رضا اکبری غیبی

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.

Traffic accidents usually cause not only significant human casualties, but also significant economic losses. Therefore, the prevention of traffic accidents to maintain public safety and reduce economic losses is the concern of the countries of the world. Macro-level road safety studies provide the possibility of identifying influential factors that play an important role in creating safety policies for vehicle drivers. The development of appropriate statistical methods for the analysis of traffic accident data is a fundamental line of research in the field of traffic safety analysis. The main purpose of this study is to investigate the effective factors in the occurrence of traffic accidents in accident-prone areas within the city. Also, appropriate solutions were presented to prevent accidents caused by traffic violations, which is one of the important parameters. The studied area is from Imam Hussain Boulevard to Navab Crossroad, which was extracted based on the available information, including the number of accidents with damage, injury and death, and traffic violations in a 4-year period (2019-2022) in the Highway Police. SPSS software was used to analyze the data. Due to the small amount of data, Pearson's correlation coefficient was used to measure the relationship, and due to the acceptance of linear relationship between research variables, linear regression was used to find the relationship equation. The results showed that 82% of the causes of accidents in the mentioned area are traffic violations. And most of the main causes of accidents are, in order, failure to pay attention to the front 41%, failure to respect the right of way 28%, sudden change of direction 16%, failure to observe the horizontal distance 11% and failure to observe the longitudinal distance 4%. Also, the increase in accidents can be prevented by providing solutions such as police presence, law enforcement, installation of traffic control cameras, road network calming program, and accident hazard training.

Transportation is one of the most important pillars and commercial infrastructures for the development of exports, economic growth and development, strengthening trade relations with the countries of the region. If there is an inappropriate pavement, speed violation and non-observance of the ban on the movement of heavy vehicles in the speed line, there are much more risks than light vehicles. The purpose of this study is to investigate the relationship between the traffic of heavy vehicles in the speed line and the quality of the road pavement and the non-enforcement of the law by the traffic police. Also, examining the role of pavement quality in determining the priority of using the transportation axis in the transportation of goods is another goal of this study. In this axis, the Zanjan to Abhar freeway was examined as a study axis, based on field research and questionnaires. Among 221 drivers of heavy and cargo vehicles, research hypotheses have been investigated using SPSS software, due to the quantitative of data the Pearson correlation coefficient, it has been used to measure the relationship and also considering the acceptance of linear relationship between the variables. Research has used linear regression to find the relationship equation. The results showed that 63 percent of the increase in the use of the speed line by heavy vehicles was due to the unfavorable quality and the presence of pavement damage in the mentioned axis, and 12 percent of the violations of the ban on the movement of heavy vehicles from the speed lane were related to the non-enforcement of the law of the offending drivers. . Also, 62% of priority for the use of transportation axes by heavy and cargo vehicles for the transportation of goods, the optimal quality of road pavement will be the criterion. Therefore, the role of the quality of road pavement will have a significant impact on the choice of the route for the transportation of goods and, as a result, increase trade relations between cities and other countries. A safe and high-quality road is part of the public and natural rights of drivers and passengers.

Road geometry consists of horizontal and elevation components of road extensions, which mainly include tangent lines, arcs and connection curves. The role of these components in guiding the driver as well as his prior knowledge of the continuation of the road is very important. Also, the arrangement and combination of these components can have a positive or accidental effect on the safety and comfort of the driver. Horizontal curves are considered as one of the most accident-prone points of the road. Centrifugal force on vehicles and human error are the two main factors in the occurrence of accidents in these areas and will eventually lead to overturning or slipping of vehicles. In this study, the main goal is to find a way to increase safety and reduce the rate of accidents due to the relationship between human factors and road geometry. Which is mostly based on previous research and analysis. Studies on safety measures to increase safety in recent years have been collected and reviewed. The results show that the review of new methods, models and schemes such as risk reduction plan to support decisions, safety performance prediction methods on horizontal curves such as Safety Performance Function (SPF) in the future will help better performance for users. The road guarantees. Also, using short-term economic solutions such as route marking will increase safety. On the other hand, the most important criteria for assessing the safety of the vehicle when passing the corner is to estimate the resistance of the vehicle against frustration and overturning, which is also important.

By consideration of spreading roads, increasing vehicles, a consequently increasing inner-outer travelling, accidents and violations turned into significant problem in the part of road transportation. In this regard, The aim of this study is evaluating the effect of increasing the number of vehicles on increasing the number of accidents an violations in Bushehr-Brazjan is considered as an important and related place to answer the question which cause the traffic accidents, on the other hand, related to this problem a few studies have been implemented on the Bushehr-Brazjan road. This research is a descriptive-analytical study that Bushehr-Brazjan road axis was studied as a research road axis based on available information and based on statistics of violations due to speed, unauthorized distance and road accidents in the mentioned freeway. Given that the data collected is quantitative and the research seeks to investigate and determine the relationship between the variables, Pearson correlation coefficient has been used to measure the relationship. Also, according to the distribution diagram between the dependent variable and the independent variable indicating the existence of a linear relationship between the variables linear regression has been used. Relevant information was collected and evaluated in consecutive years (2014-2019). The results showed that the increase in the number of vehicles affected on 93% of accidents, 83% of speeding violations and 81% of speeding violations. Also, by considering the independent variables and the use of the multivariate linear regression equation, the number of accidents for the coming years can be predicted.

