Analysis of accident duration on urban arterials roads

Authors

DOI:

https://doi.org/10.14295/transportes.v28i3.2142

Keywords:

Non-recurrent congestion. Traffic accidents duration. Survival analysis.

Abstract

Traffic accidents are the major factor for the formation of non-recurrent traffic jams in urban roads, causing unexpected delays to the users. The understanding of the variability of traffic accident duration and its main explanatory factors can lead to a more efficient urban traffic management. Aiming to contribute to this problem, this paper analyzes the duration of traffic accidents occurring in the urban arterial roads of Fortaleza city, Brazil. Initially, a method to detect the duration of accidents from traffic data of the electronic surveillance system was proposed, given the unavailability of this information in the traffic accident database of the Fortaleza’s traffic management agency. As results, the analysis of 324 accidents showed an average duration of 72 minutes and a standard deviation of 48 minutes. The Gamma density function was identified as the best fit for the duration of accidents, indicating that this variable is affected by events that occur over time, increasing the probability of the accidents being resolved. The analysis revealed that factors related to traffic agent services, individual behavior, number of vehicles and accident location (mid-block or intersection) may affect the accident duration. However, no evidence was found that the duration of accidents is influenced by its severity (accidents with or without victims) or by its nature.

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Author Biographies

Vandeyberg Nogueira de Souza, Federal University of Ceará

Department of Transportation Engineering

 

Francisco Moraes de Oliveira Neto, Federal University of Ceará

Department of Transportation Engineering

 

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Published

2020-08-31

How to Cite

de Souza, V. N., & de Oliveira Neto, F. M. (2020). Analysis of accident duration on urban arterials roads. Transportes, 28(3), 266–280. https://doi.org/10.14295/transportes.v28i3.2142

Issue

Vol. 28 No. 3 (2020)

Section

Articles

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