Analysis and Countermeasure of Traffic Accidents in a Dalians Transportation Group

2014 ◽  
Vol 501-504 ◽  
pp. 2436-2440
Author(s):  
Jin Yao Li
Keyword(s):  
Traffic Accident ◽  
Traffic Accidents ◽  
Regional Difference ◽  
Safety Management ◽  
Weather Conditions ◽  
Accident Analysis ◽  
Prevention Measures ◽  
Safety Education ◽  
Climatic Characteristics ◽  
And Training

Nowadays, traffic accidents have become one of the ten major threats to human health, and reducing the damage to life and property has been the people's demands. Traffic accident analysis has its inherently regional difference. The main objectives of this paper is to conduct investigation and statistical analysis on the weather conditions, month, week, hour, road environment, the drivers age and driving-age of the accidents, based on the traffic accidents records of a Dalians transportation group from 2008 to 2012. According to the acquired statistics and countering the geographical and climatic characteristics of Dalian area, this paper put forward traffic accident prevention measures proposed for Dalian area:Timely safety education and training for the drivers, establishing enterprise safety culture and establishing and improving the safety management system of modern traffic.

scholarly journals Methodology Designed to Evaluate Accidents at Intersection Crossings with Respect to Forensic Purposes and Transport Sustainability

2020 ◽  
Vol 12 (5) ◽  
pp. 1972 ◽  
Author(s):  
Igor Dirnbach ◽  
Tibor Kubjatko ◽  
Eduard Kolla ◽  
Ján Ondruš ◽  
Željko Šarić
Keyword(s):  
Traffic Accident ◽  
Traffic Accidents ◽  
Road Transport ◽  
Simulation Software ◽  
Accident Analysis ◽  
Simulation Tools ◽  
Traffic Lights ◽  
Analytical Simulation ◽  
Precise Analysis ◽  
Analytical Approaches

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.

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 Traffic accident analysis based on C4.5 algorithm in WEKA

2019 ◽  
Vol 272 ◽  
pp. 01035 ◽  
Author(s):  
Jiajia Li ◽  
Jie He ◽  
Ziyang Liu ◽  
Hao Zhang ◽  
Chen Zhang
Keyword(s):  
Traffic Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Safety Management ◽  
Depth Information ◽  
Highway Traffic ◽  
Safety Issues ◽  
C4.5 Algorithm ◽  
Accident Data ◽  
The Impact

At present, China is in a period of steady development of highways. At the same time, traffic safety issues are becoming increasingly serious. Data mining technology is an effective method for analysing traffic accidents. In-depth information mining of traffic accident data is conducive to accident prevention and traffic safety management. Based on the data of Wenli highway traffic accidents from 2006 to 2013, this study selected factors including time factor, linear factor and driver characteristics as research indicators, and established the decision tree using C4.5 algorithm in WEKA to explore the impact of various factors on the accident. According to the degree of contribution of each variable to the classification effect of the model, various modes affecting the type of the accident are obtained and the overall prediction accuracy is about 80%.

scholarly journals Construção de uma cartilha sobre educação no trânsito para adolescentes

2018 ◽  
Vol 12 (10) ◽  
pp. 2737
Author(s):  
Luana Passos Lessa ◽  
Renata Kelly dos Santos e Silva ◽  
Gabriela Araújo Rocha ◽  
Jéssica Denise Vieira Leal ◽  
Ana Klisse Silva Araújo ◽  
...  
Keyword(s):  
Public Health ◽  
Health Education ◽  
Qualitative Study ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Accident Prevention ◽  
Teaching Material ◽  
Prevention Measures ◽  
Subsequent Phase ◽  
Prevention Method

