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究竟是因为车水马龙才被称为城市?还是因为是城市,所以这里才是车水马龙的模样?谁也给不出答案。我们唯一确定的是,交通,是一个城市的血脉。同时,伴随着工业的发展,地球上的车辆就像蚂蚁一样,充斥在城市的每一个角落里。但是,我们不能像消灭害虫那样去捕杀这些人类用了许多个世纪不断完善和创新的成果,更无法回避它所带来的便捷。 终于,手机开启了智能时代,近乎所有可以在电脑上查询的东西,一台手机就可以完成。我曾小声的问这个时代:“这足以改变世界么?”我听到了这个时代的人用行为回复的震耳欲聋的声响:人们在手机上购物、在手机里完成日常支付、在手机里去打开另一个虚拟世界、在手机里看见远在天边的那个人的脸。 同时,它还告诉我,手机地图就是车水马龙的模样,那些线就是城市的血脉,那些颜色,就是万千车辆汇聚而成的能量。那些红色的线就是血液奔腾、激荡昂扬足以“震慑四方”的地方;而那些绿色的,就是血液宛如溪水,静静流淌披着“岁月静好”的衣裳。


iqbal.anwar155 how can i read this
iqbal.anwar155 in chinese
christinerotsaert123 nice
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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
Android Cars
The Peoples’ A.I.