OPTIMIZING TRAFFIC PREDICTIONS AND ENHANCING NOTIFICATIONS
First Claim
1. One or more non-transitory computer-readable media having computer-executable instructions embodied thereon that, when executed, facilitate a method of forecasting traffic, the method comprising:
- receiving a plurality of user-entered data sets that each describe an origin and a destination of a route, thereby providing a collection of route-information data;
utilizing the collection of route-information data to forecast a traffic pattern; and
communicating an indication of the traffic pattern to a display device.
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Abstract
Travel-demand forecasting methods are described for predicting traffic volume based, at least in part, on user-entered data in the form of anticipated traffic routes, demographic data and/or other types of socioeconomic data. This data can source a prediction algorithm or be used to forecast traffic patterns. Methods and systems are described for, among other things, optimizing traffic predictions, forecasting traffic patterns using user-assigned trip patterns, associating rich attribute information to navigation routes, exposing personal-logistic information to a group, communicating traffic-situation-generated alerts based on user information, optimizing a presentation of user-defined traffic routes, and presenting location indications based on proximity (temporal or geographical).
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Citations
20 Claims
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1. One or more non-transitory computer-readable media having computer-executable instructions embodied thereon that, when executed, facilitate a method of forecasting traffic, the method comprising:
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receiving a plurality of user-entered data sets that each describe an origin and a destination of a route, thereby providing a collection of route-information data; utilizing the collection of route-information data to forecast a traffic pattern; and communicating an indication of the traffic pattern to a display device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. One or more non-transitory computer-readable media having computer-executable instructions embodied thereon that, when executed, facilitate a method of forecasting traffic, the method comprising:
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receiving a collection of user-entered data sets, each user-entered data set describing an origin, a destination, and an anticipated time of travel for a route, thereby providing a collection of route information; utilizing the collection of route information to forecast a traffic pattern; and communicating an indication of the traffic pattern. - View Dependent Claims (16, 17, 18, 19)
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20. One or more nontransitory computer-readable media having computer-executable instructions embodied thereon for performing a method of forecasting a traffic pattern, the method comprising:
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exposing, to a plurality of users, a user interface that includes a set of fields that are useable to receive user-entered data that describes an origin and a destination for which a route can be provided; receiving a plurality of origin-destination pairs from the user interface; and utilizing the plurality of origin-destination pairs to forecast a traffic pattern.
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Specification