Implementation method of design speed adjustment under vehicle networking based on VISSIM simulation

Abstract

The invention discloses an implementation method of design speed adjustment under vehicle networking based on VISSIM simulation. A city road model is built by applying VISSIM, a speed optimization model is established in MATLAB to simulate a speed optimization decision under the condition of vehicle networking, then results are imported into the VISSIM for real-time controlling, visualization simulation of two road models under the vehicle un-networking state and networking state is realized, finally, evaluation data are output and compared, and thus the road design speed is adjusted. According to the implementation method of design speed adjustment under vehicle networking based on VISSIM simulation, the analysis result shows that through the speed optimization model established in the MATLAB, driving conditions under vehicle networking can be controlled and simulated in the VISSIM, and the vehicle travel speed, travel time, delay time, and other data are obtained; and the road modelin the VISSIM is controlled through the vehicle speed optimization decision established in the MATLAB, and the implementation method of design speed adjustment under vehicle networking is provided.

Description

technical field [0001] The invention relates to a method for realizing speed adjustment of vehicle networking design based on VISSIM simulation, and belongs to the technical field of road design under unmanned driving. Background technique [0002] The demand for urban traffic continues to grow. How to travel more efficiently and conveniently has become an urgent problem for traffic engineers and urban planners. The emergence of autonomous driving technology has brought a new dawn to urban traffic. It can not only liberate the driver's hands, but also Make accurate route decisions through real-time positioning and communication systems, making traffic travel safer and faster, and greatly improving traffic throughput and road utilization. [0003] Due to the limitations of various factors, autonomous driving technology has not been widely popularized on urban roads, mainly for the following three reasons. First of all, there is still a lot of room for improvement in AI artif...

AI Technical Summary

Problems solved by technology

First of all, there is still a lot of room for improvement in AI artificial intelligence technology related to autonomous driving. In many road tests abroad, there are still problems such as insufficient sensor accuracy, insufficient route decision-making, and insufficient scientific and effective emergency handling solutions; Secondly, to popularize the technology of automatic driving, there must be road infrastructures that are compatible with it, such as the improvement of public transportation stations, road divergence, improvement of vertical and horizontal sections, improvement of road design speed, etc.; third, in Under the current social background, people are still skeptical about the safety performance of self-driving vehicles, which is also one of the obstacles to the widespread adoption of this technology

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