日韩精品久久一区二区三区_亚洲色图p_亚洲综合在线最大成人_国产中出在线观看_日韩免费_亚洲综合在线一区

Global EditionASIA 中文雙語(yǔ)Fran?ais
World
Home / World / Kaleidoscope

AVs show promise, also pose questions

By Barry He | China Daily Global | Updated: 2022-04-26 09:33
Share
Share - WeChat
A Waymo autonomous vehicle drives along Masonic Avenue in San Francisco, California on April 11, 2022. [Photo/Agencies]

Police in the United States city of San Francisco were bemused recently after stopping a car on the street and finding no driver inside.

Viral footage of the incident showed a driverless car, fully autonomous and only of interest to the officers because of its lack of displayed headlights.

To the humorous delight of onlookers filming, the police were left looking sheepish as they struggled to find a human to take responsibility for the apparent traffic violation. No harm was done in this situation; however, first-responders now increasingly need to be trained to deal with autonomous vehicles, or AVs, on the roads; and they are not the only ones who need to learn more.

Big changes are yet to come for every road user on our streets, as AV technology continues to edge toward the mainstream.

Self-driving cars promise many positive changes to our roads. The phenomenon of so-called phantom traffic jams, or stop and go traffic as it is otherwise called, are inefficient for road fl ow and can lead to dangerous situations for road users. Self-driving cars, allegedly, will be able to reduce congestion and improve flow by guiding human-controlled vehicles in traffic. Drivers must maintain a consistent speed and distance between each other to avoid issues, however, humans have a natural tendency to speed up toward the car in front of them.

When automated vehicles keep a constant distance between themselves and human drivers, blockages can be reduced significantly. It is estimated that once autonomous vehicles reach 5 to 10 percent of all cars on the road, subtle changes made by the AI driving programs will be able to manage localized traffic efficiently.

However, despite promising simulation models, challenges remain. Managing self-driving cars on the road could be tricky in emergency situations. As of yet, there is little data to instruct first-responders reliably on how they should disable or move self-driving cars involved in accidental crashes or that have been abandoned.

Override systems that can route communication back to the car company's HQ and to a human operator often work well in practice; however whether the same could be reliably said if the car catches fire or suffers a major collision remains to be seen. The jury is also still out on whether they will be able to function in situations such as forest fires, which is a common occurrence in the AV research-heavy state of California, where smoke and high temperatures could obstruct automated sensors.

Despite looking almost identical to our current cars, self-driving vehicles are a completely different beast and as time goes on, our general knowledge of how to deal with them will improve.

Many first-responder courses already teach officers to identify autonomous models by sight, as well as disabling tactics for when things go wrong.

For example, some AV models will not drive if a door is kept open, which should be done while the power source is still being disconnected.

Other models may not drive if an airbag is deployed, giving emergency workers time to neutralize a potentially hazardous situation before it develops.

Likewise, manufacturers are constantly improving safeguarding measures, such as training the AI to recognize police sirens and to pull up at the side when the car hears a certain frequency.

The increasing prevalence of cars with automated systems on our roads means that more and more of us will become affected by these developments. This is creating urgency for both road users and first responders to understand this rapidly developing technology in order to keep our communities safe.

Barry He is a London-based columnist for China Daily.

Most Viewed in 24 Hours
Top
BACK TO THE TOP
English
Copyright 1995 - . All rights reserved. The content (including but not limited to text, photo, multimedia information, etc) published in this site belongs to China Daily Information Co (CDIC). Without written authorization from CDIC, such content shall not be republished or used in any form. Note: Browsers with 1024*768 or higher resolution are suggested for this site.
License for publishing multimedia online 0108263

Registration Number: 130349
FOLLOW US
主站蜘蛛池模板: 日韩在线观看视频一区 | 偷拍亚洲制服另类无码专区 | 国产精品大片在线观看 | 欧美综合精品 | 五月网站 | 天天综合色天天桴色 | 欧美笫一页 | 精品视频二区 | 2021成人国产精品 | 国产精品果冻麻豆精东天美 | 国产视频导航 | 久9久9 | 欧美 日韩 中文字幕 | 波多野结衣在线网址 | 久久久伊人色综合A片无码 国产精品区一区二区三 | 日韩欧美在线一区二区三区 | 日韩精品亚洲人成在线播放 | 伦理一区二区 | 亚洲高清成人欧美动作片 | 亚洲精品乱码8久久久久久日本 | 亚洲免费在线 | 天堂中文资源在线8 | 亚洲视频在线观看网站 | 国产一区二区三区免费 | 国产一级毛片高清视频 | 欧美性高清视频免费看www | 色宅男看片午夜大片免费看 | 国产精品美女久久久久久免费 | 欧洲精品欧美精品 | 国产高清视频a在线大全 | 国产精品久久久久国产A级 首页亚洲国产丝袜长腿综合 | 国产高清在线精品一区αpp | 久久com| 黄片毛片免费观看 | 欧美日韩一区二区在线视频播放 | 亚洲综合在线播放 | 久久中文字幕在线 | 国产高清在线精品一区免费97 | 一区二区三区av | 精品国精品国产自在久国产应用 | 精品久久久久久久久久 |