Intelligent miniature cooperative vehicle infrastructure system

Abstract

The invention provides a miniature intelligent cooperative vehicle infrastructure system applied to the technical field of intelligent transportation. The system comprises an intelligent miniature vehicle and a miniature road sand table. Based on a scaling rule, the dimension and steering performance parameters of the intelligent miniature vehicle are calculated, and the speed control method of the intelligent miniature vehicle is deduced via the introduction of power factors; and according to the principle of geometric similarity, the dimension and the road turning radius of the sand table are calculated, and the road friction coefficient of the sand table is obtained by employing the relation between the vehicle speed and the brake distance. The miniature intelligent cooperative vehicle infrastructure system capable of maintaining similar physical performance between a model and an object can be designed via parameter scaling calculation methods of the intelligent miniature vehicle and the miniature road sand table, accurate and reliable object verification is provided for the research of the intelligent cooperative vehicle infrastructure technology, real simulation data is obtained, and high cost of traffic test is reduced.

Description

Technical field [0001] The invention belongs to the technical field of intelligent transportation, and specifically relates to a vehicle-road coordination system based on a scale-down model. Background technique [0002] At the initial stage of research on the vehicle-road collaboration system, the actual scene transformation cost is too high, the system working conditions are complex and changeable, and it is difficult to experiment on the traffic scene, and the experiment is also dangerous and difficult to operate. The simulation experiment scene of the scaled-down vehicle-road coordination system based on the similarity theory can help traffic system testers to complete the research and analysis of the experiment correctly, quickly and economically through the test of the scaled-down model. Using model tests to predict the traffic characteristics of large-scale original models is of great significance to the research of new intelligent transportation systems. The test results...

AI Technical Summary

Problems solved by technology

[0003] In the existing technology, there are safety risks in the direct application of the new vehicle-road coordination technology to actual traffic for testing, and the testing costs are high or even difficult to operate.

The software simulation test cannot meet various experimental requirements, the authenticity of the data acquisition is poor, and the agreement between the simulated value and the measured value is poor

Existing traffic simulation software vehicle operation depends on the car-following model and road change model, and there is a large deviation between the actual vehicle operating state, and the software simulation is only a functional simulation, and the simulation involving wireless communication and timing cannot be accurate. The mock implementation of

The authenticity of the simulation data acquisition is poor, and the accuracy of the simulation results is low

At present, the scene functions of the traffic experiment sand table test site are not perfect. It mainly realizes information collection and signal control, and does not integrate new vehicle-road coordination technology. The model cars running in the sand table are relatively low in intelligence. requirements

And the common traffic miniature model design is a model that is reduced according to a fixed geometric ratio, and there is little consideration for the similarity of the physical performance of the model

This miniature model cannot realistically simulate the traffic environment

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