LATENT SPACE MODEL FOR ROAD NETWORKS TO PREDICT TIME-VARYING TRAFFIC
First Claim
1. A method for traffic prediction of a road network comprising:
- receiving, from a plurality of sensors, past traffic information corresponding to multiple locations on the road network;
determining, by a processor and based on the past traffic information, temporal characteristics of the past traffic information corresponding to changes of characteristics of at least some of the multiple locations on the road network over time and spatial characteristics of the past traffic information corresponding to interactions between at least some of the multiple locations on the road network;
predicting, by the processor, predicted traffic information corresponding to a later time based on the determined temporal characteristics of the past traffic information and the determined spatial characteristics of the past traffic information;
receiving, from the plurality of sensors, detected additional traffic information corresponding to the later time for at least some of the multiple locations on the road network; and
updating, by the processor, the temporal characteristics of the traffic information and the spatial characteristics of the traffic information based on the predicted traffic information and the detected additional traffic information.
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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. The method further includes updating the temporal characteristics of the traffic information and the spatial characteristics of the traffic information based on the predicted traffic information and the detected additional traffic information.
34 Citations
20 Claims
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1. A method for traffic prediction of a road network comprising:
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receiving, from a plurality of sensors, past traffic information corresponding to multiple locations on the road network; determining, by a processor and based on the past traffic information, temporal characteristics of the past traffic information corresponding to changes of characteristics of at least some of the multiple locations on the road network over time and spatial characteristics of the past traffic information corresponding to interactions between at least some of the multiple locations on the road network; predicting, by the processor, predicted traffic information corresponding to a later time based on the determined temporal characteristics of the past traffic information and the determined spatial characteristics of the past traffic information; receiving, from the plurality of sensors, detected additional traffic information corresponding to the later time for at least some of the multiple locations on the road network; and updating, by the processor, the temporal characteristics of the traffic information and the spatial characteristics of the traffic information based on the predicted traffic information and the detected additional traffic information. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
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14. A system for predicting traffic of a road network, the system comprising:
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a plurality of sensors positioned at multiple locations on the road network and configured to detect past traffic information; a network access device configured to receive the past traffic information from the plurality of sensors; and a prediction processor coupled to the network access device and configured to; determine temporal characteristics of the past traffic information corresponding to changes of characteristics of at least some of the multiple locations on the road network over time and spatial characteristics of the past traffic information corresponding to interactions between at least some of the multiple locations on the road network, predict predicted traffic information corresponding to a later time based on the determined temporal characteristics of the past traffic information and the determined spatial characteristics of the past traffic information, receive detected additional traffic information corresponding to the later time for at least some of the multiple locations on the road network, and update the temporal characteristics of the traffic information and the spatial characteristics of the traffic information based on the predicted traffic information and the detected additional traffic information. - View Dependent Claims (15, 16, 17, 18, 19)
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20. A method for traffic prediction of a road network comprising:
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receiving, from a plurality of sensors, past traffic information corresponding to multiple locations on the road network; determining, by a processor and based on the past traffic information, temporal characteristics of the past traffic information corresponding to changes of characteristics of at least some of the multiple locations on the road network over time, and spatial characteristics of the past traffic information corresponding to interactions between at least some of the multiple locations on the road network; predicting, by the processor, predicted traffic information corresponding to traffic information at locations other than those associated with sensors at a later time based on the determined temporal characteristics of the past traffic information and the determined spatial characteristics of the past traffic information by performing matrix operations; receiving, from the plurality of sensors, detected additional traffic information corresponding to the later time for at least some of the multiple locations on the road network; and updating, by the processor, the temporal characteristics of the traffic information and the spatial characteristics of the traffic information based on the predicted traffic information and the detected additional traffic information.
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Specification