Auxiliary vehicle traveling path system based on mobile terminal

Abstract

The invention discloses an auxiliary vehicle traveling path system based on a mobile terminal. The auxiliary vehicle traveling path system comprises a vehicle flow detecting module, area servers, a top layer server, an application server and an application client side. A camera module is directly connected with an image detecting module to form the flow detecting module. A plurality of detecting modules in one area are connected with the area servers through a router, and the area servers can be arranged in multiple layers according to the size of the area. All the area servers in different areas are connected with one top layer server through the router. All top layer servers under one subnet are connected with the application server through the router. The application server is connected with the internet through the router. The application client side interacts with the application server through the internet. The flow of vehicles in a large range can be monitored in the manner that a layering type networking mode is adopted in the vehicle flow real-time monitoring network, a traffic regulation department is helped to carry out traffic dispatching, and people can be helped to select the optimal driving path.

Description

technical field [0001] The invention relates to the traffic field, in particular to a travel route auxiliary system based on a layered network structure and using a method of combining real-time traffic flow and historical data to obtain the final prediction result of intersection traffic flow. Background technique [0002] At present, the traffic network is becoming more and more complex, and the number of private vehicles is increasing sharply. How to plan the optimal travel route in such a complex traffic network has become very important. Most of the existing routing tools and vehicle navigation systems plan the shortest path according to the road network level and geometric topological features, and the optimal path obtained is the shortest Euclidean distance or the path with a higher road network level. It can be well realized without congestion, but this method only provides the driving distance and driving speed to predict the driving time. However, with the increase...

AI Technical Summary

Problems solved by technology

Most of the existing routing tools and vehicle navigation systems plan the shortest path according to the road network level and geometric topological features, and the optimal path obtained is the shortest Euclidean distance or the path with a higher road network level. It can be well realized without congestion, but this method only provides the driving distance and driving speed to predict the driving time. However, with the increase in the number of roads and the number of vehicles, the traffic situation becomes complex and changeable, with many Strong randomness, the geometric shortest path alone cannot meet the requirement of the shortest travel time

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