محمدرضا الیاسی

Using new and environmentally friendly materials to stabilize problematic soils is one of the challenges facing geotechnical engineers. Nanoclays are highly reactive due to their high specific surface area, low specific gravity, fine particles, and are also considered as an effective and environmentally friendly stabilizer due to their uniformity with soil materials. In the present study, the effect of Nanoclay on the behavioral properties of Kermanshah's clay fine-grained soil has been evaluated. For this purpose, after having conducted index and identification tests on the natural soil, Nanoclay was added to the studied soil with 0.5, 1, 2, and 4 percent by weight of the dry soil, and Atterberg, consolidation, unconfined compressive strength and California bearing ratio tests were conducted on these samples in curing periods 1, 14, 28 and 60 days. Also, the durability of the stabilized samples was investigated by applying wet-dry cycles, and to investigate the effect of Nanoclay on the soil microstructure, imaging was captured from unstabilized and stabilized samples by scanning electron microscopy. The results show that the stabilization performance is significantly dependent on the amount of Nanoclay and curing periods. Also, according to the results, the optimal amount of Nanoclay is 4%, and the presence of this amount of Nanoclay and increasing curing periods has increased the plastic index, compressive strength and soil bearing ratio and decreased the coefficient of consolidation, settlement, Compression, permeability, and soil swelling. It is noteworthy that soil durability against environmental conditions has also increased.

We are today facing a growing number of vehicles, which poses an interference in the performance of urban intersections, particularly Squares. Urban road network does not make a lot of problems for traffic, but its major cause is the intersections resulting in congestion in the network due to the interference in the continuous flow and its conversion into incontinuous flow. This study attempted to provide the closest simulation to reality for 13 Aban Square in Hamadan by determining drivers' behavior and applying local parameters in EMSAN software.

In this study, in order to evaluate the drivers' behavior at intersections, traffic parameters were performed using field studies and the review of microscopic parameters was simulated in a realistic way. Data were collected in the field is by video recording for one hour without interruption during a peak hour of noon. One of the advantages of this method over traffic counting is the calculation of vehicle origin-destination statistics, which provides a better simulation close to the current situation. First, the required geometric data must be collected from the desired location, including the width of route entries and exits, the radius of circumscribed circle, the radius of central Square and other construction protrusions, and applied carefully close to reality in the software. The statistics of route entries were recorded by video recording without interruption at the peak hour from 12:30 to 13:30 from the high point on the northwest side of the approach on Tuesday, November 21, 2018. After determining the drivers' behavior and localization practices, the data were entered into the software and the results were compared in two scenarios. A new cycle plan was also designed and provided for this intersection with SIDRA software, which was applied simultaneously with localization. First, the effect of traffic light application was determined on the microscopic characteristics of Square traffic flow such as delay, vehicle speed, level of service, number of vehicles waiting in line, and travel time using software. The results showed the lowest value following the application of drivers' behavior and simulation for delay in the first scenario and speed in the current situation and the second scenario. Travel time also showed an increase by 54% for the current situation, by 6% for the no-light mode, and by 50% for the 80-second cycle mode.

Validation performed by fitting approximately 80% with the current situation calculated from the software, such as the same practice regarding the latency after determining the localized parameters, revealed the accuracy of the calculations and the correctness of the path travelled in the localization process. Travel time is one of the criteria used to assess the characteristics of traffic flow in urban road network and intersections. Vehicle travel time indicates characteristics such as delay, line length, flow rate and network level of service. It is not unreasonable to expect a change in travel time charts with increasing delay and decreasing speed, so that we observe a 54% increase for the current situation, a 6% decrease for the non-lighted mode, and a 50% increase for the 80-second cycle duration. Effectiveness and accuracy of localization process can be confirmed by analyzing the effect of localization of different software parameters on the outputs, investigating the fitness of the modeling results with reality, and by comparing the difference between the software output results in the two cases before and after localization. Delay and mean travel time parameters were selected as the most significant and common parameters in lighted intersections in line with the validation of the simulations. There was only a 5.5% difference between the current situation of 13 Aban Square and the field validation, confirming the coherence of localization in the software.

