Injury severities from heavy vehicle accidents: An exploratory empirical analysis

Zubaidi, Hamsa; Alnedawi, Ali; Obaid, Ihsan; Abadi, Masoud Ghodrat

doi:10.1016/j.jtte.2021.02.009

Cited by 10 publications

(5 citation statements)

References 39 publications

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“…The use of geographic information system (GIS) in road accident analysis has developed extensively due to the ability to analyze large volumes of geospatial data and to determine spatial patterns in their occurrence, and the most common methods are: Fuzzy-AHP to determine significant determinants of road accidents [46,47]; accident characteristics analysis: location, user information, road type, vehicle, and crash severity using GIS [8,9,32,[48][49][50][51][52][53][54][55]; clustering techniques in GIS to determine hotspots and blackspots using kernel density, adjacent neighbor distance, and K functions [19,[56][57][58][59][60][61]; Getis and Moran's I-statistics [62]; and determining risk zones for vehicle crashes in GIS using neuro-fuzzy approaches [45].…”

Section: Introductionmentioning

confidence: 99%

GIS-Based Spatial Analysis Model for Assessing Impact and Cumulative Risk in Road Traffic Accidents via Analytic Hierarchy Process (AHP)—Case Study: Romania

Bilașco,

Man

2024

Applied Sciences

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On a global scale, traffic incidents are a leading cause of mortality and material damage. Romania exhibits the highest rate of road traffic fatalities both in the European Union and worldwide, requiring a comprehensive examination of its overall influence on a national level. The current study uses an extensive approach centering on a spatial analysis model based on the Analytic Hierarchy Process (AHP). Employing a series of spatial databases, this model delineates the geographical distribution and characteristics of road accidents to establish both their cumulative national impact and the identification of high-risk areas. The spatial database, containing traffic incident data, is constructed using geolocation techniques and integrated through network analysis to evaluate the impact in relation to distance. The AHP framework is applied in analyzing the impact across five key dimensions: accident severity, occurrence mode, prevailing weather conditions, traffic restrictions, and road markings. This multi-level AHP analysis not only identifies high-risk hotspots but also confirms the effectiveness of the proposed spatial model.

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Section: Introductionmentioning

confidence: 99%

GIS-Based Spatial Analysis Model for Assessing Impact and Cumulative Risk in Road Traffic Accidents via Analytic Hierarchy Process (AHP)—Case Study: Romania

Bilașco,

Man

2024

Applied Sciences

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“…On the open roads the factors which increase the likelihood of serious injuries in case of an accident with a truck include limited lighting or speed above 60 km/h. These and other harmful factors, such as limited space, are characteristic of road tunnels, which increases the likelihood of severity of the harm [ 1 ]. Moreover, the rise in hydrogen fuel cell electric vehicles (FCEVs) is expected to pose a variety of hazards in the road tunnels [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Subjective individuals’ perception during evacuation in road tunnels: Post-experiment survey results

Schmidt-Polończyk

2023

PLoS ONE

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The aim of the research was to analyse the process of evacuation from the point of view of the individual’s perception, behaviour and decision making. The study used a survey method that was conducted during two real-scale evacuation experiments in real road tunnels under smoky conditions. All experiments, with fire scenarios and procedures were very similar to real accident. Respondents’ observations and important aspects affecting the evacuation process were verified, including decision-making during evacuation, loss of bearing in smoky conditions and group evacuation. The results indicate that participants in the experiments had started the evacuation due to smoke in the tunnel and fire drill. The evacuees observed decreased visibility on the escape route as well as a loss of bearing in the tunnel when smoke levels were high (extinction coefficient Cs > 0,7 m-1). The participants in the experiment evacuated in a group (when the tunnel infrastructure was unknown and there was no instruction as to what to do) and in twos under the smokiest conditions (extinction coefficient Cs~1.0–1.1m-1). During the experiments, the large impact of herding behaviour and following the group was noticed. The results of such studies based on real-scale evacuation experiments in road tunnels are essential to improve the level of safety in the road tunnel. In the surveys, the participants pointed to important issues related to evacuation, which require particular attention during the design, implementation and acceptance of this type of construction. The results of the study provide a better understanding of the behaviour of evacuees and indicate areas where tunnel infrastructure needs to be improved.

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“…In vehicles crashes, speed has been established as a major risk factor. It affects both the likelihood of an occurrence and the seriousness of the injuries brought on by collisions [5]- [8]. The relationship between injury severity and speed is particularly problematic for bikers and pedestrians [9].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Speed, Flow, and Density Performance under Different Severity of Speed Bumps

Aboud,

Khaled,

Taher

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Speed bumps are effective traffic calming tools that give transportation experts the ability to regulate vehicle speeds and enhance safety in particular areas. Despite being often utilized in populated areas, they are more common on other, busier roads (especially in developing nations), thanks to their efficiency, low cost of implementation, and simple installation procedure. Numerous speeds, flow, and density relationship hypothesized in various studies are supported by empirical data gathered in favorable circumstances. Because the graph is not a function, those who delved into comparison study under diverse situations frequently employ forced curves to demonstrate how flow and speed are related. However, the research makes an attempt to hypothesize that the behavior of dynamic speed-flow, speed-density, and flow-density functions is identical. In the study, the link between speed and flow under different severity speed bumps. The current study’s main objective is to is to quantify traffic volume and speed according to controlled conditions before comparing them to unfavorable speed bumps conditions of varying severity: low SB1, medium SB2, and high SB3. To determine the link between the traffic characteristics, the Greenshields model is used. The study show that decrease in speed from 66.6 km/h (control section speed) to 39.4 km/h, which is equivalent to a drop in speed of about 40%. SB2’s moderate severity bumps on traffic volume, speed, and density caused the flow rate to drop to 1236 vph and the free flow speed to drop to 28.2 km/h. While SB3’s high intensity bumps had an impact on traffic characteristics, the study show that the maximum value of speed is 5.34 (km/h), which equates to an hourly traffic flow of 816 cars.

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Injury severities from heavy vehicle accidents: An exploratory empirical analysis

Cited by 10 publications

References 39 publications

GIS-Based Spatial Analysis Model for Assessing Impact and Cumulative Risk in Road Traffic Accidents via Analytic Hierarchy Process (AHP)—Case Study: Romania

GIS-Based Spatial Analysis Model for Assessing Impact and Cumulative Risk in Road Traffic Accidents via Analytic Hierarchy Process (AHP)—Case Study: Romania

Subjective individuals’ perception during evacuation in road tunnels: Post-experiment survey results

Evaluation of Speed, Flow, and Density Performance under Different Severity of Speed Bumps

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