Around the world, governments determine billions of dollars of road investments without an actual road map. This problem isn’t unique to the Philippines. On this information alone, the government funded millions of dollars of road improvement project every year. Before we deployed Openroads, the national government had mapped around 10% of these. There are an estimated 300,000 km of roads in the Philippines. Using these tools, a small team can keep their data up-to-date, even as conditions change and weather impacts alter the network daily. Traffic volume is a key attribute to prioritize road investments. Openroads Vietnam also has a pipeline to process large-scale telemetry data from commercial vehicles to derive historical traffic volume. One of the core attributes tracked by Openroads is the International Roughness Index (IRI) which is a standard methodology to track the surface quality of a road through field surveys. Openroads Vietnam error detection and task interface These feed a tasking dashboard that suggests the most likely fixes. This data goes through an error detection process, which sniffs out impossible turns, duplicate parallel roads, and unjoined intersections. Openroads Vietnam can automatically process and ingest road geographies and conditions collected by RoadLab-Pro - a mobile survey app that collects information about road quality along with other metadata. So we built automated interfaces that amplify data collection. Those officials closest to a road can maintain data around it everyone else across government can work with the same understanding of the state of the road network.Įditing geography by hand, however, is a time-consuming process. Sourcing from Satellites, Cell Phones, and TelemetryĪ collaborative editing model allows government agencies at multiple levels to collaborate in improving the map. This helps to check what the coverage of data collection is at any point in time, and structure incentives to local governing bodies. Openroads Vietnam data dashboardįield data collection is then conflated automatically to the road network and attributes are added. Whole of Network ensures that analysis is done with the complete picture of the network and not in isolation. This approach allows organizations to track progress of the mapping process itself down to the lowest administrative level, by importing all the road network geometries available at the start of the project. In Vietnam, we incorporated the Whole of Network - the overall view of the road network including roads that are investment targets. This data stream directly into decisionmaking pipelines, so governments can build better road networks. To capture roads outside of survey areas, Skynet our machine learning suite, gives managers the power to extract road geography and condition from recent DigitalGlobe and Planet Labs imagery. Automated error checking and conflation detection ensure the data is trust-worthy and dependable.
#OPEN ROADS APP SOFTWARE#
Based off of the software that powers OpenStreetMap (OSM), Macrocosm integrates with mobile surveying apps to support data collection efforts.
At it’s core is Macrocosm, a powerful collaborative editing tool. Openroads leverages tools from Taurus to build a better roadmap for road planners. Development Seed is partnering with the World Bank to deploy Openroads in Vietnam and the Philippines. Openroads is a suite of road mapping and planning tools that empowers road managers to make better investment decisions.
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