RESUMOObjetivo: construir uma cartilha educativa para adolescentes sobre prevenção de acidentes de trânsito. Método: trata-se de estudo qualitativo, do tipo metodológico, que se conduziu por fases: iniciou-se com uma revisão narrativa acerca das medidas de prevenção e epidemiologia dos acidentes de trânsito no Brasil e, posteriormente, confecção do texto, layout e imagens do conteúdo proposto na cartilha. Resultados: dividiu-se a cartilha em partes: pedestres, ciclistas, motociclistas e motoristas, sinalização e dicas de trânsito. Para cada componente descreveram-se meios de comportamento no trânsito acompanhados de ilustrações. Conclusão: construiu-se a cartilha que se apresenta como novo material de ensino nas atividades de educação em saúde com foco para a prevenção de acidentes de trânsito. Ressalta-se que em fase subsequente será submetida ao processo de validação de conteúdo e aparência. Descritores: Educação em Saúde; Acidentes de Trânsito; Adolescentes; Saúde Pública; Prevenção de Acidentes; Promoção de Saúde.ABSTRACTObjective: to build an educational booklet for adolescents on traffic accident prevention. Method: this is a qualitative study of the methodological type conducted by phases: initiated by a narrative review about the prevention measures and epidemiology of traffic accidents in Brazil, and later confection of the text, layout, and images of the contents proposed in the booklet. Results: the booklet was divided into parts: pedestrians, cyclists, motorcyclists and drivers, signage and traffic tips. For each component, means of behavior in traffic were described along with illustrations. Conclusion: the booklet was built and a new teaching material in health education activities was shown, focusing on the prevention of traffic accidents. It is emphasized that in the subsequent phase, the booklet will be submitted to the process of validation of content and appearance. Descriptors: Health Education; Traffic Accidents; Adolescent; Public Health; Accident Prevention; Health Promotion.RESUMENObjetivo: construir una cartilla educativa para adolescentes sobre prevención de accidentes de tránsito. Método: estudio cualitativo del tipo metodológico conducido por fases: iniciado por una revisión narrativa acerca de las medidas de prevención y epidemiologia de los accidentes de tránsito en Brasil, y posteriormente confección del texto, layout e imágenes del contenido propuesto en la cartilla. Resultados: la cartilla fue dividida en partes: pedestres, ciclistas, motociclistas y motoristas, señalización y consejos de tránsito. Para cada componente fueron descritos medios de comportamiento en el tránsito acompañados de ilustraciones. Conclusión: la cartilla fue construida y se presenta como nuevo material de enseñanza en las actividades de educación en salud, con enfoque para la prevención de accidentes de tránsito. Se resalta que en fase subsecuente será sometida al proceso de validación de contenido y apariencia.  Descriptores: Educación en Salud; Accidentes de Tránsito; Adolescente; Salud Pública; Prevención de Accidentes; Promoción de la Salud.

scholarly journals Railway Traffic Accident Forecast Based on an Optimized Deep Auto-encoder

2018 ◽  
Vol 30 (4) ◽  
pp. 379-394 ◽  
Author(s):  
Fenling Feng ◽  
Wan Li ◽  
Qiwei Jiang
Keyword(s):  
Traffic Accident ◽  
Traffic Accidents ◽  
Safety Management ◽  
Gray Relational Analysis ◽  
Railway Transportation ◽  
Accident Prediction ◽  
Railway Traffic ◽  
Complex Relationships ◽  
Hidden Layer ◽  
Searching Ability

Safety is the key point of railway transportation, and railway traffic accident prediction is the main content of safety management. There are complex nonlinear relationships between an accident and its relevant indexes. For this reason, triangular gray relational analysis (TGRA) is used for obtaining the indexes related to the accident and the deep auto-encoder (DAE) for finding out the complex relationships between them and then predicting the accident. In addition, a nonlinear weight changing particle swarm optimization algorithm, which has better convergence and global searching ability, is proposed to obtain better DAE structure and parameters, including the number of hidden layers, the number of neurons at each hidden layer and learning rates. The model was used to forecast railway traffic accidents at Shenyang Railway Bureau, Guangzhou Railway Corporation, and Nanchang Railway Bureau. The results of the experiments show that the proposed model achieves the best performance for predicting railway traffic accidents.

scholarly journals Study on the influence of skid resistance on traffic safety of highway with a high ratio of bridges and tunnels

2021 ◽  
Vol 3 (4) ◽  
Author(s):  
Yongjie Ding ◽  
Danni Li ◽  
Mingxuan Huang ◽  
Xuejuan Cao ◽  
Boming Tang
Keyword(s):  
Correlation Analysis ◽  
Traffic Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Prediction Models ◽  
Back Propagation ◽  
Weather Conditions ◽  
High Ratio ◽  
Skid Resistance ◽  
The Relationship

ABSTRACT The safety of highways with a high ratio of bridges and tunnels is related to multiple factors, for example, the skid resistance of the pavement surface. In this study, the distribution of accidents under different conditions was calculated to investigate the relationship between the road skid resistance and the incidence of traffic accidents based on the traffic accident data of the Yuxiang highway. Statistical results show that weather conditions and road alignment may affect traffic accidents. The correlation analysis method was used to study the relationship between three factors and traffic accidents. The results show that road alignment, weather conditions and road skid resistance are related to the incidence of traffic accidents. The traffic accident prediction models were established based on back propagation neural network to verify the correlation analysis results. It is confirmed that road alignment, weather conditions and road skid resistance are the factors that affect traffic accidents.

scholarly journals A Novel Framework to Use Association Rule Mining for classification of traffic accident severity

