Vehicle optimal-path navigation method based on vehicle internet

Abstract

The invention discloses a vehicle optimal-path navigation method based on vehicle internet. The vehicle optimal-path navigation method can be used to obtain determined and real-time OD (Origin Destination) information for replacing the original OD information obtained through estimation, so that the calculation of an optimal path is simpler and more reliable. According to the method, a dynamic connection matrix is arranged for marking the connection state of a road network; and a traffic monitoring center solves the optical driving path of a vehicle in the road network by using an improved ant colony algorithm according to the OD information and the dynamic connection matrix, so that the vehicle can respond to the accidents in real time and the purposes of increasing the navigation accuracy and improving the operation efficiency of the vehicle are achieved.

Description

technical field [0001] The invention relates to the field of intelligent transportation systems, in particular to a vehicle optimal route navigation method based on the Internet of Vehicles. Background technique [0002] In the past ten years, with the continuous improvement of national economic development and people's living standards, the number of vehicles on urban roads has increased rapidly, which has brought great pressure to the relatively lagging urban traffic construction. According to statistics, the annual economic losses caused by traffic jams in 39 cities in the United States are about 41 billion US dollars. Traffic congestion has become an urgent problem to be solved in large and medium-sized cities. Intelligent Transportation System (ITS) is a relatively effective solution, which effectively applies advanced information technology, network technology, automatic control technology and computer technology to the entire traffic management system, which can impr...

AI Technical Summary

Problems solved by technology

The acquisition of real-time traffic information required by this type of method is very difficult, has high hardware requirements, high implementation costs, and the navigation accuracy is directly proportional to the geometric progression of the cost.

For example, the system described in the invention patent "An Intelligent Traffic Monitoring and Driving Real-time Navigation System" (CN1783162A) uses Doppler detection sensors and wireless sensors installed on the roadside to calculate and obtain vehicle speed information, and use equipment to monitor The data of the cellular mobile phone network where the driver's mobile phone is located is used for navigation. The system structure is complex, the hardware investment is huge, and the stability of the mobile phone signal is poor, so it is difficult to apply in practice.

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