Literature DB >> 3675808

An analysis of the severity and incident duration of truck-involved freeway accidents.

T F Golob1, W W Recker, J D Leonard.   

Abstract

Data associated with over 9000 accidents involving large trucks and combination vehicles during a two-year period on freeways in the greater Los Angeles area are analyzed relative to collision factors, accident severity, and incident duration and lane closures. Relationships between type of collision and accident characteristics are explored using log-linear models. The results point to significant differences in several immediate consequences of truck-related freeway accidents according to collision type. These differences are associated both with the severity of the accident, in terms of injuries and fatalities, as well as with the impact of the accident on system performance, in terms of incident duration and lane closures. Hit-object and broadside collisions were the most severe types in terms of fatalities and injuries, respectively, and single-vehicle accidents are relatively more severe than two-vehicle accidents. The durations of accident incidents were found to be log-normally distributed for homogeneous groups of truck accidents, categorized according to type of collision and, in some instances, severity. The longest durations are typically associated with overturns.

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Year:  1987        PMID: 3675808     DOI: 10.1016/0001-4575(87)90023-6

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  5 in total

1.  Comparing and Contrasting the Impacts of Macro-Level Factors on Crash Duration and Frequency.

Authors:  Sai Chand; Zhuolin Li; Abdulmajeed Alsultan; Vinayak V Dixit
Journal:  Int J Environ Res Public Health       Date:  2022-05-08       Impact factor: 4.614

2.  Incident duration modeling using flexible parametric hazard-based models.

Authors:  Ruimin Li; Pan Shang
Journal:  Comput Intell Neurosci       Date:  2014-11-04

3.  Maximum flow-based resilience analysis: From component to system.

Authors:  Chong Jin; Ruiying Li; Rui Kang
Journal:  PLoS One       Date:  2017-05-17       Impact factor: 3.240

4.  Prediction of Duration of Traffic Incidents by Hybrid Deep Learning Based on Multi-Source Incomplete Data.

Authors:  Qiang Shang; Tian Xie; Yang Yu
Journal:  Int J Environ Res Public Health       Date:  2022-09-01       Impact factor: 4.614

5.  Road Traffic Related Injury Severity in Truck Drivers: A Prospective Medical and Technical Analysis of 582 Truck Crashes.

Authors:  Sebastian Decker; Dietmar Otte; Christian Walter Muller; Mohamed Omar; Christian Krettek; Carl Haasper; Stephan Brand
Journal:  Arch Trauma Res       Date:  2016-05-27
  5 in total

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