As can be seen in Tables of this study, it should be noted that the delay parameter has a direct effect on other parameters of an intersection. In this regard, validation was performed for the travel time parameter in line with the delay parameter and the test vehicle method was used. However, the tables were not presented in order to avoid prolonging the article. The results revealed that the validation performed by fitting about 80% with the current situation calculated from the software, such as the same findings regarding the delay, shows the accuracy of the calculations and the correctness of the path travelled in the localization process.

Road accidents are one of the most important causes of death in the world,especially in Iran. . Annually, many people in the world are killed and injuredas a result of accidents caused by human error on the suburban roads. Giventhe increasing population growth and the increase in road accidents in thecountry, finding the most effective accident factors can lead to a reduction indamages and casualties resulting from these accidents and a proper basis forroads accident management practices. Therefore, the purpose of this study wasto identify the factors affecting the incidence of accidents resulting humanerror leading to injury or death, as well as to present a model for predictingaccidents due to the impact of human error in suburban roads of Hamadanprovince during 2012-2017. To collect the data, the data collected were usedusing the accidents unprepared form. From 1345 accidents registered in thecase study, 940 accidents were selected in the incident parts, out of which 610accidents due to carelessness in 97 plots were selected for use in the model. Inthe modeling process, were used accident data, traffic and geometry of theincident parts of the case study that the geometrical data of the identifiedincident parts were collected as field and using two-frequency GPS. Findingsshowed that Poisson model is the best model in terms of accident predictionand ability to present formula. Five factors were effective in this model that theindicator factor of proximity to population centers with the coefficient of1/13081 had the most effect in car accidents caused by carelessness and factorssuch as slope and curvature composition, crash hour traffic, segmentationlength and slope are next hierarchy. The results of this study can be a properbasis for management disaster management practices caused by human error.Also the factors affecting accidents, will be used as a suitable tool at themiddle level of road safety management.

In this study, Malayer in Hamedan route and vice versa using the accidents of 2011 to 2013 as part of the dynamic segmentation. The segments were analyzed from the standpoint of safety audits and with respect to risk of each safety audit segment. The criteria used in the ranking criteria such as the side of the road, obstacles, visibility, access, level roadway, pavement, signs and markings. Accident-prone parts of the dynamic segmentation method, the audit by three expert safety audit and to estimate the risk characteristics of each segment were taken from each plot were calculated. Review and validation of the risk of accidents index components provided by the Department of Urban & Road (Iran) Safety Commission showed that more than 60% compliance. The highest risk Hamedan, Malayer 60-60 segment (Known as Pir Mishan) and other segments with lower risk were prioritized.

The road is the most important infrastructure development and the oldest media and means of communication of people and communities. The roads can be a vital artery of the region's economy and social and economic wheel rotation will not be possible without the way. Today road and ground transportation network is considered one of the main indicators of progress and social development. In economic terms set by the shift of wealth and agricultural products, industrial and mining through the bed of the production location to location are spent. And from a social point of view, road is a device for human access to another to establish a social connection and visit the signs of the past. On the other hand, given that the government imposes enormous costs roads. Therefore, after the operation, maintenance and protection of roads and buildings, including the concerns and issues that has always been important parts of planning managers. One of the things that the damage to roads and buildings and that endanger the safety of road transport are additional loading cargo and fleet capacity and standard of their home. The volume of information generated in today's world and the need for the road transport sector need the help of information technology in the management and processing of data are necessary and inevitable. Intelligent Transport Systems (ITS) and GIS geographic information system, including information technology achievements in the management and planning of transportation used. One of the components of intelligent transportation systems that aimed to collect traffic information that is widely used in the planning, design, maintenance and management of roads. Weighing System in motion (WIM), which aims to manage, collect and analyze data traffic and reduce the costs associated with the destruction of the body outside of the cross bars and lawlessness and to speed up the process rule of law and increase safe passage of vehicles are used. In this paper, it is the first to collect information infractions add tonnage and problems in the axis connecting the province to be addressed, then the entry, processing and analysis of the database based on the data of spatial GIS to prioritize and place to install and deploy WIM system is selected