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Traffic accident on inter-city expressways might cause large-scale traffic congestion. It might increase travel times of many drivers and it produces a large social loss. This study aims to estimate the social loss of travel time of drivers caused by traffic accidents on inter-city expressway using traffic simulation model, and to evaluate the effects of outflow recommendations when an accident occurs on the expressway. The traffic simulation model on Tomei Expressway is constructed to estimate the dynamic traffic congestion. Travel time losses of drivers are estimated by the simulation results with hypothetical traffic accidents. It is understood that the total losses of travel times are depending on the positions of accident spots and the occurrence times of accidents, because it might influence to congestion at the bottlenecks of flow capacity. Moreover, the effect of traffic control in emergency situation is discussed. The influences of outflow recommendations for drivers are estimated using the traffic simulation model.

The purpose of this paper is to propose a framework methodology for the assessment and improving accident data collection and analysis in the Kingdom of Saudi Arabia (KSA).

A proposed framework methodology for accident reduction by an integrated process which includes a risk identification, assessment and reduction process is proposed for Tabuk city in KSA.

Tabuk city has a high accident rate. The proposed framework can improve the process of accident data collection and analysis and identify hot spot locations and accident severity.

It has been estimated that the annual cost of traffic accidents in Saudi Arabia exceeds six billion US dollars, in addition to other social, health and economic impacts, such as disability, rehabilitation and unemployment due to traffic accident injuries. There are not many studies, if any, in Tabuk in KSA on the investigation and development of a framework for accident reduction.

Studying the relationship between crime and traffic accidents in different geographical regions is very critical since varying relationships have been reported to exist in diverse areas. The purpose of this paper is to determine the relationship between crime with injuries and deaths due to road traffic accidents in Iran.

In this study, macro-level panel data between 2007 and 2013 were used. The number of folders due to crimes in each province was used as explanatory variables to show the amount of crime in each province. The number of fatal and injury death was used as outcome variables. The models were estimated using fixed effect panel regression estimator.

The results of this study showed that the number of records in courts (Cr) had a significant positive relationship with fatal accidents (coefficient=0.006). In the injury accidents model, Cr coefficient was 0.008 and significant. In addition, GINI had positive relationship with fatal accidents (coefficient: 1.396), while it had no significant relationship with injury accidents.

A positive association was found between crime and mortalities and morbidities due to traffic accidents. Traffic accidents and crimes are derived from a similar nature. So traffic accidents could be categorized as crime and it is important to increase more prohibitions to decrease traffic accidents. Prevention programs should focus on population groups with high social distinction and criminals, especially traffic offenses.