Abstract: A device may receive a ticket identifier associated with a ticket, a vehicle identifier associated with a vehicle, and video data tracking the vehicle to a parking spot in a parking area. The device may process the video data, with models, to identify the parking spot and a parking spot location, and may associate the ticket identifier, the vehicle identifier, and the parking spot location. The device may receive a starting location of a user device associated with a user of the vehicle, and the ticket identifier based on the user scanning the ticket. The device may determine the parking spot location based on the ticket identifier, and may process the starting location and the parking spot location, with a path model, to calculate a navigation path from the starting location to the parking spot location. The device may provide the navigation path to the user device.

Abstract: A device may generate a shortest path tree based on a passenger starting point identified in driving data. The device may generate a graph with a first layer and a second layer that correspond to the shortest path tree and may add paths from nodes in the first layer to corresponding nodes in the second layer. The device may identify a first shortest path that starts from a driver starting node in the first layer and ends at a passenger end node in the second layer and a second shortest path that starts from the passenger end node and ends at a driver end node in the second layer. The device may calculate a shared cost associated with the driver and the passenger sharing a ride based on the first shortest path and the second shortest path. The device may generate a recommendation based on the shared cost.

Abstract: In some implementations, a device may receive vehicle data associated with a plurality of vehicles and schedule data associated with a plurality of jobs. The device may determine a set of scores for each job, of the plurality of jobs based on the vehicle data and the schedule data, wherein the set of scores for each job, of the plurality of jobs, indicates a set of likelihoods that each event is associated with each job. The device may determine a set of assignments of events to jobs based on the set of scores for each job. The device may determine a calculated job time period for each job based on the set of assignments. The device may modify, based on the calculated job time periods, the schedule data generate modified schedule data. The device may generate new schedule data for a new job based on the modified schedule data.

Abstract: A device may generate a shortest path tree based on a passenger starting point identified in driving data. The device may generate a graph with a first layer and a second layer that correspond to the shortest path tree and may add paths from nodes in the first layer to corresponding nodes in the second layer. The device may identify a first shortest path that starts from a driver starting node in the first layer and ends at a passenger end node in the second layer and a second shortest path that starts from the passenger end node and ends at a driver end node in the second layer. The device may calculate a shared cost associated with the driver and the passenger sharing a ride based on the first shortest path and the second shortest path. The device may generate a recommendation based on the shared cost.