Accident Analysis and Highway Safety

Omar, Noorliyana; Prasetijo, Joewono; Daniel, Basil David; Abdullah, Mohd Asrul Effendi

doi:10.1051/matecconf/201710308002

Cited by 8 publications

(10 citation statements)

References 10 publications

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“…Road traffic collisions between the two or more vehicles, between the pedestrians and vehicle, between the vehicles and fixed obstacles [7]. The black spot of the collision refers to a segment or section of road considered to be a place with a high risk of road collisions [8,9]. Another description of the black spot is that any site or location is 100 m in length and the past five years, four bodily injuries have been noted [10].…”

Section: Introductionmentioning

confidence: 99%

Road Traffic Accident Analysis and Identification of Black Spot Locations on Highway

et al. 2020

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Road safety is the main problem in developing countries. Every year, millions of people die in road traffic accidents, resulting in huge losses of humankind and the economy. This study focuses on the road traffic accident analysis and identification of black spots on the Lahore-Islamabad Highway M-2. Official data of road traffic accidents were collected from National Highway and Highway Police (NH & MP) Pakistan. The data was digitized on MS Excel and Origin Pro. The accident Point weightage (APW) method was employed to identify the black spots and rank of the top ten black spots. The analysis shows that the trend of road traffic accidents on M-2 was characterized by a high rate of fatal accidents of 35.3%. Human errors account for 66.8% as the major contributing factors in road traffic accidents, while vehicle errors (25.6%) and environmental factors (7.6%) were secondary and tertiary contributing factors. The main causes of road traffic accidents were the dozing on the wheel (27.9%), the careless driving (24.6%), tyre burst (11.7%), and the brakes failure (7.4%). Kallar Kahar (Salt Range) was identified as a black spot (223 km, 224 km, 225 km, 229 km, and 234 km) due to vehicle brake failure. The human error was a major contributory factor in road traffic accidents, therefore public awareness campaign on road safety is inevitable and use of the dozen alarm to overcome dozing on the wheel. Doi: 10.28991/cej-2020-03091629 Full Text: PDF

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Section: Introductionmentioning

confidence: 99%

Road Traffic Accident Analysis and Identification of Black Spot Locations on Highway

et al. 2020

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“…Utilizing QGIS, on the Cebu side (Cebu Stretch A and Cebu Stretch B), a total of 4 curvatures, 8 junctions, and 2 U-turn slots were recognized; on the Talisay side (Talisay Stretch A and Talisay Stretch B), a total of 13 junctions, 7 intersections, and 6 curvatures were identified. (Refer to Figures 6,7,8,& 9 for detailed visual representation regarding the road features mentioned above). Severe road traffic accidents usually occur on the Talisay side of CSCR N840 Highway.…”

Section: Discussionmentioning

confidence: 99%

Black Spot Identification and Road Accident Prediction Model on Cebu South Coastal Road (CSCR)

Sisbreño,

Sumilhig,

Venci

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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Millions of people die in road accidents yearly, causing significant damage to the economy and humanity. The main focus of the study is to analyze road accidents through Black Spot Identification and to establish a Prediction Model on the Cebu South Coastal Road (CSCR)-N840 Highway. The data gathered from government agencies were digitized using SPSS and MS Excel. The study revealed that the year 2018 has the highest number of accident cases with 555 (46.52%) and the lowest severity ratio of 0.41. In contrast, 2019 has the lowest frequency of accident cases with 159 (13.33%) and a severity ratio of 0.72. Through the APW system, the CSCR-N840 Highway’s top black spot locations were at 2.6 km, 1.2 km, 2.3 km, 0.9 km,2.2 km, 5.3 km, 4.6 km, 4.7 km, 3.7 km, 5.9 km, 7.6 km, 7.7 km, 8.2 km, 8.5 km, 6.5 km, 10.2km, 11.4 km, 9.4 km, 12.1 km, and 12.0 km. Also, the researchers presented a heat mapping through QGIS for visual analysis, where severe road traffic accidents usually occur on the Talisay side of CSCR N840 Highway due to 13 junctions, 7 intersections, and 6 curvatures. Lastly, in the developed regression model the accident rate decreases gradually with an increase in the traffic volume. Also, Poisson prediction model, as the accident probability increases, the accident rate may either increase or slowly decrease.

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“…In mathematical relations, highway accidents at distinct locations are infrequent, casual, multifactor events. The accident black spot mentions to a segment or section of a road viewed as a high-risk place or location for vehicle accidents [7]. Another description of black spot is that in which any site or location which have length 100m and during the last five year, 4 injuries accidents have been noted.…”

Section: IImentioning

confidence: 99%

Accident Analysis and Method Comparison of Finding Black Spots on M-2(Lahore-Islamabad) Motorway, Pakistan

Hasan¹

2022

IJRASET

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The purpose of this research is to locate the black spot on the Lahore-Islamabad Motorway and investigate the elements that contribute to traffic accidents (M2). The National Highways and Motorway Police (NHMP), Pakistan, provided 10 years of road accident data for this research. A total of 375 kilometres of M-2 were included in this study's database of sixteen hundred fifty two traffic accidents. Time, sector, beat, severity, casualty, severity index, weather, and other variables are taken into account while analysing the 2010-2020 crash data for M-2. The accident patterns and trends on various road segments have been analysed. Cars (50 percent), trucks (15 percent), buses (eight percent), and Hiace (seven percent) are the most susceptible vehicles (7 percent). More than two-thirds of accidents are caused by reckless driving (28%) or sleeping at the wheel (27%) or tyre bursts (11%) or mechanical faults (8%) or slick roads (5%) or incorrect pedestrian crossings (5%). (4 percent). In both Europe and Asia, several methodologies are used to identify problem areas. An overview of the approaches employed in Austria, Belgium, and India is presented in this work. Kallar Kahar (Salt Range) was classified as a "black spot" as a consequence of these approaches due to the large number of accidents that occur there (223 km, 224 km, 225 km, 229 km, 234 km, 195 km, and 283 km). Vehicle braking failure is the leading cause of car accidents. Because human error is a key component in car accidents, teaching drivers about traffic safety via traditional and new media may help reduce the number of collisions. Alarms and tyres monitoring gauges are advised to prevent mishaps caused by sleeping and tyre rupture. Keywords: Road Traffic Accidents, Traffic Safety, Black Spots, Motorway, Dozing alarms.

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Accident Analysis and Highway Safety

Cited by 8 publications

References 10 publications

Road Traffic Accident Analysis and Identification of Black Spot Locations on Highway

Road Traffic Accident Analysis and Identification of Black Spot Locations on Highway

Black Spot Identification and Road Accident Prediction Model on Cebu South Coastal Road (CSCR)

Accident Analysis and Method Comparison of Finding Black Spots on M-2(Lahore-Islamabad) Motorway, Pakistan

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