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Toggle navigation ♥ Donate Services Tools Disaster Maps Maps Client Classic Maps Client QGIS Plugin Python SDK JavaScript SDK R SDK Examples Leverage fleet scheduling for disaster response Avoid Flooded Areas Healthcare Access Analysis Optimize lication is frequently used by logistics organizations trying to figure out the most optimal route for deliveries. Pelias Geocoding Geocoding transforms a description of a location, such as a place name, street address or postal code, into a normalized description of the location with a point geometry. Our geocoding service is built on top of the sophisticated Pelias Stack which aggregates several data sources. POIs Openpoiservice allows you to find places of interest around or within given geographic coordinates. You can search for categories of points of interest around a point, path or even within a given polygon and consume the rich meta information returned by the api for your needs. Elevation Use our Openelevationservice to easily enrich your 2D geometries with height information based on SRTM data. Pass Point or Line geometries in different formats and recieve the 3 dimensional version back within milliseconds in your preferred format. Optimization Traveling Salesmen and other Vehicle Routing Problems are no problem for our optimization endpoint. Based on the excellent Vroom project this service provides you with optimal routes while considering your specific vehicle and time constraints. planning tools: Disaster maps client Based on the classic version, our client for disaster management is developed to support the work of humanitarian actors and disaster responders in the most vulnerable and disaster prone regions of the world. Thanks to the work of the Humanitarian OpenStreetMap Team and the Missing Maps project, in disaster situations the OSM data is continually updated and enriched with critical information. By limiting the service to active disaster regions, it is possible to recalculated the routing graph once every hour on basis of the most current OSM data. New maps client Our new maps client was built with the awesome VueJs framework is already available. The new client keeps all functionalities of the previous one, but is completely responsive and optimized for usage on both mobile and desktop browsers, while brings a bunch of new features . We are aiming for a more intuitive map interface that makes route planning even easier and are putting a lot of thought in structural and performance enhancements. Help us to improve your user experience by providing us with feedback via our ask forum . The source code is available for everybody on GitHub . A big advantage of the new approach is the possibility to convert the client to a native mobile app with ease, which brings us closer to offering an actual live routing app. So stay tuned for future developments! Classic maps client Our classic route planning tool enables you to use most of the openrouteservice API with only a few clicks on a map. Choose from a variety of profiles and set up to 50 waypoints to plan your route. Customize it by avoiding areas, specific street types or whole countries. Query POIs along your route, perform accessibility analyses for multiple points or simply inspect locations. These and many more amazing features are offered free of charge and in different languages. But the best thing about this: It’s open source , so with a little bit of JavaScript knowledge you can easily adjust the client to your personal use case. Used by Interested? Learn more GitHub Projects New maps client Classic maps client Python ors SDK R ors SDK JavaScript ors SDK Ors QGIS Plugin Openpoiservice Developers Dashboard API Documentation API Restrictions ORS Backend Documentation Reset password Login Help & About Forum FAQ Uptime and Status Terms of Service Privacy Policy Imprint Contact Team openrouteservice.org (ORS) Follow Retweet on Twitter openrouteservice.org (ORS) Retweeted Klaus Tschira Stiftung @ktstiftung · 13 Jul Ungleiche Verteilung von #OpenStreetMap ?️ Daten weltweit. Forschende von @GIScienceHD haben sich damit und mit den möglichen Auswirkungen auf Forschung und humanitäre Einsätze beschäftigt. Der Artikel erschien in @NatureComms. Hier geht es zur Medieninfo: https://ow.ly/Bv0450Paq7f Retweet on Twitter openrouteservice.org (ORS) Retweeted GIScienceHD + HeiGIT @gisciencehd · 12 Jul You have probably seen that last week, Benjamin Herfort et al. published an article on the uneven distribution of building data in #OSM in @NatureComms ? ?But did you know that you can easily access completeness data for 13.189 cities in #ohsomeHeX? ?https://tinyurl.com/heinature Retweet on Twitter openrouteservice.org (ORS) Retweeted GIScienceHD + HeiGIT @gisciencehd · 12 Jul ?️They calculated the amount of buildings in urban areas world-wide and compared these data to the building data available in #OpenStreetMap You can click through the results of this completeness analysis for yourselves on ohsome HeX here: ?https://hex.ohsome.org/#/urban_building_completeness/2023-01-01T00:00:00Z/6/49.728484075919056/10.195223568808009 Retweet on Twitter openrouteservice.org (ORS) Retweeted GIScienceHD + HeiGIT @gisciencehd · 12 Jul Here’s what they found: ?Building data are unevenly spaced! ?️ ?For regions with high actual building density (East/South East Asia, Latin America) (medium & high #HDI), only limited data is available. ?For regions with low HDI, #HumanitarianMapping led to better coverage ? 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