The Model of Severity Prediction of Traffic Crash on the Curve

Xi, Jianfeng; Liu, Hai-zhu; Wei, Cheng; Zhao, Zhonghao; Ding, Tongqiang

doi:10.1155/2014/832723

Cited by 10 publications

(6 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Considering the severity of the crash to be a dichotomous dependent variable, x1, x2, …xp are its corresponding independent variables, logit model may be established as; [20].…”

Section: Logistic Regression Analysismentioning

confidence: 99%

Risk Factors of Crashes Involving Motorcycles in Sri Lanka

Amarasingha

2021

J. S. Asian Logistics Transport

View full text Add to dashboard Cite

Motorcycle is among the most popular and important modes of land transportation in tropical developing countries like Sri Lanka. Yet, research on the effect of motorcycles on traffic safety in Sri Lanka is limited.Investigation of the risk factors and contributory causes of motorcycle crashes using data sourced from Police records was the objective of this research. Police-reported crash data in Sri Lanka contain details of crashes at all severity levels that got reported, together with their corresponding different conditions, including environment, roadway, rider, and vehicle characteristics, throughout the country. Investigating the odds-ratios, the risk factors for motorcycle crashes could be identified in developing the potential counter-measures to improve traffic safety.In Sri Lanka, during 2009-2013, more than 200,000 of motorcycle crashes have been reported. The predominant crash conditions associated with motorcycles were driving on rural roadways, during weekdays, and riding newer motorcycles. The odds-ratios indicated that riding a motorcycle on dry surface conditions, on urban roads, and using safety helmets would be much safer.The results of the study add new insights to the traffic safety literature in regard to improving road safety in Sri Lanka.

show abstract

“…Considering the severity of the crash to be a dichotomous dependent variable, x1, x2, …xp are its corresponding independent variables, logit model may be established as; [20].…”

Section: Logistic Regression Analysismentioning

confidence: 99%

Risk Factors of Crashes Involving Motorcycles in Sri Lanka

Amarasingha

2021

J. S. Asian Logistics Transport

View full text Add to dashboard Cite

show abstract

“…Apart from that, slippery road has been reported to lead the accident causation especially in US and several other countries like Finland, Malaysia and Iran [10,[12][13][14][15][16]. Moreover, three studies conducted in China and a study conducted in Malaysia reported that asphalt-paved road with smoother surface is also prone to cause road accident [17][18][19][20]. The accident severity can become even worst when driving on the wet, slippery and smoother road surface especially when the tires tread wear.…”

Section: Road Faultymentioning

confidence: 99%

“…The situation is worsening for the motorcyclists since riding on uneven road can cause them to loss balance and fall from their motorcycles [15]. Finally, other road surface qualities such as dry and frictional surface can also significantly lead towards accident [18,22,23].…”

Section: Road Faultymentioning

confidence: 99%

Technical Determinant of Road Accident: A Systematic Review

Harith¹,

Mahmud²

2018

IJET

View full text Add to dashboard Cite

Road accident statistics has been reported increasing over the years and become one of the significant death contributors worldwide. In response towards this issue, appropriate countermeasures need to be outlined. Proposing a preventive plan requires comprehensive understanding on factors behind the occurrence of road accident. Therefore, this review paper aimed at investigating the factors behind the occurrence of road accident focusing on the technical factors. A review over five academic databases such as Emerald, ScienceDirect, Scopus, Web of Science and Wiley Online Library has been conducted leading towards an overall finding of 2462 related records. After screening and reviewing the records, only 38 studies were included. The result of the review indicated several technical factors in terms of road and vehicle faulty toward the occurrence of road accident.

show abstract

“…Frequently used techniques are: 1) logistic regression, 2) multinomial logit or nested logit model also known as unordered Siddique 149 response model and 3) ordered response model widely known as ordered probit or logit model. Xi et al (2014) studied the influence of road geometric element (at curve segment) on road crash severit, using logistic regression model. The investigation analyses the accident data based on 15 evaluation indicator including driver, driving conditions and traffic factors.…”

Section: Literature Reviewmentioning

confidence: 99%

Accident severity analysis on national highways in Bangladesh using ordered probit model

Siddique¹

2018

Sci. Res. Essays

View full text Add to dashboard Cite

National Highways of Bangladesh, where majority of fatal accident takes place, are considered as the accident-prone location. Statistics revealed that despite some major initiatives undertaken to improve road safety, death rate at National Highways of Bangladesh is quite high compared to other developed as well as developing nations. To understand the relationship between injury severity and accident factors, investigation concentrate on different influential factors are responsible for injury severity. Micro Computer Accident Analysis Packages (MAAP5), data of Bangladesh Police from 2004-2015, is used in this investigation to identify the probability of fatal and grievous injury. Preliminary analysis revealed that almost 80% accident recorded as fatal accident and majority of the accidents occurred in fair-weather condition, at straight portion of the road, in non-rush hour and in broad daylight. Conversely, three level of injury severity (dependent variables) was considered in the econometric analysis namely, fatal, grievous and simple injury. Ordered Probit Model examined the dependent variables based on several explanatory variables such as time factors, road geometry, environmental conditions, vehicle categories, driver attitudes, passenger and pedestrian behavior. Considering different level of independent variables, it is found that under the heading of "collision type", "hit Pedestrian" is the statistically significant variable that creates severe injury. Considering vehicle characteristics, non-motorized vehicle, bus and motorcycle was found to be the most vulnerable group of road users in Bangladesh and the probability of fatal injury is much higher for vehicle with multiple defects. This investigation also pointed on some remedial measures that will help the decision maker to set up long as well as short term strategies. For instance, installation of physical barrier at the accidentprone location will minimize the pedestrian fatalities and isolation of non-motorized vehicle and motorcyclist from main carriageway, which would dramatically reduce injury severity on highways. Finally, this investigation also provides some specific guideline for future steps on injury severity analysis in Highways of Bangladesh.

show abstract

The Model of Severity Prediction of Traffic Crash on the Curve

Cited by 10 publications

References 12 publications

Risk Factors of Crashes Involving Motorcycles in Sri Lanka

Risk Factors of Crashes Involving Motorcycles in Sri Lanka

Technical Determinant of Road Accident: A Systematic Review

Accident severity analysis on national highways in Bangladesh using ordered probit model

Contact Info

Product

Resources

About