在GrabMaps中的道路定位
In 2022, Grab achieved self-sufficiency in its Geo services. As part of this transition, one crucial step was moving towards using an internally-developed map tailored specifically to the market in which Grab operates. Now that we have full control over the map layer, we can add more data to it or improve it according to the needs of the services running on top. One key aspect that this transition unlocked for us was the possibility of creating hyperlocal data at map level.
在2022年,Grab在其地理服务方面实现了自给自足。作为这一转变的一部分,一个关键的步骤是转向使用一个专门针对Grab运营市场的内部开发地图。现在我们对地图层有了完全的控制,我们可以根据顶层服务的需求添加更多数据或改进它。这一转变为我们打开的一个关键方面是在地图层面上创建超本地化数据的可能性。
For instance, by determining the country to which a road belongs, we can now automatically infer the official language of that country and display the street name in that language. In another example, knowing the country for a specific road, we can automatically infer the driving side (left-handed or right-handed) leading to an improved navigation experience. Furthermore, this capability also enables us to efficiently handle various scenarios. For example, if we know that a road is part of a gated community, an area where our driver partners face restricted access, we can prevent the transit through that area.
例如,通过确定一条道路所属的国家,我们现在可以自动推断该国家的官方语言,并以该语言显示街道名称。在另一个例子中,了解特定道路的国家,我们可以自动推断行驶方向(左手驾驶还是右手驾驶),从而提供更好的导航体验。此外,这种能力还使我们能够高效处理各种场景。例如,如果我们知道一条道路是一个有门控社区的一部分,这是我们的司机合作伙伴面临限制通行的区域,我们可以阻止通过该区域的运输。
These are just some examples of the possibilities from having full control over the map layer. By having an internal map, we can align our maps with specific markets and provide better experiences for our driver-partners and customers.
这些只是拥有对地图图层的完全控制所带来的可能性的一些例子。通过拥有内部地图,我们可以将地图与特定市场对齐,并为我们的司机合作伙伴和客户提供更好的体验。
Background
背景
For all these to be possible, we first needed to localise the roads inside the map. Our goal was to include hyperlocal data into the map, which refers to data that is specific to a certain area, such as a country, city, or even a smaller part of the city like a gated community. At the sam...