Traffic road jam prediction method based on particle swarm algorithm

Abstract

The invention discloses a traffic road jam prediction method based on a particle swarm algorithm; the method comprises the following steps: S1, using a sensor system on the terminal side and a trafficmonitoring system in a road intersection to gather traffic data, and uploading the data to a cloud server; S2, enabling the cloud server to receive the traffic data and process the data via the improved particle swarm algorithm, thus obtaining prediction data; S3, enabling the cloud server to send the prediction data to equipment on the terminal side; S4, enabling the equipment on the terminal side to receive data returned by the cloud server, and storing the data in a local storage device; S5, enabling the cloud server to obtain the traffic data gathered by the terminal and the traffic monitoring system in real time, taking the traffic data as new input variables, continuously learning according to the improved particle swarm algorithm, and continuously optimizing the prediction data. The method can obviously improve the prediction precision, can effectively adjust the traffic flow, can reduce the traffic loads, can reduce transportation delay and parking rate, thus improving the road network passing ability, and improving the city traffic conditions.

Description

technical field [0001] The invention relates to the technical field of traffic, and more specifically, to a method for predicting traffic congestion based on particle swarm optimization. Background technique [0002] With the development of the automobile industry, while automobiles bring various conveniences to people, they also create a series of problems, such as traffic congestion, environmental pollution, traffic accidents, etc. my country's traffic conditions lie in the mixed traffic of motor vehicles and non-motor vehicles, the large number of bicycles, the large number of motor vehicles, and the limited capacity of the road network. One of the problems that needs to be solved in the implementation of the strategy of strengthening the country is traffic congestion. In the field of road traffic control, there are many unsolvable problems in the information system for traffic monitoring, data collection and processing, especially in the traffic control system at road in...

AI Technical Summary

Problems solved by technology

However, there are still defects, such as complex algorithm design, inability to realize self-learning, poor real-time performance, etc.

Images