Optimization Model of Traffic Accident Black-Spots Formation Mechanism

2010 ◽  
Author(s):  
Sheng Yugang ◽  
Xu Weijuan
Keyword(s):  
Formation Mechanism ◽  
Optimization Model ◽  
Traffic Accident ◽  
Black Spots

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

2020 ◽  
Vol 6 (12) ◽  
pp. 2448-2456
Author(s):  
Asad Iqbal ◽  
Zia Ur Rehman ◽  
Shahid Ali ◽  
Kaleem Ullah ◽  
Usman Ghani
Keyword(s):  
Road Safety ◽  
Road Traffic Accident ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Traffic ◽  
Black Spot ◽  
Accident Analysis ◽  
Road Traffic Accidents ◽  
Contributing Factors ◽  
Black Spots

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

scholarly journals PENINGKATAN KESELAMATAN JALAN PADA BLACK SPOT JALAN PROVINSI DI KABUPATEN SLEMAN

2021 ◽  
Vol 21 (2) ◽  
pp. 109-122
Author(s):  
One Sigit Hermanto ◽  
Agus Taufik Mulyono ◽  
Latif Budi Suparma
Keyword(s):  
Road Safety ◽  
Traffic Management ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Safety Evaluation ◽  
Black Spot ◽  
The Road ◽  
Technical Requirements ◽  
Black Spots ◽  
Rumble Strip

Abstract   The fatality rate of traffic accidents in Sleman Regency is increasing every year. This study aims to identify black spots and set priorities for repairing road infrastructure components needed to improve road safety on 3 provincial roads in Sleman Regency. The black spot is determined using the Accident Equivalence Number Method and the Upper Control Limit. The evaluation carried out resulted in the 3 worst segments on each observed road segment. The results of the road safety evaluation show that the technical implementation of traffic management and engineering, the technical use of road components, and the technicality of road equipment are the 3 technical requirements of the road with the lowest level of application. To improve road safety, this study recommends adding rumble strips, adding signs, relocating roadside hazards, and adding sidewalks and crossing zones.   Keywords: fatality; black spots; traffic accident; road; road safety.     Abstrak   Tingkat fatalitas kecelakaan lalu lintas di Kabupaten Sleman meningkat setiap tahun. Penelitian ini bertujuan untuk mengidentifikasi black spot dan menetapkan prioritas perbaikan komponen infrastruktur jalan yang diperlukan untuk meningkatkan keselamatan jalan di 3 ruas jalan provinsi di Kabupaten Sleman. Black spot ditentukan dengan menggunakan Metode Angka Ekivalensi Kecelakaan dan Batas Kontrol Atas. Evaluasi yang dilakukan menghasilkan 3 segmen terburuk pada setiap ruas jalan yang diamati. Hasil evaluasi keselamatan jalan menunjukkan bahwa teknis penyelenggaraan manajemen dan rekayasa lalu lintas, teknis pemanfaatan bagian-bagian jalan, dan teknis perlengkapan jalan merupakan 3 persyaratan teknis jalan dengan tingkat penerapan terendah. Untuk meningkatkan keselamatan jalan, studi ini merekomendasikan penambahan rumble strip, penambahan rambu, merelokasi hazard yang terdapat di tepi jalan, serta penambahan trotoar dan zona penyeberangan.   Kata-kata kunci: fatalitas; black spot; kecelakaan lalu lintas; jalan; keselamatan jalan.

A Traffic Accident Predictive Model Based on Neural Networks Algorithm and Rough Set Theory

2011 ◽  
Vol 97-98 ◽  
pp. 947-951 ◽  
Author(s):  
Qiao Ru Li ◽  
Liang Chen ◽  
Chang Guang Cheng ◽  
Yue Xiang Pan
Keyword(s):  
Neural Network ◽  
Set Theory ◽  
Rough Set ◽  
Bp Neural Network ◽  
Traffic Accident ◽  
Rough Set Theory ◽  
Road Traffic ◽  
Black Spot ◽  
Black Spots ◽  
Neural Network Algorithm

The most important and critical step to improve road traffic safety is prediction and identification of traffic accident black spot. A new prediction model of traffic accident black spots is proposed based on GA-BP neural network algorithm and rough set theory. First of all, the traffic accident statistics of Jinwei Road in Tianjin are analyzed. With consideration of static road conditions, the samples of road accident black spots are obtained by the GA-BP neural network algorithm. Furthermore, an effective road traffic accident black spot prediction model is established by utilizing rough set theory with consideration of the impact of real time dynamic conditions. Finally, a numerical example is illustrated. Experimental results show that the proposed model with the combination of these two theories can reduce the hybrid and burdensome amount of data, lower the false alarm rate and improve the forecasting accuracy of accident black spots.

scholarly journals Systemic approach to auditing road traffic accident black spots

2020 ◽  
Vol 50 ◽  
pp. 330-336
Author(s):  
Elena Kurakina ◽  
Pavel Kravchenko ◽  
Ilya Brylev ◽  
Jaroslaw Rajczyk
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Road Traffic ◽  
Systemic Approach ◽  
Black Spots

scholarly journals Traffic Accident Data Analysis at Section from Sarai Khawaja to Old Faridabad of New Nh-44 (Old Nh-2) Including Bypass in Harayana Using GIS

2019 ◽  
pp. 87-96
Author(s):  
Sandeep Tewatia
Keyword(s):  
Traffic Accident ◽  
Black Spot ◽  
Severity Index ◽  
Data Bank ◽  
High Rate ◽  
Police Station ◽  
Black Spots ◽  
Accident Data ◽  
Serious Injury ◽  
Gis Software

The main object of this study is to discuss the present state of traffic accident information of study area (Area under Old Faridabad and Sector-31 Faridabad Police station). It shall discuss the Identification of high rate accident locations and safety deficient areas on the highway by analysing accident data bank for the study area extracted from Police FIR records for the year 2015 to 2018 with the help of GIS software. The Severity index of every accident is calculated using proportionate weightage of fatal, serious injury, minor injury and property damage only and Severity Index is used in spatial analysis. Eleven numbers of black spot locations have been identified and ranked on NH-44 section (old NH-2) including bypass in Faridabad, Haryana. Also, various remedial measures to those accidental locations (Black Spots) have been suggested.

scholarly journals POTENTIAL FOR IMPROVING THE PROCEDURE OF INSPECTING ROAD TRAFFIC ACCIDENT BLACK SPOTS

2020 ◽  
Vol 5 (3) ◽  
pp. 56-62
Author(s):  
Elena Kurakina ◽  
◽  
Sergei Evtiukov ◽  
Jarosław Rajczyk ◽  
◽  
...  
Keyword(s):  
Road Traffic Accident ◽  
Traffic Accident ◽  
Road Traffic ◽  
Black Spots
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