معین عسکری

This article seeks to improve the traffic situation in one of the squares of Kerman. In this article, first the traffic intensity in the objective location is examined in consecutive days and hours, and its traffic node is extracted using visual criteria. The extracted traffic junction is shown to be one of the intersections adjacent to the square, which causes the traffic to bounce back to the square, making the the underpass built in the square useless. In this study, first, regulations are mentioned to improve the general condition of this intersection, and in the next step, traffic simulation is used to improve this specific intersection. To simulate the raw data, the volume of traffic passing through this intersection was required, which was captured using several people and using several video cameras. After capturing this data using video cameras, the required information was extracted using a review of these videos. In the next step, using simulation, 5 solutions were proposed to improve the condition of this intersection, which could improve the traffic parameters of this intersection, including reducing the delay to one third of the non-performance option. The study also examined the economic implications of these options, which showed a 39 percent improvement in the cost imposed by the non-coplanar intersection over the status quo.

The aim of this paper is to investigate the impact of emergency response forces on the number of survivors during the disaster. In this research, a model is presented to calculate the optimal number of forces for each mode depending on the available budget. Frank Wolff's algorithm was used to assign ground forces, and for more realism, the impact of post-disaster links failure was also considered in ground forces. The proposed model in this study was solved using Particle Swarm Optimization algorithm. One of the most important results of this study is the effectiveness of air mode in particular in high budgets and variable effectiveness of land forces in different budgets. Also, it has been shown that in lower budgets, the effect of budget increases is greater than high budgets. In other words, the increase in the number of survivors in the fixed amount of funding increases from 98% for low budgets to 2% for high budgets.

One of the important ways of identifying road accident potentialities is road safety audits. After identifying these points, appropriate strategies to reduce the number and severity of accidents can be considered for them. In this study, using road safety audits, access, pavements, signs, roadside, and geometric problems and accidents leading to the deaths of outlying urban road sections were identified and using these data, the model of crashes in them Was presented. In this paper, the Hamadan-Kermanshah axis was chosen as a case study. In this axis, Poisson's regression model was more reliable and the problems of drainage ditches and vertical alignment were the most important reasons for the accident and resulted in death.

Using appropriate variables that can consider individual, family and trip attribute effects on transportation decision is known as one of the most important part of transportation modeling. The goal of this study is using life cycle variables to have more accurate describing of family structure. For example life cycle can discriminate between families with similar number of children and adult but different children’s age, adult’s age and employment status and this discrimination will bring more accuracy for family attribute. This study use life cycle variables in trip mode choice modeling for different trips purpose. One of the most important results of this paper is substantial rule of life cycle variables compared with household size variable in educational, social-recreational and personal trips.

In general, freeways, due to geometric conditions, the speed and number of overpass lines, pass a large percentage of traffic flow volume. Lane change phenomenon can decreases their functional capacity and as a result, the travel time increased traffic flow and reduces speed and safety. Line change is divided into two types of optional and mandatory line change. Mandatory lane change (MLC) occurs when a driver must change lane to follow a specified path and Discretionary lane change (DLC) occurs when a driver changes to a lane perceived to offer better traffic conditions, he attempts to achieve desired speed, avoid following trucks, avoid merging traffic, etc. The aim of this research is predicting the number of the Discretionary lane change in freeways with count regression models.

The information used in this study has been processed by the data of an interstate freeway in America. Then, using this data, two types of linear regression models, poisson regression has been paid and then, for a good evaluation of the models are presented their observation and estimation charts. One of the most important usage of this model is its use in macroscopic simulation software and use in service-level design models.

The virtual variables of the number of crossing line, the number of vehicles on the current crossing line and then the average speed of the current crossing line and the target crossing line have the most impact on the estimation of this model.

In the comparison between the two linear regression and count regression models, it was observed that The count regression model describes this phenomenon better because of the proximity of the characteristics to the line change feature. It is also suggested that in future research should also be considered the mandatory line change and the differences between the two models.

Today, using the chemical materials in X-ray films processing has caused some Occupational concerns associated with the darkroom disease all around the world. The darkroom disease is considered as complications triggered by exposure to chemicals which are used for the processing of the X-ray films by the radiographers. So for this purpose, the present research aims to compare the prevalence of the darkroom diseases syndrome between the radiographers and special care nurses in the selected hospitals of Kermanshah University of Medical Sciences, in 2014. In this case-control study, related data with the darkroom diseases syndrome of 100 radiographers and nurses were collected by using simple sampling and the questionnaire. 50 participants were selected from both the case group and the control group. Then collected data were analyzed by using the SPSS statistical software version 21 and the Chi-square test at a significance level of <0.05. Most of the research units (%71) were female. The radiographer's age mean was 34.4±9.4 and nurses were 29.9±5.8. There was found a significant relationship between the headache (P=0.04), eye irritation (P=0.02) and eye pain (P=0.01) and the type of occupation. In this study, the prevalence of the eye irritation and eye pain were reported higher among the radiographers as compared with the nurses. So the Solutions of personnel safety and awareness improvement to the darkroom disease should be put on the agenda.