scholarly journals Traffic Accident Analysis and Construction of the GIS Support System in Higashihiroshima City

2002 ◽  
Vol 19 ◽  
pp. 757-764 ◽  
Author(s):  
Hiroyuki TAKAI
2021 ◽  
Vol 29 (11) ◽  
pp. 995-1001
Author(s):  
Seryong Baek ◽  
Cheonho Kim ◽  
Jonghyuk Kim ◽  
Hasun Park ◽  
Jonghan Lim

1998 ◽  
Vol 30 (20-21) ◽  
pp. 1907-1914 ◽  
Author(s):  
Jesús Felez ◽  
Carlos Vera ◽  
M.Luisa Martı́nez

Author(s):  
Blanca Arenas Ramírez ◽  
Javier Páez Ayuso ◽  
José M. Mira McWilliams ◽  
Felipe Jiménez Alonso ◽  
Arturo Furones Crespo ◽  
...  

2020 ◽  
Vol 12 (5) ◽  
pp. 1972 ◽  
Author(s):  
Igor Dirnbach ◽  
Tibor Kubjatko ◽  
Eduard Kolla ◽  
Ján Ondruš ◽  
Željko Šarić

Currently, there are quite a lot of incorrect procedures and mistakes that occur in the forensic area, which lacks analytical approaches toward solving the causes of accidents using s–t diagrams (distance–time diagrams) combined with the software simulation applications. When analyzing accidents, the correct information is of key importance. The aim of this article is to define a new specific technical and analytical approach toward handling expert’s reports on traffic accidents in road transport at intersections, with respect to the traffic lights. A simulation program application is used as a progressive means of accident evaluation. This procedure must become a standard in the methods of modern traffic accident analysis. The application of this methodology with simulation tools for accident reconstruction enables one to perform a very precise analysis of traffic accidents. Mutual space and time relationships of vehicles’ movements have been evaluated here, depending upon the intersection signal plan. To demonstrate the methodology, a real case is used here, reconstructed by means of the complex analytical simulation software PC-Crash. A procedure processed by these means can be beneficial for forensic traffic accident analysis.


2021 ◽  
Vol 61 (1) ◽  
Author(s):  
Danijel Ivajnšič ◽  
David Pintarič ◽  
Veno Jaša Grujić ◽  
Igor Žiberna

Natural conditions play an important role as determinants and cocreators of the spatiotemporal road traffic accident Hot Spot footprint; however, none of the modern commercial, or open-source, navigation systems currently provides it for the driver. Our findings, based on a spatiotemporal database recording 11 years of traffic accidents in Slovenia, proved that different weather conditions yield distinct spatial patterns of dangerous road segments. All potentially dangerous road segments were identified and incorporated into a mobile spatial decision support system (SLOCrashInfo), which raises awareness among drivers who are entering or leaving the predefined danger zones on the street network. It is expected that such systems could potentially increase road traffic safety in the future.


2020 ◽  
Vol 6 (12) ◽  
pp. 2448-2456
Author(s):  
Asad Iqbal ◽  
Zia Ur Rehman ◽  
Shahid Ali ◽  
Kaleem Ullah ◽  
Usman Ghani

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


Sign in / Sign up

Export Citation Format

Share Document