جستجوی مقالات مرتبط با کلیدواژه « traffic behavior » در نشریات گروه « عمران »

Traffic and its problems have become a big social issue in all societies today. Knowing essential factors that affect traffic, and the factors that aggravate traffic can be useful for managing the traffic. Nowadays, the problem of traffic forecasting has become a goal among different countries. If one can predict the traffic, he can prevent the waste of energy and time. Predicting the traffic situation and its behavior, especially in big cities, requires managing, planning, and spending time. Geographic Information System (GIS) is an important technology and science for spatial analysis. Since traffic is a spatial and temporal problem, this science can well manage the problem of traffic. In the field of traffic, people often look for a route that meets the criteria of being short, low cost, and consuming the least amount of energy. For this reason, traffic is one of the most influential factors in choosing the route to reach the destination. It can be said that people prefer a long route with little traffic to a short route with heavy one. Thus, traffic affects many optimal route equations. Therefore, it is clear that the main criterion for choosing a route is the traffic situation on the relevant route. In this research, the collection of traffic data of Tehran province has been done using the proposed platform. Traffic data exists in real time, but the problem is that there is no platform for data collection. The lack of a suitable platform for storing traffic data has always been a problem that has challenged researchers in this field. Therefore, in this research, a method for collecting and storing traffic data on the web platform has been proposed. In this research, traffic images are first captured from web platforms. Then the intensity of the traffic is identified based on the color scheme. According to the position of the pixels in the image and the existing control points, the ground coordinates of all the pixels are calculated. Finally, the collected coordinates are stored in the database based on the standard spatial format. Finally traffic data is stored in the database instantly based on the current system. During this research, it was found that the point that has heavy traffic has heavy traffic in most hours of the day. It was also found that places with heavy traffic have a uniform behavior during different days of the week. In other words, it is rarely seen that points with different traffic loads have a significant difference in the traffic situation. In terms of accuracy, it can be stated that the collection of traffic data points has been done with acceptable accuracy in terms of location. The collected points are also the most compatible with other data in the database.

The reality is that people often search for a path that has the parameters of being short, low cost, and using the least amount of energy. However, traffic is one of the most influential factors in choosing the route to reach the destination. It can be said that people mostly prefer a long route with low traffic to a short route with heavy traffic. Thus, traffic makes many optimal path equations more confusing. In addition, it is obvious that the main criterion to select a route, among different communities, is the traffic condition on the required route. This problem highlights the significance of the present study and attempting to collect traffic data, because if the goal of the research is achieved, the least effect is saving time, money and energy. For this purpose, this study seeks to collect traffic data of Tehran province. Traffic data exist instantly, but the problem is that there is no platform for data collection and storage. The lack of an appropriate platform to store traffic data has always been a problem that has challenged researchers in this field. Therefore, a method for collecting and storing traffic data on the web platform has been discussed in the present study. The programming method in different environments has been used in this paper, as during a long period of time, the data were collected and compared to the collected traffic data. It was found that the area with heavy traffic is always overcrowded in most hours of the day, especially during the hours of the day and night when people commute to work. But the important point here is that the areas that have heavy traffic usually have heavy traffic or semi-heavy traffic during 24 hours. In other words, it is rarely observed that the areas with different traffic loads make a significant difference in the traffic condition. In terms of accuracy, it can be concluded that this study has collected traffic data with high accuracy according to the geographical location of each area on each street.

For Lateral movement is one of the most common phenomena in traffic flow that lack of control & non-compliance leads to car accidents side by side and face. Driver’s behavior in Lateral displacement and deviation from the center of the traffic channels, are affected by the quality and functional requirements, horizontal signs particularly is marking.In this article, we will review the performance and effectiveness of horizontal signs and markings on drivers’ behavior, the feasibility of developing a linear model on the drivers’ amount of displacement to traffic variables such as speed, volume and the headway time has been considering. The effect of marking quality due to the amount of the contrast, the white color was assessed on black background; the volume and speed were done by handy film cameras, films are extracted from central traffic control. By using statistical analysis, ANOVA, T-test the amount of lateral displacement in two both cases were investigated before and after the improvement markings. The results show that, we cannot model the effect of the behavior movement in the middle of traffic lanes resulted from traffic conditions and the performance marking, although driving behavior pattern is improved by changing in the quality of markings.