RoadNote

Navigation apps (i.e., Google Maps, Apple Maps, Waze, etc.) have become an important part of our daily lives and offer several benefits. Map applications show real-time traffic conditions by combining crowdsourced data from their user base or partners using roadside sensors and historical data. Then the prediction model applies to calculate the travel time, route, alternatives of suggested routes, etc. In addition, these applications use official data from local authorities and user feedback or reports to show road closures. However, map applications often fails to reliably accommodate unscheduled road closures, road maintenance, and emergency management. We investigates erroneous situations and found 23 incidences in 15 days long study where maps fail to navigate the closure information. We propose ROADNote, an automated system that accommodates urban sensors and provides closures update to users. ROADNote provides real-time traffic conditions by automated detections using future-generation commodity sensors.