Abstract
With the continuous development of unmanned driving technology, more and more unmanned vehicles are on the road to start testing, under this circumstance, how to control these unmanned vehicles has become an urgent issue. Based on the basic idea of virtual track and cellular automata model, this paper researches and designs a microscopic simulation system of the operation process of unmanned vehicles. The aim of this paper is to use the idea of strong controllability of railways to control unmanned vehicles in the form of train diagram to ensure their orderly safety on the road. The stability and correctness of the system are verified through case analysis. At the end of the article, the future research direction is prospected.
Highlights
The popularization of cars makes our travel more convenient and faster, but the ensuing traffic congestion and traffic accidents cause more loss of life and property
Compared with human beings, unmanned vehicles are faster, more responsive, less affected by the environment, and they can avoid traffic accidents caused by human factors
Design of Microscopic Simulation System for Operation Process of Unmanned Vehicle Based on Virtual Track
Summary
The popularization of cars makes our travel more convenient and faster, but the ensuing traffic congestion and traffic accidents cause more loss of life and property. With the progress of science and technology and the development of artificial intelligence, unmanned vehicles[1][2] have appeared. Compared with human beings, unmanned vehicles are faster, more responsive, less affected by the environment, and they can avoid traffic accidents caused by human factors. Unmanned vehicles can accurately identify traffic signals and road markings and strictly follow the preset procedures[3]. Unmanned vehicles make driving more standardized and traffic jams be avoided. The operation of unmanned vehicles faces some difficulties. How to obtain environmental information more accurately under the changeable and unpredictable traffic conditions[4]~[6] brings great challenges to unmanned vehicles
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