scholarly journals Online Traffic Accident Spatial-Temporal Post-Impact Prediction Model on Highways Based on Spiking Neural Networks

2021 ◽  
Vol 2021 ◽  
pp. 1-20
Author(s):  
Duowei Li ◽  
Jianping Wu ◽  
Depin Peng

Traffic accident management as an approach to improve public security and reduce economic losses has received public attention for a long time, among which traffic accidents post-impact prediction (TAPIP) is one of the most important procedures. However, existing systems and methodologies for TAPIP are insufficient for addressing the problem. The drawbacks include ignoring the recovery process after clearance and failing to make comprehensive prediction in both time and space domain. To this end, we build a 3-stage TAPIP model on highways, using the technology of spiking neural networks (SNNs) and convolutional neural networks (CNNs). By dividing the accident lifetime into two phases, i.e., clean-up phase and recovery phase, the model extracts characteristics in each phase and achieves prediction of spatial-temporal post-impact variables (e.g., clean-up time, recovery time, and accumulative queue length). The framework takes advantage of SNNs to efficiently capture accident spatial-temporal features and CNNs to precisely represent the traffic environment. Integrated with an adaptation and updating mechanism, the whole system works autonomously in an online manner that continues to self-improve during usage. By testing with a new dataset CASTA pertaining to California statewide traffic accidents on highways collected in four years, we prove that the proposed model achieves higher prediction accuracy than other methods (e.g., KNN, shockwave theory, and ANNs). This work is the introduction of SNNs in the traffic accident prediction domain and also a complete description of post-impact in the whole accident lifetime.

Author(s):  
Abdulmajeed Alamri ◽  
Tarek M. Esmael ◽  
Sami Fawzy ◽  
Hany Hosny ◽  
Saleh Attawi ◽  
...  

In this study, road traffic injury (RTI) was defined as any injury resulting from a road traffic accident irrespective of severity and outcome. Road traffic accident (RTA) was defined as any crash on the road involving at least one moving vehicle, irrespective of it resulting in an injury. This could include collision with a vehicle or any non`moving object while driving/riding a vehicle, collision with a moving vehicle while walking/running/standing/ sitting on the road, or fall from a moving vehicle. The burden of road traffic accidents (RTA) is a leading cause of all trauma admissions in hospitals worldwide. Road traffic injuries cause considerable economic losses to victims, their families, and to nations as a whole. These losses arise from the cost of treatment (including rehabilitation and incident investigation) as well as reduced/lost productivity (e.g. in wages) for those killed or disabled by their injuries and for family members who need to take time off work (or school) to care for the injured. Road traffic fatality in the Kingdom of Saudi Arabia (KSA) is the highest, accounts for 4.7% of all mortalities. Road injuries also are reported to be the most serious in this country, with an accident to injury ratio of 8:6. In this study, we try to focus on some causes of the accidents in KSA, so we can implement the prevention plan.


Author(s):  
. Urfi ◽  
Ali Amir ◽  
Salman Khalil ◽  
Mohd F. Hoda

Background: Road traffic accidents (RTAs) with the head injury warrants early treatment. The delay in receiving the specialized care adversely affects the outcome. Economic losses due to RTA with the Head Injury amount of Rs 550 crores (12.5 billion dollars), an amount that equals our defense budget. Insurance of vehicles and victims and compensation claims are related legal issues. The Objectives of the study were: 1. To analyze the delay in reaching the hospital following the Road Traffic Accident with Head Injury. 2. To study the pattern of pre-hospital treatment received. 3. To measure the socioeconomic and legal impact of Road Traffic Accident cases with Head Injury.Methods: A hospital based cross-sectional study was conducted in casualty and allied departments of Jawaharlal Nehru Medical College and Hospital, Aligarh. All cases of RTA with Head Injury admitted from August 2010 to July 2011 who were 15-45 years of age were included in the study using purposive sampling. Data was analyzed with SPSS 20.Results: A total of 463 patients were included in the study. Almost two-third of patients i.e. 315 (68.0%) were brought to hospital within 6 hours and the remaining 148 (32.0%) reached hospital after lapse of 6 or more hours. Of all patients who reached hospital before 6 hours, only 70 males and 10 females received some form of pre-hospital treatment. The mean expenditure during hospital stay was Rs.3663.71. About 51.6% of patients had to stay for 1-3 days in hospital following a head injury. As many as three-fourth of vehicles involved in accident were insured while just 14.3% of patients were insured. Only 5 (1.1%) out of the 463 patients applied for compensation till the time of interview.Conclusions: Reaching hospital early has direct bearing on final outcome of accidents. RTAs with Head Injury lead to variable out-of-pocket expenditure for patients and their attendants. Majority of victims do not have insurance, though insurance of vehicles is a common practice.


