Traffic scheduling management and control method based on outgoing path big data analysis

Abstract

The present invention provides a traffic scheduling management and control method based on big data analysis of travel routes, including the following steps: (1) collecting historical traffic data and real-time traffic data; (2) collecting user reservation routes: obtaining travel demand data and making travel reservations, Obtain travel reservation data; (3) Obtain the proposed travel route and scheduled departure time of all clients; (4) Cloud processor predicts road conditions; (5) Allocate travel routes according to the prediction results of future road conditions and send them to the client for confirmation; (6) Position and track the user terminal, and obtain the actual travel path and actual travel time of the user terminal to update the future road condition prediction results; (7) Adjust the traffic equipment signal according to the future road condition prediction results. The beneficial effect of the present invention is that the traffic information can be collected and processed in a centralized way through user reservation of route information and historical and current road condition information, making full use of road resources, effectively reducing congestion and saving travel time.

Description

technical field [0001] The invention relates to the field of traffic big data, and specifically refers to a traffic dispatching control method based on big data analysis of travel routes. Background technique [0002] With the continuous increase of the number of motor vehicles, urban roads become congested or even congested, and traffic congestion will bring safety, economy, environment, health and other problems to the city. In order to travel more smoothly, people often download real-time traffic map software, check the road conditions in the software before travel, and then decide the travel route, in order to avoid traffic congestion as much as possible, reduce travel time, and improve travel efficiency. The existing real-time traffic map has the following deficiencies: (1) only rely on historical traffic data and real-time traffic data to predict future road conditions; (2) route planning is based on real-time traffic conditions and user departure and destination, and ...

AI Technical Summary

Problems solved by technology

The existing real-time traffic map has the following deficiencies: (1) only rely on historical traffic data and real-time traffic data to predict future road conditions; (2) route planning is based on real-time traffic conditions and user departure and destination, and the planned route is prone to lag