l 由于自动驾驶的实现，可以使出行更加数据化，首先拼车可以更合理、数量更多。 l 不会再出现高峰期，路口拥堵后，大家继续行驶进入路口区域造成大面积拥堵的情况。 l 可以更精准的计算出行时间。乘坐公共交通时，出发时和到站点时会自动提醒，下一班次到达时间，尽量避免大家到了站点看着车走，或者在站点等车时间过长。
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