Self-directed Robot for Car Driving using Genetic Algorithm

Harivansh prasad Sharma, R. Agarwal, M. Pant, S. Karatangi
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引用次数: 1

Abstract

The big issue with a human driving car is traffic, with the current continuous growth in the world population. The second big issue with the growing population is creating huge chaos, which leads to accidents. Every year nearly 1.35 million people lose their lives due to traffic crashes, and 20 to 50 million face serious injuries with some untreatable disability as of their road injury. Over 80% of accidents happen due to driver error. Other issues are the efficiency of the car as we are slowly transforming into the electric car. This paper introduced car with the self-driving feature using Genetic Algorithm to reduce the traffic with route optimization, and by reducing traffic, so that many problems related to driving can be solved. It minimizes the rate of an accident and also maximizes the efficiency of the car.
基于遗传算法的汽车自动驾驶机器人
随着目前世界人口的持续增长,人类驾驶汽车的最大问题是交通。人口增长的第二个大问题是造成巨大的混乱,从而导致事故。每年有近135万人因交通事故丧生,2000万至5000万人因道路交通事故而严重受伤,并造成一些无法治愈的残疾。超过80%的事故是由于驾驶员的失误造成的。另一个问题是汽车的效率,因为我们正在慢慢转向电动汽车。本文介绍了采用遗传算法对具有自动驾驶特征的汽车进行路径优化,减少交通流量,通过减少交通流量,从而解决许多与驾驶相关的问题。它将事故发生率降到最低,同时也将汽车的效率最大化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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