فهرست مطالب فاطمه متین قهفرخی

Accidents are one of the adverse outcomes in the flow of traffic and cause a lot of financial and human losses. There is a clear relationship between the condition of the pavement and the types of accidents. In addition, the characteristics of pavement failure are among the important and influential parameters for the type of reaction and behavior of drivers. The goal of this study is to determine which pavement’s failures have the greatest impact on drivers' abnormal behavioral patterns when confronted with them in order to identify the most effective pavement’s failure in drivers' abnormal behavioral patterns to prevent the occurrence of this type of accident. In this paper, the effect of parameters such as vehicle speed on failure, In this paper, the effect of parameters such as vehicle speed during failure, transport volume and failure intensity on the type of driver response when faced with failure was investigated.

This paper analyzes the reactions of drivers on the Sari suburban road axis on a case-by-case system based. The decision tree method was used to determine the type of reaction of the driver by considering the effective factors (speed, failure, traffic volume). Consequently, based on the algorithm for the categorization and regression tree, the decision tree is created.

The speed variable was the most effective parameter for the driver response rate and the target variable followed by the moving traffic and the severity of the road damage, respectively, are the next influential variables.

The results of the Sari-Ghaemshahr axis model show that, within a speed range of 57.5 km/h to 62.5 km/h, if the asphalt pavement failure index is less than 2.5, 83.3 percent of the reactions are of the third type, which are the most common. In that same range, the most serious reactions occur. Even so, if the index of pavement failure in this case is more than 2.5, the reactions are not as severe and have a lower percentage.

Overburdens are stones that lack the required properties of minerals to be extracted and are piled adjacent to mine, while they may be used as aggregates in the asphalt mixture. Set-tlement is a cheap mineral composed of iron oxide, silicone and aluminum oxide, application of iron, silica and aluminum as aggregates in pavement industry has great effect on per-formance of asphalt mixtures. In this study, we investigated the effect of using Sillimanite aggregate material as an alter-native for Limestone aggregates on resilient modulus, Mar-shall Strength and skid resistance parameters at various tem-peratures. The modeling was carried out by using finite ele-ment software based on the elastic behavior of the layers to determine the effect of elasticity modulus variations due to the change in aggregate type on the pavement response. The re-sults indicated that the use of Sillimanite aggregates in the asphalt mixture led to a lower optimum bitumen percent than Limestone material; and also, in the asphalt mixture made of Sillimanite aggregates with optimum bitumen percent, Mar-shall Strength was increased by 15% and the resilient modulus by 25% compared to the mixture with Limestone material. Application of Sillimanite material in the asphalt mixture could enhance the friction resistance of the mixture against the abrasion resulting from traffic loading due to its higher hardness compared to Limestone material. The results of nu-merical analysis showed that the aggregate’s type had the lowest effect on the critical tensile strain at the bottom of the asphalt layer, then came the percentage of bitumen in the mix-ture and, finally, the bonding of the layers had the highest ef-fect.