United Maps is a small company with big goals. We want you to be satisfied with our products and offer all assistance neccessary.
Please consult the FAQ first – or describe the issue, praise or problem to support@walknride.com.
FAQ (frequently asked questions)
Startup at initial load
After its initial installation and sync to the device, map data, streets and POI datasets need to be decompressed and installed. Depending on the physical size of the city and the resulting dataset, this may take some seconds. Subsequently, this will happen much faster.
Street and POI listings
The street list with all possible crossings, precisely geocoded point addresses and POIs is the core element within Walk & Ride. If routing or positioning is initiated, these lists need to be decompressed and initialized first. At first load, this takes some seconds – happening much faster afterwards.
Cartography
“Cartography never has a final version” – cartographers say. The map base data of Walk & Ride is made from three distinct sources. Street data comes from Navteq, cadastral data for Germany is sourced from the federal mapping organization BKG (Bundesamt für Kartografie und Geodäsie). The third source are United Maps' completions and enhancements to POIs and public transport lines and stations. House footprints come with yearly updates, hence chances are that you'll see houses on the map that already have been rebuilt – probably to just another visible footprint. As Walk & Ride is updated whenever there are signicficant changes to one of the sources, small differences may be taken into account. By the way: this isn't different from well-known online mapping services.
If you feel like submitting a change request, please send mail to support@walknride.com and add a screenshot. We'll take it on the list and reflect changes with a upcoming release.
Routing
This version covers railbound public transport with suburban trains, subway and tram. There are no bus lines and stations yet. It might happen that within in cities heavily relying on busses for public transport, routing results are suboptimal.
If a routing request is initiated, a navigable graph is constructed from the street list. The routing algorithm crawls along this utterly complex network to detect the optimized path to the destination selected. This is repeated for pedestrian, public transport and car – as why technically Walk & Ride realizes multimodal routing.
On long distances, the routing may take a couple of seconds – the touch or iPhone still are slower than dedicated servers at other online routing services.
