Literature DB >> 26994373

Risk assessment in ramps for heavy vehicles--A French study.

Veronique Cerezo1, Florence Conche2.   

Abstract

This paper presents the results of a study dealing with the risk for heavy vehicles in ramps. Two approaches are used. On one hand, statistics are applied on several accidents databases to detect if ramps are more risky for heavy vehicles and to define a critical value for longitudinal slope. χ(2) test confirmed the risk in ramps and statistical analysis proved that a longitudinal slope superior to 3.2% represents a higher risk for heavy vehicles. On another hand, numerical simulations allow defining the speed profile in ramps for two types of heavy vehicles (tractor semi-trailer and 2-axles rigid body) and different loads. The simulations showed that heavy vehicles must drive more than 1000 m on ramps to reach their minimum speed. Moreover, when the slope is superior to 3.2%, tractor semi-trailer presents a strong decrease of their speed until 50 km/h. This situation represents a high risk of collision with other road users which drive at 80-90 km/h. Thus, both methods led to the determination of a risky configuration for heavy vehicles: ramps with a length superior to 1000 m and a slope superior to 3.2%. An application of this research work concerns design methods and guidelines. Indeed, this study provides threshold values than can be used by engineers to make mandatory specific planning like a lane for slow vehicles.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Heavy vehicles; Longitudinal slope; Ramps; Speed profile; Statistical analyses

Mesh:

Year:  2016        PMID: 26994373     DOI: 10.1016/j.aap.2016.02.017

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


  1 in total

1.  EEG Theta Power Activity Reflects Workload among Army Combat Drivers: An Experimental Study.

Authors:  Carolina Diaz-Piedra; María Victoria Sebastián; Leandro L Di Stasi
Journal:  Brain Sci       Date:  2020-03-28
  1 in total

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