Simulation of Gipps car-following model and validation by China data

Abstract

Car-following analysis is a very reliable research for any kind of traffic system which gives to the drivers more important information about roads during the last sixty years. In this study, diplomatic information will be produced by using Gipps car-following-model (GCFM). Many researchers have explored the traffic system for the car drivers by avoiding any struggle into the road. For this reason, GCFM is proven to be a very effective car-following model. For analysis of the GCFM, the authors have collected the car-following data from Shanghai-Nanjing Expressway road, China. By using high resolution car-following video, MATLAB software has been used to extract the data in excel. The extracted data are compared with simulation data that has been generated from GCFM car following factor, such as position, speed, gap and headway by using MATLAB software. Here, the simulation data results show that Gipps model can validate with real trajectory data by using Goodness of Fit (Gof) model as Root Mean Square Error (RMSE).