Sharif Digital Repository

Despite eye-catching progressive trends in highway safety, there have been a great number of unpleasant incidents in highways. A number of 8841 people died in road accidents in the first 6 month this year with 1.7% increase compared to the accidents occurred in 1396 [59]. Operation of a modeling process shall provide the engineers with more opportunities to identify the affecting factors in roads incidents. Safety infrastructure management is mainly aimed at ensuring the efficient measurement, systematic recognition and consequently deterioration of road accidents when they have been designed, constructed and used [37]. Building information modeling (BIM) tends to be a developed managerial... 

Today the losses due to road accidents in Iran are very high. For this reason, it is essential to investigate the effective factors on the road accidents. Therefore, at first, there is a need to identify the solutions of reducing the accidents, their priories and finally their efficiency improvement. In this research, using Hierarchical Analysis Method, the solutions to reduce the accidents are prioritized and then In order to conduct the AHP analysis, Expert Choice software was chosen. According to research findings, the factors that lead to accidents are categorized as: Human factors, road environmental factors, vehicle, natural factors and managerial factors. The findings show that in... 

Road accidents are unfortunate events that cause more thanl16000 deaths each year in Iran. Intercity accidents require a comprehensive plan to reduce casualties because the number of roads users are increasing and the accidents account for nearlyl65% of fatalities. In this study, we first tried to identify the status of Iran through a study of traffic accidents in the world, and then the research and activities carried out in Iran were analyzed to find new and effective solutions. Using the daily fatalities data froml2008 tol2014, and using the new methodology presented in this research based on the Discrete Fourier Transformation (DFT), the Box-Jenkins models and the Secant method, the... 

Neck fracture caused by impacts on the head and neck during road accidents annually imposes a great cost to the people hospitals and the economy of country. Most of these accidents, regardless of cartilaginous injury causes sudden pressure to the spinal cord so it seems necessary to understand the biomechanical response of the neck and the mechanism of injury to reduce costs. Many computational models related to the neck injury have been developed recently. The aim of this project is to investigate the effect of frontal and rear impacts to the head and neck during road accidents. There are many researches have used elastic property for tissues but a little portion of research in this field... 

Traffic accidents are one of the main causes of death in Iran. Between 2005 to 2019, 20,000 people were killed and 300,000 were injured on average annually. About 65 percent of all traffic fatalities over the past seven years has been on intercity roads. Finding patterns of accidents on specific days, such as holidays, would help the planners prevent traffic accidents. In this study, using police accident data, traffic counts of Road Maintenance and Transportation Organization, and meteorological data of Iran Meteorological Organization during 2011 to 2018, we study the effect of official holidays, and the days before, after and between two holidays on the rate and severity of road accidents... 

Road accidents are currently one the main existing problems and a big challenge in Iran that is putting the lives of Iranian citizens in danger. Each accident is the result of a complex interplay between road users, vehicles, roads and environment. One of the main goals of accident data analysis is to identify and determine the main factors of a road accident. The dataset used here was obtained from the road traffic police and is stored in 3 different databases and corresponds to the accidents that happened between years 1390 and 1395 according to the Shamsi calendar. In this thesis, in order to deal with the inherent complexity and heterogeneity of the accident data, we will first introduce... 

Despite progressive trends in road safety, thousands of people die in road accidents, and millions are injured each year all around the world. The consequences of traffic accidents are not limited to injuries or fatality. Yet, they have a wide range of indirect economic and social effects, such as the financial burden of medical expenses or young labor loss. Therefore, the need to improve road safety and reduce road accident rates is essential for all communities.The first step to improving road safety is to build a reliable accident information management system. Accident information management systems are effective platforms in the design of highways and vehicles. They also present... 

According to the World Health Organization, in 2018 nearly 21,000 people lost their lives in road accidents in Iran. According to a report published by the organization, the fifth leading cause of death in Iran among all age groups is death due to road accidents. This imposes huge economic and social costs on the country every year. According to UNICEF, the cost to the Iranian economy caused by traffic accidents is more than 5% of the country's GDP. The human factor is known as the most important factor involved in the accident. According to existing theories and studies, one of the effective reasons for committing a driving offense as a high-risk behavior is a person's attitude. Therefore,... 

Road casualty is the fifth leading cause of death in Iran. To adopt proper countermeasures there is a need to evaluate the consequences of the implemented policies. Despite the development of crash time series models, these methods have not been in accordance with the multivariate, seasonal, and non-linear nature of crash data. On the other hand, the interpretable crash causal analysis frameworks are descriptive and they lack predictive power. Moreover, the unobserved homogeneity between observations has been widely overlooked in the crash causal analysis literature. This thesis introduces a novel causal analysis methodology by combining the interpretability and prediction power of the...