Standardization and Authentication of VISSIM Driving Parameters for Unsignalized Intersection

The Transportation System be it in any country plays an important role in forming a sustainable development with reference to economic and social Stature of a country. Modelling the vehicular traffic in an efficient way especially in India have been a major concern due to its heterogeneous traffic condition. Microscopic traffic simulation models have got the better hand in modelling the heterogeneous traffic condition. VISSIM is been extensively utilized in the field of traffic operation, transportation management, designing and evaluating the performance before implementing the improved conditions in the realistic field condition. In this model decisions upon controlling and designing are controlled by their reliability and accuracy. This paper evaluates the driving performance parameters by selecting un - signalized which are been modeled by using VISSIM. Prior to modelling controllable and un - controllable input parameters have been defined. Simulation is been done for these input parameters by using the default parameters that VISSIM possess. These results concluded that the simulation which runs with default value was incapable in replicating the realistic field condition. In addition, these values resulted in larger queue lengths and travel time than observed in the test junctions. Thus calculable evaluation is performed by virtue of Iteration Analysis to discover the impact of the selected parameters. Further numbers of simulation runs were performed by changing the default values within the ranges specified by acknowledge the importance of balancing the parameters so that the INTERSECTIONS can be enhanced. Therefore, outcome received from the standardize models were comparable to those observed from the field data surveys. The simulation results using default parameters conveyed only 15 - 20% similarity to the field condition, whereas the results obtained by iteration analysis matched nearly 70 - 80% of the field observed data. Finally these analysis proved that standardize driving performance parameters.