Short-Term Traffic Flow Prediction Methods: A Survey

Abstract

Abstract As a major part of a smart transport system, the vehicle management system has become an effective means for traffic management departments to control urban road traffic with the advent of smart transportation technology. The short-term traffic flow forecasting provides drivers with the best route as a core engineering of the car guidance system as well as the very relevant mathematical foundation in the field of intelligent transport, improving the traffic management schemes and managing traffic flow by measuring and projecting path flows. This paper mainly aims at incorporating the current mainstream approaches to avoid short-term traffic flow, including the ARIMA, RNN, Sparse Auto Encoder (SAE) and others. We hope that this article will help those who want to delve into it quickly.