TITLE:
A Driving Strategy Model of Self-Driving Cars
AUTHORS:
Haoge Liu, Zeyu Shen, Wei Shang
KEYWORDS:
Self-Driving Cars, Driving Strategy, Cellular Automaton, Analog Simulation, Traffic Jam
JOURNAL NAME:
Journal of Computer and Communications,
Vol.5 No.5,
March
23,
2017
ABSTRACT: The self-driving cars are highly developed and about to meet the market, but the driving strategies and corresponding behaviors with others still need to be tested. In this paper, based on its characteristics and behaviors of manual-driving vehicles, we propose the driving strategies of manual-driving cars as well as self-driving cars. And we use the cellular automaton to simulate the traffic reality under different conditions, and to evaluate the efficiency of a road when self-driving cars are put into use. This research can be a reference by traffic planning and vehicles performance test, and further research can be designed in a model which can calculate the efficiency of a road when the percentage of self-driving cars are different.