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

Abstract

Abstract: 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.