2017 ◽  
Vol 1 (1) ◽  
Author(s):  
Laras Astuti

Traffic accidents can occur in children. Delinquency due to reckless driving does notrespect fellow road users often make children vulnerable to traffic accidents. This study aims to determine the form of the protection of children in conflict with the law which caused the death of another person along with recovery efforts. This research is normative juridical approach statute approach. The results showed that children in conflict with the legal form of the solution is to use a system of diversion is to perform the transfer of the case out of the criminal justice system. Restorative justice approach is used to emphasize the recovery process into its original state in order to fulfill therights and obligations of both the children in facing law conflict. Recommendations arechildren in conflict with the law should be given protection in order to return in its original state both physically and psychologically so that kids really can again becomea better person and not repeat their delinquency again.Key Words: Children, Traffic accident, Legal protection


BMJ ◽  
2020 ◽  
pp. m4465
Author(s):  
Kai Chi Yam ◽  
Joshua Conrad Jackson ◽  
Jenson Lau ◽  
Xin Qin ◽  
Christopher M Barnes ◽  
...  

Abstract Objective To investigate the association between popular football games played in Europe and the incidence of traffic accidents in Asia. Design Study based on 41 538 traffic accidents involving taxis in Singapore and 1 814 320 traffic accidents in Taiwan, combined with 12 788 European club football games over a seven year period. Setting Singapore and Taiwan. Participants The largest taxi company in Singapore, with fine grained traffic accident records in a three year span; all traffic accident records in Taiwan in a six year span. Exposure Days when high profile football games were played or not played. Main outcome measure Number of traffic accidents. Results Regression based and time series models suggest that days with high profile European football matches were more positively associated with traffic accidents than days with less popular European football matches. For an approximate €134.74m (£120.25m; $159.76m) increase in average market value for matches played on a given day, approximately one extra accident would occur among Singapore taxi drivers, and for an approximate €7.99m increase in average market value of matches, approximately one extra accident would occur among all drivers in Taiwan. This association remained after control for weather conditions, time of the year, weekend versus weekday effects, driver demographics, and underlying temporal trends. It was also stronger for daytime traffic accidents than for night time traffic accidents, suggesting that the association between high profile football matches and traffic accidents cannot be attributed to night time celebration or attention deficits while watching and driving. Annually, this increased rate of traffic accidents may translate to approximately 371 accidents among taxi drivers in Singapore and approximately 41 079 accidents among the Taiwanese public, as well as economic losses of approximately €821 448 among Singapore taxi drivers and approximately €13 994 409 among Taiwanese drivers and insurers. The total health and economic impact of this finding is likely to be much higher because GMT+8 is the most populous time zone, encompassing 24% of the world’s population. Conclusions Days featuring high profile football matches in Europe were associated with more traffic accidents in Taiwan and Singapore than were days with lower profile football matches. A potential causal mechanism may be Asian drivers losing sleep by watching high profile European matches, which are often played in the middle of the night in Asia.


Author(s):  
Galal A. Ali ◽  
Saleh M. Al-Alawi ◽  
Charles S.Bakheit

Traffic accidents are among the major causes of death in the Sultanate of Oman This is particularly the case in the age group of I6 to 25. Studies indicate that, in spite of Oman's high population-per-vehicle ratio, its fatality rate per l0,000 vehicles is one of the highest in the world. This alarming Situation underlines the importance of analyzing traffic accident data and predicting accident casualties. Such steps will lead to understanding the underlying causes of traffic accidents, and thereby to devise appropriate measures to reduce the number of car accidents and enhance safety standards. In this paper, a comparative study of car accident casualties in Oman was undertaken. Artificial Neural Networks (ANNs) were used to analyze the data and make predictions of the number of accident casualties. The results were compared with those obtained from the analysis and predictions by regression techniques. Both approaches attempted to model accident casualties using historical  data on related factors, such as population, number of cars on the road and so on, covering the period from I976 to 1994. Forecasts for the years 1995 to 2000 were made using ANNs and regression equations. The results from ANNs provided the best fit for the data. However, it was found that ANNs gave lower forecasts relative to those obtained by the regression methods used, indicating that ANNs are suitable for interpolation but their use for extrapolation may be limited. Nevertheless, the study showed that ANNs provide a potentially powerful tool in analyzing and forecasting traffic accidents and casualties.


2018 ◽  
Vol 9 (08) ◽  
pp. 20531-20536
Author(s):  
Nusrat Shamima Nur ◽  
M. S. l. Mullick ◽  
Ahmed Hossain

Background: In Bangladesh fatality rate due to road traffic accidents is rising sharply day by day. At least 2297 people were killed and 5480 were injured in road traffic accidents within 1st six months of 2017.Whereas in the previous year at 2016 at least 1941 people were killed and 4794 were injured within the 1st six months. No survey has been reported in Bangladesh yet correlating ADHD as a reason of impulsive driving which ends up in a road crash.


2012 ◽  
Vol 35 (12) ◽  
pp. 2633 ◽  
Author(s):  
Xiang-Hong LIN ◽  
Tian-Wen ZHANG ◽  
Gui-Cang ZHANG

2020 ◽  
Vol 121 ◽  
pp. 88-100 ◽  
Author(s):  
Jesus L. Lobo ◽  
Javier Del Ser ◽  
Albert Bifet ◽  
Nikola Kasabov

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