男女羞羞视频在线观看,国产精品黄色免费,麻豆91在线视频,美女被羞羞免费软件下载,国产的一级片,亚洲熟色妇,天天操夜夜摸,一区二区三区在线电影
Global EditionASIA 中文雙語Fran?ais
Business
Home / Business / Technology

Digital shift boosts transport services

By He Wei in Shanghai | China Daily | Updated: 2019-09-11 09:53
Share
Share - WeChat
A road test of a smart Panda bus, which uses a combination of AI technologies including computer vision, biometrics, autonomous driving and voice recognition, was conducted in Tianjin in May. [Photo by Jia Chenglong/For China Daily]

Smart vending machines and individual screens offer providers ways to monetize daily commutes

Public transportation is a critical part of a city's infrastructure. Yet its advancement has not kept pace with technological development, setting the stage for artificial intelligence to lend a helping hand.

In the eyes of tech gurus like DeepBlue Technology, transportation services are straining under the load and commuters are being driven to consider other forms of transport in urban environments.

For transport providers such as city governments and bus operators, one major pain point is that the industry is considered a loss-making venture in order to benefit the wider public, said Chen Haibo, founder and CEO of DeepBlue, a Shanghai-based AI startup.

"Some efforts have been made to address this issue - such as privatization and price discrimination - but these solutions do not tackle the root cause, which is that the bare-bones services offered often do not meet commuter needs," Chen said.

Riding to the rescue is a solution known as Panda Bus, which uses a combination of AI technologies including computer vision, biometrics, autonomous driving and voice recognition to give buses a digital makeover.

The self-driving smart Panda fleet is already operating in 10 cities across China, with the latest expansion in Shanghai in August. The goal is to reach 20 cities by the end of this year.

Apart from self-driving, the vehicles promise to monetize the downtime of a daily commute, which Chen deemed as a genuine game changer.

1 2 Next   >>|
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
CLOSE
 
主站蜘蛛池模板: 扶绥县| 舒兰市| 托克逊县| 甘孜| 澄迈县| 盱眙县| 马尔康县| 固阳县| 临清市| 广元市| 巫山县| 子洲县| 西青区| 尚义县| 呼和浩特市| 太仓市| 涞源县| 花莲县| 嵩明县| 三门县| 本溪市| 星座| 临沭县| 遵化市| 南川市| 五寨县| 康马县| 方城县| 滦平县| 开化县| 渝北区| 花莲县| 常熟市| 修武县| 高平市| 图片| 肇源县| 龙井市| 潮州市| 三都| 兴文县| 新兴县| 海宁市| 永嘉县| 连江县| 怀远县| 遵化市| 临沧市| 叙永县| 铁力市| 珠海市| 义乌市| 会东县| 郧西县| 甘德县| 盖州市| 乳山市| 贵南县| 芮城县| 泉州市| 婺源县| 罗定市| 全州县| 玛纳斯县| 冀州市| 定州市| 洱源县| 弥渡县| 汉中市| 六枝特区| 井研县| 桃江县| 辉南县| 阿合奇县| 三门峡市| 友谊县| 凤冈县| 江北区| 友谊县| 云安县| 称多县| 库伦旗|