ايلياد كوه نورداصلي

The capacity of the freeway divergence areas due to the turbulence caused by the slowdown and the movement of the line between the vehicle and the car, The vehicles that are moving in the right direction with the right-going vehicles are too small Its main. Therefore, these areas are flooded by the bottlenecks and incident points. Increasing the number of lines an‎d changing the practical strategy on a specific freeway into a specific area makes the flow of vehicles more complicated, and clerical and immune systems Practicing is affected. Due to the complexity of the traffic flow of these flaws, the design of the method should be determined Traffic characteristics of these areas are necessary to prevent the reduction of safety and efficiency of freeway. The most important Specifically, the traffic to be determined in these areas is travel time, queue length, delay, and density. One of the most important parameters of the parameter is the operation of the night-time operation of the tiger, and, consequently, the output of the Simulation, the distance between the driver's decision to change the line from the change of direction, or to the other, the interval of change of the stop is. The value of this parameter will have a direct impact on the time of vehicle redirection. This is the key to this It has been tried to influence the effect of all parameters affecting travel time, length of the wet, dry and wet areas, from time to time. Driver's decision to change the line from the redirection, the traffic flow to the traffic junction and also the non-stop Output traffic to freeway traffic (and the specified geometric distance of the route). The purpose of the study of divergence areas in this dissertation is to provide a convertible and a bundle of documents, Specific geometric and traffic characteristics of these areas as well as the behavior of drivers, the trait characteristics of jeriban from the final seam Trip, line length, delay, and route density were not predictable in these areas. The converter is specific to the handheld The traffic receives the divergence area as input, and the travel time, queue length, delay, and density of the area As output. In this regard, it is necessary that different plans of divergent areas be avoided Different traffic is simulated in the software. The neural network is also used to train, validate, and test network resources The simulation will be used. Finally, in order to evaluate the model, a case study was conducted Divergence is in operation, will be used