Najibeh Azizi; Reza Akbarigheibi
Abstract
Today, transportation is a category that every person has a direct relationship with, and along with the growth and development of cities, the need for public services and facilities has also increased. On the other hand, due to the increase in population, the road transport network, as well as vehicles, ...
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Today, transportation is a category that every person has a direct relationship with, and along with the growth and development of cities, the need for public services and facilities has also increased. On the other hand, due to the increase in population, the road transport network, as well as vehicles, which have caused serious transportation problems such as accidents, traffic and traffic violations, it is necessary for the government's investment policy to prioritize the use of solutions in order to reduce accidents and traffic violations. In this research, an attempt was made to investigate one of the speed management methods to reduce traffic violations and accidents in the main transit axes. In this research, the Zanjan-Khormadre transit axis and vice versa was investigated as the focus of the study for the effect of speed control cameras on the prevention of traffic violations and the reduction of road accidents, and SPSS software was used to analyze the data. To investigate the relationship between violations, accidents and speed control cameras, the significance of Pearson's correlation coefficient and linear regression was evaluated. Speed is in the mentioned axis, and also 73% of the reason for the reduction of traffic violations is the increase of speed control cameras, on the other hand, 88% of the number of accidents related to speed depends on the number of violations caused by speed. As a result, the existence of speed control cameras can be effective as one of the most important parts of speed management in all used programs.
Sayed Amin Nemati; Reza Amin; Ali Khodaii
Abstract
The present study focuses on the binary logit model for predicting the probability of driver fatalities in road accidents. The study utilizes data from road traffic accidents in Canada. These data were collected by the highway police in 2019 and recorded in the National Collison Database (NCBD). The ...
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The present study focuses on the binary logit model for predicting the probability of driver fatalities in road accidents. The study utilizes data from road traffic accidents in Canada. These data were collected by the highway police in 2019 and recorded in the National Collison Database (NCBD). The dependent variable in this model is the severity of accidents, which is a binary variable representing driver fatalities and injuries. The independent variables include vehicle types, vehicle age, days of the week, time intervals, same-direction and opposite-direction collisions, intersections, weather conditions, driver age, and gender. By analyzing the data and estimating the parameters, the model can predict up to 41% of the variations in the dependent variable. In the model validation stage, the data were divided into two parts, with 70% used for modeling and 30% for validation. McFadden's pseudo were used to evaluate the model's performance. The models were constructed using SPSS and Nlogit6.0 software. The results demonstrate that the model fits well with the data and has the capability to predict changes in accident severity. Consequently, the study indicates that variables such as road dryness, midnight time interval, and vehicle age contribute to an increase in driver fatalities, while variables such as light duty vehicles, school buses, and same-direction collisions contribute to a reduction in fatalities.
Donya Tavakoli; Reza Amin; Ali Khodaii
Abstract
Every year, a significant number of our compatriots in Iran are killed or injured in road accidents, resulting in heavy damages to society and the country. With population growth and road traffic, the financial costs of accidents are imposed on families and the government, in addition to the irreparable ...
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Every year, a significant number of our compatriots in Iran are killed or injured in road accidents, resulting in heavy damages to society and the country. With population growth and road traffic, the financial costs of accidents are imposed on families and the government, in addition to the irreparable psychological and social damages. Human factors, vehicles, roads, and natural elements are the main contributors to unsafe traffic conditions. The traffic safety index serves as a suitable measure for evaluating the safety level of countries. The objective of this research is to compare Iran's traffic safety index with that of Central and East Asian countries. When comparing Iran with East Asian countries, it should be noted that each country has its unique characteristics and approaches to road safety. East Asian countries such as South Korea, Japan, China, and Singapore have implemented various measures to address road safety issues, including infrastructure improvement, stricter regulations, advanced technologies, and public awareness campaigns. As a result, these countries have experienced varying degrees of success in reducing road accidents and casualties. Based on index calculations, Iran has unfavorable and concerning conditions compared to most Central and East Asian countries, and therefore, more attention and effort are needed to improve road safety and reduce the number of accidents.
Ahmad Fariullah Omid; Reza Amin; Ali Khodaii
Abstract
Road accidents pose a persistent challenge to transportation systems, costing approximately 3% of the gross national product of countries annually. In this research, a multinomial logit model (MNL) was employed to assess variables associated with accidents involving private cars, taxis, buses, motorcycles, ...
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Road accidents pose a persistent challenge to transportation systems, costing approximately 3% of the gross national product of countries annually. In this research, a multinomial logit model (MNL) was employed to assess variables associated with accidents involving private cars, taxis, buses, motorcycles, and bicycles. Private car accidents were considered as the reference category, and the multinomial logit model was used to create a more accurate and data-driven model. The results indicated that the use of bicycles and motorcycles had a higher likelihood of accidents compared to private cars, while buses and taxis had a lower likelihood. The data used in this study were collected by the Traffic Transport Organization of Manchester, England, from the years 2010 to 2021. The statistical software SPSS was utilized for model construction, and accidents were evaluated based on the type of vehicle. Out of the total of 21 variables used, 13 variables were found to have a significant impact in the model. The Log likelihood (LL) was employed to evaluate the models, resulting in a value of 58998.662 for the first model and 80427.09 for the second model. Considering the higher Log likelihood value in the second model, it was selected as the superior model in this research. The findings revealed that variables such as deviation from the route, personal trips, and driver gender contributed the most to accidents.
Mahdi MontazerSaheb
Volume 3, Issue 2 , May 2021, , Pages 11-21
Abstract
Driving in adverse environmental conditions is a challenge that accounts for a large proportion of deaths due to traffic accidents. The purpose of this article is to investigate the environmental factors affecting drivers' urban accidents. This article has been done by descriptive-analytical method and ...
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Driving in adverse environmental conditions is a challenge that accounts for a large proportion of deaths due to traffic accidents. The purpose of this article is to investigate the environmental factors affecting drivers' urban accidents. This article has been done by descriptive-analytical method and the results of this article show that factors such as: snow, rain, foggy weather, geometry of the place, and the type of area cause more cracks. Due to the focus of the traffic police on human factors and the application of the law and regulations on traffic and the relative control of human factors, this vacuum is felt in the country that policies and planning pay more attention to natural factors. They are effective in traffic accidents so that they can design corrections on the most influential factors. Improving the physical environment in driving will make the efforts of the country's traffic police to control the severity of injuries more visible.
