hassan khaksar

The research method is statistical in terms of data collection and analysis. Due to the fact that the present study seeks to design a model for the impact of natural factors in accidents on a section of the Nowshahr-Royan axis road (adjacent to the Si Sangan Coastal Forest Park in Nowshahr) in recent years, first citing meteorological organization statistics to examine the parameters Climate and its analysis is done and then using the statistics of road accidents and traffic passing in this part of the route, accidents caused by climate are examined. Thus, the data of the last three years of accidents, weather conditions and passing traffic are used for modeling. Analyzes, tests and statistical modeling were performed in the form of SPSS software. The results showed that the share of climate variables was such that weather conditions, rainfall and wind speed, temperature and horizontal visibility were the most important variables affecting the severity of accidents in the present study. So that this amount for the amount of precipitation is equivalent to a positive coefficient of 0.832, weather conditions are equivalent to a positive coefficient of 0.698, wind speed is equivalent to a positive coefficient of 0.066, temperature is equivalent to a positive coefficient of 0.027, horizontal visibility is equivalent to a positive coefficient of 0.022.

Annually, traffic problems ranging from congestion, air and noise pollution, abundant accidents, unacceptable increases in travel time, and various types of damages are the advance of most countries, especially in developing countries. Environmental pollution, casualty, and financial costs, as well as accidents, increased fuel consumption, the extent of resources allocated to build the network, and the huge cost of construction of various transport systems, as well as other side costs, destroy large amounts of human and economic resources in the country. It becomes. Therefore, the prediction of traffic for a pre-construction route as well as analyzing and estimating the capacity and prediction of future demand, due to the expansion and improvement of the network and preventing the creation of problems developed from increasing demand and lack of facilities, and can have problems The existing network minimizes the country's roads. Functional criteria are determined by defining the concept of level-of-service (LOS). In this research, the analysis of highway capacity was obtained using the data from the Shahid Sadr class-bridge in Tehran, based on the 415, HCM2016 regulations and headway methods, and then the results were compared using Synchro and Aimsun software.

The need to move from the most fundamental prerequisites for human societies. Disabled people and elderly people will not be able to use transportation facilities provided for other people. This will reduce the participation of these individuals and their productivity in the community. According to the global health institution of disabilities, there are many: inability to move, visual problems, hearing problems and wheelchairs. These people do not have the ability to use personal cars independently and are dependent on a person or other transportation system. In this research, first examines the motor characteristics and the human needs of these individuals according to their type of disability. Subsequently, according to a questionnaire for the survey of people with disabilities, the minimum parameters needed and effective for the use of disabled use of the transportation facility have been identified. Then, the parameters of the index using a hierarchical multi-criteria decision-making method are prioritized. The results of the research show that the highest share of the community consists of physical and motor disabilities, if urban spaces and transportation devices are suitable for passing and reviewing these people, with minor changes, the background of the rest of the disabled can be created at the city level.

Traffic accidents are one of the main causes of death in the world and the resulting damages have an important effect on the economy of any country that the need to identify factors affecting accidents that lead to a reduction in the frequency or severity of accidents is understandable. Since the outbreak of Covid-19, travel restriction policies have been widely adopted by cities around the world that it played a profound role in changing the shape of urban travel patterns. One of the factors that influenced traffic behavior in recent years was the epidemic of Corona disease in the world. Therefore, new driving rules and regulations were established for urban and suburban traffic, and traffic behaviors were affected by those rules. It is possible to investigate the effect of each factor on the severity of accidents by using accident severity models according to the effective parameters. In this article, urban accidents due to lack of attention during the corona epidemic were analyzed using logistic regression and information related to intra-urban accidents in Rasht city. The final model shows that the independent variables of working day, at-fault male drivers over 60 years of age, front-to-front collision and the at-fault vehicle Pride increase the probability of a fatal or injury accident compared to a damage accident. Variables with negative coefficients (6:00 a.m. to 9:00 p.m., dry road surface conditions, clear weather, and daylight conditions) reduce the probability of fatal or injury accidents compared to damage accidents.

