred on weekends, and occurred on segments with high traffic volumes took significantly longer time to be cleared. The study findings could help practitioners strategically position and allocate appropriate incident response resources along the freeway corridors. Practitioners could consider depots along longer basic freeway segments and diverge segments to enable the quick arrival of incident response teams.
Associating Incident Clearance Duration with Freeway Segment Types Using Hierarchical Bayesian Survival Model
J. Transp. Eng., Part A: Systems
Salum, Jimoku H. (author) / Kodi, John H. (author) / Kidando, Emmanuel (author) / Alluri, Priyanka (author) / Sando, Thobias (author)
2023-01-01
Article (Journal)
Electronic Resource
English
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