Abstract: A method for traffic prediction of a road network includes receiving past traffic information corresponding to multiple locations on the road network. The method further includes determining, by a processor and based on the past traffic information, temporal characteristics of the past traffic information corresponding to changes of characteristics over time and spatial characteristics of the past traffic information corresponding to interactions between locations on the road network. The method further includes predicting predicted traffic information corresponding to a later time based on the determined temporal and spatial characteristics of the past traffic information. The method further includes receiving detected additional traffic information corresponding to the later time.

Abstract: Methods, systems, and apparatus for matching a driver associated with a driver timetable and a rider associated with a ride request including a detected rider location and a rider destination. The system includes a synchronizing server configured to transmit the ride request to a driver device. The driver device is configured to determine a driver value associated with incorporating the ride request into the driver timetable. The driver device is also configured to communicate, to the synchronizing server, the driver value. The synchronizing server is also configured to receive one or more other values from one or more other driver devices. The synchronizing server is also configured to determine a prime value from the one or more values, the prime value being the driver value. The synchronizing server is also configured to communicate, to the driver device, an indication to incorporate the ride request into the driver timetable.

Abstract: A method for traffic prediction of a road network includes receiving past traffic information corresponding to multiple locations on the road network. The method further includes determining, by a processor and based on the past traffic information, temporal characteristics of the past traffic information corresponding to changes of characteristics over time and spatial characteristics of in the past traffic information corresponding to interactions between locations on the road network. The method further includes predicting predicted traffic information corresponding to a later time based on the determined temporal and spatial characteristics of the past traffic information. The method further includes receiving detected additional traffic information corresponding to the later time.