Evaluative analysis of traffic guidance forecasting system based on DTW algorithm——With the big data era as the background

Abstract

With the development of the economy and society and the improvement of transportation infrastructure, the number of motor vehicles and the flow of road vehicles have increased rapidly, resulting in traffic congestion and frequent traffic accidents, which not only affects the efficiency of road traffic, but also affects the realization of social benefits as a whole. Based on this, services such as road condition prediction and real-time road condition detection came into being. In order to study the difference between the predicted value and the real value, this article selects the domestically used AutoNavi map platform and the Baidu map platform as the research objects, and calculates the relevant values. The predicted value provided by the AutoNavi platform is the same as that provided by the Baidu map platform. The real-time detection values were compared, and at the same time, the relevant index in the Baidu map platform was used in the calculation, and the index weight formula was proposed, and the problems in the relevant prediction were found. According to the actual background of the problem, suggestions are made for traffic congestion prediction and smart city construction.