Accurate determination method of vehicle driving path in road network

Abstract

The invention relates to an accurate determination method of a vehicle driving path in a road network. An entity base station and a computer system are included. And the method comprises the following steps that: (1), numbering is carried out on all road sections in a whole road network with unique codes in the computer system; (2), a virtual base station is laid at any road section of the road network and entity base stations are laid at any other road sections, wherein the any other road sections are connected at two ends of the road section; and according to the above-mentioned laying rule, laying of the whole road network is completed; and (3), an entity base station number that is determined by the entity base station and a vehicle passes by during the driving is introduced into the computer system; and according to the laying rule of the entity base stations and the virtual base stations, it is concluded that at least one virtual base station is arranged between two adjacent entity base stations and thus a whole vehicle driving path is accurately reckoned. According to the invention, the used system has a simple structure; the laying number of the entity base stations is lowered; and whole investment cost and maintenance cost are reduced; therefore, the provided method is a reliable accurate determination method of a vehicle driving path in a road network.

Description

technical field [0001] The invention relates to the field of traffic data collection, in particular to a method for accurately measuring vehicle driving paths in a road network. Background technique [0002] With the rapid increase of the number of vehicles in our country, the pace of road construction has been unable to meet the rapid development of traffic demand. Therefore, with the traffic demand as the guide and the real-time collection, analysis and processing of dynamic traffic information as the starting point, reasonable traffic planning , management and induction, and improving the scientificity, pertinence and effectiveness of urban traffic management will become the development trend of future traffic management. Intelligent transportation based on Internet of Things technologies such as RFID technology, high-definition video recognition technology, data fusion technology, and cloud computing technology requires the collection of the driving path of each vehicle ...

AI Technical Summary

Problems solved by technology

Although this method can accurately measure the driving path of the vehicle in the road network, since a physical base station needs to be set up for each road section in the road network, the investment is large, the maintenance cost is high, and the structure of the acquisition system is complicated. Increased the difficulty of operating the system

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