2017 ◽  
Vol 13 (21) ◽  
pp. 37-44 ◽  
Author(s):  
Meenu Gupta ◽  
Vijender Kumar Solanki ◽  
Vijay Kumar Singh
Keyword(s):  
Association Rule ◽  
Association Rule Mining ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Prevention Measures ◽  
Rule Mining ◽  
Data Set ◽  
Accident Severity ◽  
Institute Of Technology

Introduction: Traffic accidents are an undesirable burden on society. Every year around one million deaths and more than ten million injuries are reported due to traffic accidents. Hence, traffic accidents prevention measures must be taken to overcome the accident rate. Different countries have different geographical and environmental conditions and hence the accident factors diverge in each country. Traffic accident data analysis is very useful in revealing the factors that affect the accidents in different countries. This article was written in the year 2016 in the Institute of Technology & Science, Mohan Nagar, Ghaziabad, up, India. Methology: We propose a framework to utilize association rule mining (arm) for the severity classification of traffic accidents data obtained from police records in Mujjafarnagar district, Uttarpradesh, India. Results: The results certainly reveal some hidden factors which can be applied to understand the factors behind road accidentality in this region. Conclusions: The framework enables us to find three clusters from the data set. Each cluster represents a type of accident severity, i.e. fatal, major injury and minor/no injury. The association rules exposed different factors that are associated with road accidents in each category. The information extracted provides important information which can be employed to adapt preventive measures to overcome the accident severity in Muzzafarnagar district.

Time Distribution and Analysis of Traffic Accident Fatalities

2013 ◽  
Vol 361-363 ◽  
pp. 2308-2314
Author(s):  
Lv Wen Qu ◽  
Mei Wei Dai ◽  
Fu Jian Wang ◽  
Zhi Yuan Zeng
Keyword(s):  
Traffic Safety ◽  
Time Distribution ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Statistical Data ◽  
Road Traffic ◽  
Road Traffic Accidents ◽  
Safety Education ◽  
Death Toll ◽  
High Incidence

According to hourly statistical data of road traffic accidents death toll during 1999~2004 of Zhejiang province, we found the death toll concentration phenomenon which is called phenomenon of 17 to 20 o'clock. And we discussed causes of high incidence of traffic accidents during 17 to 20 o'clock and put forward the corresponding countermeasures to reduce traffic accidents, according to the distribution pattern of deaths gender, age, travel purpose during these hours. The results of this research provide the foundation for reinforcing the traffic safety education and management.

The Characteristics of Traffic Accident Perpetrators in China and Countermeasure Analysis

2013 ◽  
Vol 409-410 ◽  
pp. 1047-1052
Author(s):  
Jun Jun Zou ◽  
Chuan Jiao Sun
Keyword(s):  
Traffic Safety ◽  
Road Safety ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Human Factor ◽  
Safety Education ◽  
Driving Experience ◽  
Main Factors

In the context of rapid increase in car drivers and all citizens being drivers, the driving experience of traffic accident perpetrators has showed a shorter trend. The driver is an important factor that influences the traffic accident, and the drivers behaviors such as speeding, driving on wrong lane and others are the main factors causing traffic accidents. As for the human factor influencing the traffic safety, it is very important to conduct road safety education and publicity work.

The Relationship between the Traffic Accidents and Meteorological Condition on Beijing-Tianjin-Tanggu Expressway

2012 ◽  
Vol 188 ◽  
pp. 300-307
Author(s):  
De Ping Ding ◽  
Zhi Cong Yin ◽  
Xun Li ◽  
Zhuang Xie
Keyword(s):  
Correlation Coefficient ◽  
Traffic Accident ◽  
Traffic Accidents ◽  
Meteorological Data ◽  
Meteorological Condition ◽  
Temporal Distribution ◽  
Weather Conditions ◽  
Adverse Weather ◽  
Two Peaks ◽  
The Relationship

Abstract. Based on the monthly datasets, including the number of traffic accidents, casualties and meteorological data, the relationship between the traffic accidents and meteorological conditions is studied. The results are as follows: (1) There are two peaks of the number of traffic accidents, which are the saddle-shaped peak from Apr to Jun and the second peak in Oct respectively. The number of traffic accidents in February is the least. The temporal distribution of the casualty is different from that of traffic accident. Most casualties happened in Jul. and the second in Apr. and Oct. The susceptibility of traffic accident and casualty in Hebei, Beijing and Tianjin decreased successionally from high to low. (2) A new result is obtained: in comparison with the number of traffic accidents, the correlation between meteorological condition and casualty is higher. The main reason is that the adverse weather conditions always cause drivers fail to control the vehicle or to make right decision. Therefore, the accident causing casualty should be focused on while the monthly weather-related accident is discussed. (3) The correlation coefficient between the number of casualty and precipitation or relative humidity is significantly positive. Otherwise, the correlation coefficient between the number of casualty and visibility or pressure is significantly negative.

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