Utility Analysis of Driving Behavior Parameters in Microscopic Traffic Simulation Based on PTV-Vissim Platform

Traffic simulation technology provides an important method for road traffic research. The calibration of microscopic traffic simulation model parameters is a prerequisite for simulation applications. The utility of driving behavior in microscopic traffic simulation is a basement for the calibration work. In this paper, the utility of car-following and lane-changing behavior parameters are analyzed through traffic simulation experiment. A series of simulation experiments with a two-lane bottleneck scene were conducted on PTV-Vissim platform. And based on Pearson correlation coefficient, the relationship of typical traffic flow characteristic and 20 driving behavior parameters were found out. The result shows that six of the parameters have significance influence on the traffic flow, and we explain principle of these phenomena based on traffic perspective. This work will contribute to the calibration of microscopic traffic simulation.