INFERRING ROAD SPEEDS FOR CONTEXT-SENSITIVE ROUTING
First Claim
1. A system that facilitates predicting road speeds or probability distributions over speeds for road segments not associated with sensed data for all desired contexts, comprising:
- a receiver component that receives a traffic system representation, the traffic system representation includes sensed velocities for a plurality of road segments over different contexts; and
a predictive component that analyzes the traffic system representation and automatically assigns at least one of an average velocity and a probability distribution over velocities to a road segment within the traffic system representation.
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Accused Products
Abstract
Sensing, learning, inference, and route analysis methods are described that center on the development and use of models that predict road speeds. In use, the system includes a receiver component that receives a traffic system representation, the traffic system representation includes velocities for a plurality of road segments over different contexts. A predictive component analyzes the traffic system representation and automatically assigns velocities to road segments within the traffic system representation, thereby providing more realistic velocities for different contexts where only statistics and/or posted speed limits were available before. The predictive component makes predictions about velocities for road segments at a current time or at specified times in the future by considering available velocity information as well as such information as the properties of roads, geometric relationships among roads of different types, proximal terrain and businesses, and other resources near road segments, and/or contextual information.
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Citations
20 Claims
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1. A system that facilitates predicting road speeds or probability distributions over speeds for road segments not associated with sensed data for all desired contexts, comprising:
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a receiver component that receives a traffic system representation, the traffic system representation includes sensed velocities for a plurality of road segments over different contexts; and a predictive component that analyzes the traffic system representation and automatically assigns at least one of an average velocity and a probability distribution over velocities to a road segment within the traffic system representation. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 17, 18, 19)
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12. A methodology for predicting statistics relating to velocities on road segments within a traffic system representation comprises the following computer-executable acts:
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analyzing sensed data associated with a traffic system, the sensed data includes travel velocity statistics over the road segments given different contexts; and automatically predicting travel velocity statistics with respect to road segments that are not associated with a travel velocity statistic based at least in part upon the analysis. - View Dependent Claims (13, 14, 15, 16)
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20. A system for creating a robust traffic system representation, comprising:
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computer-implemented means for receiving sensed travel velocity statistics with respect to road segments in a travel system; computer-implemented means for analyzing the sensed travel velocity statistics; and computer-implemented means for predicting travel velocity statistics over a plurality of contexts with respect to road segments based at least in part upon the analysis.
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Specification