智慧交通
【智慧交通】2025年,国庆节回家之路

< 返回
投票

2025年国庆节,清晨六点半,我从甜美的睡梦中醒来。我的机器人把今天一天的行程规划投射在我的面前。起床刷牙洗脸之后,我穿上运动服,下楼开始美好的一天。 2025年,无人驾驶早就不是什么新鲜事物,马路上来来往往的智能汽车,内置了海思智能机器人控制系统,根据城市交通系统的实时调度以及主人的设定,平稳的向前行驶着。车里的朋友们正在端着一杯咖啡,对着车内智能映像屏优闲的安排着一天的工作。 我按下手上的华为手表X:“小华,9点回老家”。“好的,9点回老家。路线已经帮您设定完毕,小黄(我的汽车)已经记录行程并设置最优路线,预计9点50分到家,主人您是否需要打电话给叔叔通知一下?”小华应答。 早上7点半,我结束了跑步并走进附近的智能车棚,伸出手表刷卡验证之后,一辆智能自行车停在我的面前,骑上去之后,车把上的智能屏开始自动播报:“您好,您的车辆平均配速为35km/h,预计到目的地胖东来生活广场的时间为8点01分,建议您绕行颍昌路以规避可能存在的交通拥堵。” 从生活广场吃完早饭走出来,已经是8点半,,对着手表X说到:“小华,帮我叫辆车回家。”“好的,主人,您稍等。”3分钟后,一辆智能出租车停在了我的面前并自动打开了车门。我迈步上了车,车载智慧系统自动播报:“乘客您好,感谢您乘坐T0201号车,预计8点50分抵达汽火车站,是否出发?”“走吧”,我说道。 不疾不徐的伸出手上的华为手表X,我完成身份验证走入高铁车厢。椅子上的背板屏幕正在播放我最喜欢的“大国崛起”纪录片,但我还是决定小憩片刻,于是把背板屏幕放下来,躺在椅子上闭上了眼睛。 30分钟后,背板轻微振动把我从熟睡中叫醒,翻开背板,动车智能乘客系统用黄色大字提醒我5分钟后即将到站。我点了一下屏幕上的预约智能出租车的提示,选定T2025号出租车。 9点40分,火车站前停好了我的T2025号出租车,我坐了进去并对着车载智能系统说到:“小绿,送我回家。放一些轻音乐来听。”“好的”,小绿答道。随着致爱丽丝的钢琴曲响起,我顺利抵达到了家门口。 拿起给侄子带的智能机器人,我微笑着向正飞快奔向我的小侄子张开了怀抱。

留言:

留言
kian_les2008 nice,,,keep it up!
nabeel.zia2 I suggest everyone must use English so that everyone globally can understand your idea :)
christinerotsaert123 完美的智慧生活,谢谢分享
87997591 看看
895068916 谢谢大家的支持,希望这样的一天可以尽快到来!
cq397169128 写的真棒,我也想过这样的生活
iqbal.anwar155 nice
iqbal.anwar155 explained very well.
13
2015
8
1
投票
投票前,请记得登录哦,     点击登录 /  注册
其他的故事:
343号
Location context has become increasingly important for applications that capture real-world data, including those in the logistics and navigation markets. Whether tracking location of a delivery truck or providing turn-by-turn navigation, the need for a seamless way to accurately and intelligently identify the location and where their data was captured is growing. Fortunately, advancements in precise location-based services (LBS) technology are making it possible to provide mobile carriers, application developers and enterprises with a one-stop shop services platform for building or enhancing cloud-based, embedded and hybrid LBS applications, especially in IoT deployments. The platform may incorporate multiple modular technology suites, including indoor and outdoor positioning, geo-fencing, location fraud detection, maps, search, routing, navigation, real-time messaging, and analytics. Here is how the power of connected-location technologies might play out when a consumer or commercial delivery driver is in a retail store or high-rise office location: • The driver searches for their destination on a desktop, mobile or in the vehicle. All are sync’d seamlessly with a highly advanced cloud navigation platform. • Navigation is started to the destination with the vehicle’s navigation system. The platform routing engine alerts the driver to the fact that their final destination does not have parking immediately in front, and routes them to the nearest parking garage instead. • As the vehicle nears the parking garage, the mapping engine queries the CCS and loads the indoor map data for the parking garage, along with the real-time data for empty spots. The route is updated to guide the vehicle to the empty parking spot nearest to the driver’s final destination. • As the vehicle enters the garage and loses GPS coverage, position determination automatically switches over to Wi-Fi and inertial sensor data. This platform will then use this data to accurately guide the driver to the empty spot. If equipped, the vehicle can even park itself. • Using a cloud based navigation system, the remaining route to the driver’s final destination is automatically transferred to their mobile device. Continuing to utilize indoor positioning technology, the driver’s mobile device now guides them to their final indoor destination, depending upon the mix of the signals available to the device, and the hybrid-positioning engine to provide location. • Returning to the driver’s vehicle is a simple matter of tapping the ‘Take Me Back’ button on their mobile phone, and the needed audible and visual cues are provided to guide them back to their vehicle. • Once the driver arrives within visual distance of the vehicle, geo-fence alerts can be used to flash the vehicle lights, pulse the horn or start the engine.
Bringing Location Context to Logistics and Automotive Markets
7
1554
340号
Android Cars
9
1740
311号
The Peoples’ A.I.
3
1417