Design and Evaluation of Traffic Congestion Index for Yancheng City

With the rapid development of the Internet of vehicles (IoV), how to analyze and apply the big data based on the IoVs has become a research hotspot. Among them, the traffic performance index (TPI) is an important method to evaluate the urban congestion. In this paper, the actual bus data of Yancheng are analyzed to evaluate the TPI of urban public transport. Based on the speed of urban public transport, the definition of urban TPI is defined by partitioning its running speed. With the JavaScript (JS) development environment, the TPI under the urban bus scene based on Baidu map is realized. Based on the analysis of bus big data, the change rules of TPI of urban morning and evening peak can be evaluated. It is helpful for the urban bus manager to make a decision and correct the traffic condition by studying the actual operation of urban public transportation.