Integrated networked experimental platform for micro-traffic simulator and multi-driving simulator

Abstract

The invention relates to an integrated network experiment platform for realizing the functional integration of a microscopic traffic simulator and multiple driving simulators. Each driving simulator acts as a sub-console to detect and record the driver's driving behavior parameters and the state of the experimental vehicle in real time, and regularly sends the above information to the main console micro-traffic simulator through the network communication protocol; After the information is processed, the current traffic flow parameters are analyzed and calculated and returned to each driving simulator; after the driving simulator processes the received road network traffic flow parameter information into images, the driver can see it on the display screen of the driving simulator. To the vehicles near the experimental vehicle for the driver to make driving decisions. This platform breaks through the constraints that traditional driving simulators can only study individual driving behaviors, and makes it possible to study the influence of multiple people or a certain group of driving behaviors on the overall traffic flow state; The traffic flow simulation is more realistic, which significantly improves the driving simulator's ability to experiment with traffic flow behavior.

Description

technical field [0001] The invention belongs to the technical field of intelligent transportation system and traffic simulation, and more specifically, the invention relates to a networked experiment platform for realizing the integration of a microscopic traffic simulator and multiple driving simulators. Background technique [0002] The road traffic system is a complex system composed of four elements: people, vehicles, roads, and traffic environment. These elements act independently and restrict each other, and jointly determine the operation status of this complex system. It is very difficult to theoretically analyze the traffic system by using mathematical models in the traditional way, and the field demonstration is limited by the conditions of the actual scene, the implementation cost is high, and the safety is not high. Therefore, it is a new method to conduct experimental research on driving behavior. technical means. The development of virtual reality technology h...

AI Technical Summary

Problems solved by technology

However, this invention has great limitations: firstly, the ability of a single vehicle to influence the overall traffic flow is limited; secondly, most of the driving behavior is not the individual behavior of a certain vehicle, but a group behavior Group behavior, such as lane change behavior Design multiple vehicles in the own lane and the target lane; and this invention cannot conduct high-precision virtual experiments on the interactive behavior of such multiple vehicles, so its practical value is also limited

It not only solves the shortcoming that the micro-traffic simulator cannot reflect the diversity of human behavior in real time, but also overcomes the limitations of the traditional driving simulator that the single vehicle has little influence and cannot study the influence of the vehicle group on the traffic flow

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