The quality of traffic flow is one of the main characteristics of the transportation network, which is widely used in issues related to urban planning, route prioritization, reducing traffic congestion and travel time; Therefore, estimating the volume of traffic and predicting it in the future is one of the important issues for transportation planners. The problem of prediction requires modeling and determining the variables affecting changes in a particular phenomenon. In this research, travel demand is predicted using time series methods. The data required for this research have been prepared from the Roads and Transportation Organization. In this study, in order to build a model, two autoregressive processes and moving average have been used. Using the above methods, the amount of demand in the coming years up to the horizon of 1404 on the Qom-Tehran freeway is predicted. The results of the study showed that among the self-correlated and moving average models and the combination of two models, namely the self-correlated moving average, the third model has a more acceptable accuracy. The parameters of this model (4,5) ARMA were obtained. Also, the validity of the constructed model, based on the average value of absolute error percentage, was 0.047, R and R2 values were calculated 0.94 and 0.89, respectively, which shows that the model has acceptable accuracy.

Metro is one of the public transportation systems that plays an effective role in transporting citizens in big cities, which is moving towards sustainable development. The quality of services provided by this system has a significant effect on the desirability and the increase of passenger engagement. In this article, the components of spatial quality affecting the satisfaction of metro users is investigated. The focus of the research has been on examining functional components. Metro line 2 of Tehran municipality is investigated as a case study of this article. In order to determine the effective components, the completion of a questionnaire among the users of Tehran Metro Line 2 stations and the use of factor analysis technique is used. Based on the results of the surveys, the parameters of metro passengers' satisfaction with escalators, arrival time, ventilation quality, interior decorations, facilities for the elderly and satisfaction with the level of lighting have the greatest impact on the satisfaction of users of Metro Line 2 stations of Tehran Municipality. In addition, sanitary services, emergency and prayer rooms are among the most popular uses of these stations. In this regard, it is suggested to work on the situation of these cases while improving the services provided to passengers in order to attract more passengers and reduce the use of private cars in urban transportation.

Identifying the parameters affecting traffic flow density can be effective for decisions makers and policies for investment and prioritization of executive plans and projects. In this research, the effects of vehicle specifications on traffic density in the highway network of Tehran have been identified. For this purpose, information of Hemat highway has been collected and modeled. Geometric details and movement characteristics of cars can affect the quality of traffic flow. The present study is an objective research type and is survey research in terms of data collection. This issue is more crucial in highway and arterial crossings where other parameters such as delays and stops due to intersections and interferences are less. The method of research is quantitative and statistical models have been used to analyze the data. According to the results of the study, the length of vehicle, travel time, vehicle speed and volume of vehicles had the greatest impact on traffic density.

Advances in transportation technology and knowledge in recent years have provided different solutions to improve the transportation situation.One of the best solutions to solve traffic problems in big cities is to develop a high-speed bus system High capacity. In the present study, we have modeled and evaluated the performance of high-speed buses after development. For this purpose, first the capacity and service level of the study area in the current situation was determined. Then the capacity and service level of the area was determined after the addition of the express bus line. This was done due to the change in free flow velocity due to changes in some parameters of determining the level of service, such as reducing the width of the street, reducing the speed of traffic, marginal park, and so on. Finally, the current condition of the studied route and the condition of the route after the implementation of the high-speed bus line were simulated and compared in the software. The status of traffic parameters is getting worse. But the capacity of the route will increase by more than 20%. Therefore, due to the increase in the movement capacity of citizens due to the creation of high-speed bus lines, the development of public transport is necessary for private passenger cars, despite the deterioration of traffic parameters.

Flights in around the world have encountered with delays usually. Such delays have many costs for airlines, pas sengers and society. So identifying and predicting the delays is very important problem. Purpose of this research is to predict airline delays and identify the most important factors which generate delays in airline operation. A new data mining approach has been used for delay prediction. This approach can predict occurrence a delay and amount of each delay in the flight network. Proposed methodology was implemented on a real data set of a large Iranian airline with more than 50 airplanes that fly between 52 airports. Results show that the age of fleet, aircraft type and departure time have the most effect on delays. The accuracy of approach is 70% at predicting a delay event and predicting the amount of delay