Self-Driving Robotic Cars

Jelena L. Pisarov, G. Mester
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引用次数: 2

Abstract

Even the behavior of a single driver can have a dramatic impact on hundreds of cars, making it more difficult to manage traffic. While the attempts to analyze and correct the traffic patterns that lead to congestion began as early in the 1930s, it wasn't until recently that scientists developed simulation techniques and advanced algorithms to create more realistic visualizations of traffic flow. In experiments conducted by Alexandre Bayen and the Liao-Cho, which included several dozen cars in a small-scale closed circuit, a single autonomous vehicle could eliminate traffic jams by moderating the speed of every car on the road. In larger simulations, the research showed that once their number rises to 5-10% of all cars in the traffic, they can manage localized traffic even in complex environments, such as merging multiple lanes of traffic into two or navigating extremely busy sections.
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自动驾驶机器人汽车
即使是一个司机的行为也可能对数百辆汽车产生巨大影响,使交通管理变得更加困难。虽然早在20世纪30年代就开始尝试分析和纠正导致拥堵的交通模式,但直到最近,科学家们才开发出模拟技术和先进的算法,以创建更逼真的交通流量可视化。在Alexandre Bayen和Liao-Cho进行的实验中,几十辆汽车在一个小规模的封闭电路中行驶,一辆自动驾驶汽车可以通过减缓道路上每辆汽车的速度来消除交通堵塞。在更大规模的模拟中,研究表明,一旦它们的数量上升到交通中所有汽车的5-10%,它们就可以在复杂的环境中管理局部交通,比如将多条车道合并为两条,或者在非常繁忙的路段行驶。
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