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Since a significant percentage of crashes occur at black spots, different methods have been proposed to prioritize the modification of these spots and prevent crashes. One of these prevention methods in transportation is the hazard warning systems. The purpose of this study is to evaluate the satisfaction of drivers and their affectability from a map-based warning application is evaluated. To this end, black spots were identified on one of the two-way two-lane highways in the North-West of Iran and 32 male drivers were tested in the intervention group (warning state) and the control group (non-warning state). The evaluation of the warning application was done in two steps. In the first stage, drivers’ affectability between the two groups was compared, where average speed and number of speed limit violations were studied in warning and non-warning states. In the second stage, drivers' satisfaction with application features was examined using questionnaires. The findings showed that the difference in mean speeds at black spots between warning and non-warning states was significant with 95% confidence level and the use of warning application was effective in reducing the number of drivers with speed limit violations at black spots. Most drivers were highly content with the warning from car speakers, advisory warnings and warning distance from black spot, and did not have enough satisfaction with visual warnings, the application installation procedure, and warnings from smartphone speakers. Additionally, the results of the questionnaire revealed that not only warnings did not cause distraction for the drivers, they were effective in increasing their caution. These findings can be used to eliminate the shortcomings of the hazard warning application.

Rollover crash is a type of dangerous crash that occurs often in two-lane highways. Therefore, this study evaluates the effect of road shoulder and weather condition on rollover crashes. Crash data show that 8,609 crashes were recorded from 2006 to 2009 on six two-lane highways located at the center of Iran. This data contains 1860 rollover crashes. Rollover crash in this paper not included the head on crashes and fixed object crashes. Therefore the rollover crashes are only single vehicle crashes. Binary logit was selected for modelling since there were two possible outcomes: rollover crashes and other crash types. The variables of the final model include highway class, road shoulder width, as well as rainy, snowy, foggy and night conditions. The modeling results show that rainy and foggy variables, with coefficients of 0.731 and 0.719 respectively, had the greatest effects on rollover crash occurrence. Also, road shoulder width and night conditions, with coefficients of 0.221 and 0.184 respectively, had the least effects on rollover crash occurrence. Afterward, sensitivity analysis was performed on all the independent variables, and the results show variable variation and indicate that the probability of rollover crash occurrence is 21.29 % on the mentioned highway.

Traffic crashes are a social problem around the world and climate change is one of the major environmental factors that cause road crashes. The severity of multi-vehicle crashes under different weather conditions was investigated in this study. Crash data for three levels of crash severity (i.e. crashes involving property damage only (PDO), injury or fatality) from six highways in Iran were evaluated. Ordered logit models were selected for the analysis because of the ordinal nature of crash severity. The final model consists of seven independent variables: temperature below −7°C, temperature above 19°C, rainfall exceeding 5 mm/d, working day of the week, density (vehicles/km), roadside equipment and season of the year. These variables were found to have significant values at 0·95 confidence intervals. The model also showed that the probability of occurrence of a PDO crash is 77·5%, while the probability of occurrence of injury and fatal crashes are 18·9% and 3·6%, respectively.

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The current study evaluated road crashes in three categories of drivers: passenger car drivers, heavy vehicle drivers and pickup truck drivers. The crash data of road crashes that occurred from 2009 to 2012 in Iranian suburban roads were analyzed. The crashes involved 194,041 damage, 9,677 injury and 1,303 fatality crashes. Because of the ordinal nature of crash severity, ordered logit model was selected for each vehicle driver category. In the passenger car driver category, the independent variables of driver’s gender, driver’s age and driver’s educational level (uneducated, less than high school diploma, high school diploma) were obtained for modeling; in the heavy vehicle driver category, the independent variables of driver’s age and driver’s educational level (uneducated, less than high school diploma) were obtained for modeling, and in the pickup truck driver category, the independent variables of driver’s age and driver’s educational level (uneducated, high school diploma) were obtained for modeling. The variable of driver’s gender with respect to passenger cars shows that crashes by female drivers are more severe than those involving male drivers in suburban roads. Regarding the variable of driver’s age, if the driver’s age increases in each vehicle driver category, the probability of occurrence of a severe crash will decrease. The variable of driver’s educational level shows that the severity of crashes involving a driver that has a low level of education is more compared with a driver that has a high level of education.

Background: A Based on the World Health Organization's reporting, over 1.25 million people die annually in traffic accidents worldwide. Traffic accidents are the ninth main cause of death worldwide, with an average age range of victims of 15 to 29. Broadly speaking, 90% of traffic accidents happen in the lowand middle-income countries that comprise 82% of the global population, and these countries account for half of the world's vehicles. One of the goals of the National Road Traffic Knowledge Development Trustee is to plan and implement training courses (content design, design and implementation and evaluation) for target groups. To achieve this goal and due to the lack of academic programs on traffic safety in Iran, a single-credit course, "Safety and Traffic," was developed to be run as a compulsory academic course in all universities across the country. Methods: This course was administered as a national pilot study in four phases and in 17 medical universities across the country. All experts and national authorities in the Ministry of Science and the Ministry of Health and Medical Education were requested to provide feedback. Afterwards, the results and comments were forwarded to the Supreme Council of Cultural Revolution for further investigation. Upon approval of the Council, the course will be implemented in all universities across the country. Results: Results from the pre-test showed that the level of students' knowledge was low before attending the training courses. Surveys also revealed that the two items of "pedestrian safety" and "first aids in RTCs" were the most useful and applicable subjects. The percentage of wrong answers ranged from 61 to 98%. Conclusion: Considering the importance of traffic accidents and people's role in traffic-related issues, it seems that it is necessary to provide university courses for traffic safety education.

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