Today, with the increase in the volume of traffic and the growth of travel, organizing and managing traffic is one of the necessities of urban medicine. Also, Traffic identification has become a challenging task in recent years. Recently, deep learning methods have been extensively studied for network traffic classification recently. Unfortunately, these models require a large amount of training data. Another challenge with most traffic classification methods is that the features must be extracted by an expert. In these methods, finding the desired features that lead to a better classification is very tedious and time-consuming. Therefore, new measures are needed to reduce urban traffic more than before. The purpose of this study is to investigate new methods of urban traffic control. Which is mostly based on previous research and analysis. Studies on new methods and models of traffic reduction, including technology, technology and intelligent systems, have been collected and reviewed in recent years. The results show that the use of these new technologies can estimate the volume of hidden traffic, improve traffic flow, accurately predict travel time operations and traffic volume, determine the appropriate service level, increase the capacity and efficiency of existing infrastructure. Transportation and specification of travel time, maximum queue length, queue stop, vehicle delay, stop delay and number of stops.

The use of new asphalts with the aim of increasing the life of the pavement and reducing the maintenance costs of the pavement is of great importance. Continuous investigation and evaluation of the causes of failure is a necessary thing that failure to pay attention to it will intensify the failure and transfer it to the underlying layers, which will lead to complete failure of the pavement and impose very high costs. Timely use of protective asphalt can improve the service level of pavement and increase its life, also increase wear and improve existing asphalt and concrete procedures and be used to make the road surface impermeable. Protective asphalt is usually used as a temporary coating in the road construction industry and is not one of the main components of the road body. This layer is mostly used to make the asphalt impermeable and to prevent erosion of the main layer. Using it can strengthen the main layer of asphalt which is on the road. Due to the types of protective asphalts, each of which has its own application and characteristics, they are spread on the road surface. These asphalts include chip seal, fog seal, seal coat, slur seal and micro-surfacing. Studies on fog seal protective asphalt have been collected and reviewed in recent years. The results show that the use of sand seal grout with epoxy emulsion shows resistance to skid and frustration, which its use for sealing and prevention at the pavement surface increases the resistance to skid. Fog seal can be effective in minimizing water absorption and air permeability, and such findings suggest that sealants using biomaterials can be a viable alternative to asphalt pavements. Adding oil (environmental-oil) reduces the need for asphalt adhesion and leads to energy savings. In general, the use of fog seal protects the pavement against cracking and erosion of asphalt, increasing the length of the pavement, delaying major repairs, reducing permeability due to sealing and damage due to moisture

Road maintenance is considered as one of the major and important factors in the pavement management system (PMS). Regarding the type of data collection in this study, the observation method based on index PCI (Pavement Condition Index) according to ASTM D6433 standard was used. Research aims to assess the priority of road maintenance using the Pavement Condition Index (PCI). Locations for this research were the roads at the EMU campus to length 10 km in Northern Cyprus and 16 road segments were taken from each district. There were 9 distress types that had been recorded. We intend to add to this project a new dimension by analyzing the EMU campus road. The results of the research as obtained from the method of PCI and prioritization can be identified as follows: five road segments are in good condition, four are satisfactory, six are in fair condition, one is in a failed condition, and one road segment is in serious condition. In total, 15 of 16 road segments are in stable condition. The result generally indicates that the road was 80.63% in satisfactory condition. In general, it can be concluded that road pavements are constantly exposed to various types of stresses such as heavy traffic load, temperature, humidity and bed soil displacement, which over time lead to damage such as cracks in the Alligator cracking, Patching and Utility cut, Block cracking, Long and Trans cracking, Rutting, and Asphalt Bleeding are in the pavement. Patching and Utility cut, Alligator cracking and Long and Trans cracking were assessed as the most severe.

By considering different variables that cause accidents, we can refer to unauthorized speed and driving offenses which are as one of the most important factors in accidents. There are relatively good studies around the world to model the relationship between different variables and the probability of accidents.. but so far, a few studies have been done on the impact of three independent variables (the number of traffic violations, transportations and unauthorized speed) on the number of accidents. Therefore,this study aims to predict the number of accidents according to the collected information in previous researches.

This research is a descriptive-analytical study, which was considered as the axis of study of Tabriz-Keshwin axis which is based on field research and documentation reviews. Based on the statistics of crashes on the freeway, the research hypotheses were analyzed using SPSS software. Considering that the collected data is small and the research is to investigate and determine the relationship between the variables, Pearson correlation coefficient has been used to measure the relationship. Also, with regard to the acceptance of the linear relationship between research variables, linear regression has been used to find the relation equation.

Information related to number of traffic violations, transportations were collecting and evaluating in consecutive years. After calculating it was realized that 31 percent of the dependent variables changes’ was related to independent variables mentioned above. Other changes were related to variables which were not considered in the study.

 It is suggested to be issued to reduce violations related to speed with the field of software launching for the issuance and distribution of a fine or online SMS for offenders who are unauthorized speed, so that violations and accidents will continue to decline.

Speed is considered as one of the most important factors in accidents. Using speed management methods and law enforcement by police can be effective in decreasing accidents caused by speed, but a few studies have been done about the effectiveness of these methods. By considering the previous studies information, the main purpose of this study was evaluating the effect of speed law enforcement on decreasing accidents. In this study the highway of Tabriz-Qazvin was examined in order to evaluating the effectiveness of using mobile speed control cameras on accidents caused by speed and SPSS software had been used for analyzing data. Information related to violations, accidents and the number of speed control cameras were collected and evaluated in consecutive years. After calculation it was realized that 33 percent of accidents depended on the number of violations and also 38 percent of decreasing accidents were for the number of speed control cameras.