Abstract: The present disclosure relates to methods and systems for automated road incident detection using vehicle sensor data to detect road incidents in real time. The vehicle sensor data is provided from sensors on vehicles on the road segment. The methods and systems update a map with the detected road incidents in real time of detecting the road incident, resulting in updated maps with the road incident information and updated traffic flow information on the maps.

Abstract: Methods and systems for identifying vehicle filling stations and generating related visual indications are provided. In some examples, vehicle data is received that corresponds to a plurality of vehicles. From the vehicle data, a first subset of data is extracted that corresponds to location data and one of a fuel or charge level state change of each of the plurality of vehicles. One or more locations of one or more of the plurality of vehicles are identified, based on the location data, when the fuel or charge level state change corresponds to an increase in a fuel or charge level of the one or more of the plurality of vehicles. One or more visual indications are generated that correspond to the identified one or more locations.

Abstract: Methods and systems for estimating a number of people at a point of interest using vehicle data are provided. In some examples, vehicle data is received, from a plurality of vehicles, that corresponds to a geographic boundary encompassing a point of interest. From the vehicle data, a first subset of data corresponding to door sensor information is extracted. Based on the first subset of data, an estimated number of people within the geographic boundary, during a specified period of time, is determined. An indication corresponding to the estimated number of people within the geographic boundary is generated.

Abstract: Methods and systems for estimating a number of people at a point of interest using vehicle data are provided. In some examples, vehicle data is received, from a plurality of vehicles, that corresponds to a geographic boundary encompassing a point of interest. From the vehicle data, a first subset of data corresponding to door sensor information is extracted. Based on the first subset of data, an estimated number of people within the geographic boundary, during a specified period of time, is determined. An indication corresponding to the estimated number of people within the geographic boundary is generated.

Abstract: Methods and systems for generating traffic data are provided. An example method includes receiving one or more routes from a first location to a second location, receiving vehicle data along each of the one or more routes, and segmenting the one or more routes, based on a plurality of grid spaces on a map. The method further includes determining, based on the vehicle data, a first algorithm corresponding to a first grid space from the plurality of grid spaces and a second traffic algorithm corresponding to a second grid space from the plurality of grid spaces. The method further includes generating traffic data, along the one or more routes, using the first algorithm and the second algorithm.