Methods and systems for predicting traffic information for at least one map tile area

US12417697B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12417697-B2
Application numberUS-202218082350-A
CountryUS
Kind codeB2
Filing dateDec 15, 2022
Priority dateDec 15, 2022
Publication dateSep 16, 2025
Grant dateSep 16, 2025

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  5. First independent claim

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Abstract

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The disclosure provides a method, a system, and a computer program product for predicting traffic information for at least one map tile area. The method comprises obtaining probe data and map attribute data for each of a plurality of road segments in the at least one map tile area. The method may include generating current traffic condition data for each of the plurality of road segments in the at least one map tile area based on the obtained probe data and the obtained map attribute data. The method may further include obtaining historical traffic pattern data associated with each of the plurality of road segments in the at least one map tile area. The method may further include generating a tile based traffic index (TTI) for the at least one map tile area based on aggregating the current traffic condition data and the historical traffic pattern data of the plurality of road segments in the at least one map tile area and providing TTI and predicting the traffic information for the at least one map tile area based on the generated tile based traffic index (TTI).

First claim

Opening claim text (preview).

The invention claimed is: 1. A method for predicting traffic information for at least one map tile area, the method comprising: obtaining probe data from plurality of vehicles over a communication network and map attribute data from a map database over the communication network for each of a plurality of road segments in the at least one map tile area; generating, using a traffic engine, current traffic condition data for each of the plurality of road segments in the at least one map tile area based on the obtained probe data and the obtained map attribute data; obtaining historical traffic pattern data associated with each of the plurality of road segments in the at least one map tile area; generating, using the traffic engine, a tile based traffic index (TTI) for the at least one map tile area based on aggregating the current traffic condition data and the historical traffic pattern data of the plurality of road segments in the at least one map tile area; predicting the traffic information for the at least one map tile area based on the generated TTI; determining a traffic information delivery radius based on the generated TTI; and providing the generated TTI, the traffic information, or a combination thereof to one or more devices over the communication network based on the traffic information delivery radius. 2. The method of claim 1 , further comprising generating confidence value for the generated TTI for the at least one map tile area based on a segment confidence value obtained from a map database and a real time traffic speed confidence value obtained from the probe data. 3. The method of claim 1 , further comprising: determining the location of a vehicle by map matching the vehicle location on the map; wherein the traffic information delivery radius data is further based on the location of the vehicle. 4. The method of claim 3 , wherein the generated traffic information delivery radius is associated with traffic information within a radius of location of the vehicle. 5. The method of claim 1 , wherein generating the tile based traffic index (TTI) for the at least one map tile area comprises generating a numerical value for each of one or more predefined categories, the one or more predefined categories comprising: a way less traffic category, a less traffic category, a similar traffic category, a more traffic category, and a way more traffic than usual category. 6. The method of claim 1 , wherein generating the tile based traffic index (TTI) comprises: comparing current traffic condition data with historical traffic pattern data for each of the plurality of road segments; and generating the tile based traffic index (TTI) based on the comparison of current traffic condition data with historical traffic pattern data for each of the plurality of road segments. 7. The method of claim 1 , further comprising updating the historical traffic pattern data based on the current traffic condition data for each of the plurality of road segments in the at least one map tile area. 8. The method of claim 1 , further comprises updating a map database with the information associated with the TTI. 9. The method of claim 1 , further comprising predicting the traffic information associated with weather data change, traffic and incident change for the at least one map tile area based on generated TTI. 10. A system for predicting traffic information for the at least one map tile area, the system comprising: a memory configured to store computer-executable instructions; and one or more processors configured to execute the instructions to: obtain probe data from plurality of vehicles over a communication network and map attribute data from a map database over the communication network for each of a plurality of road segments in the at least one map tile area; generate, using a traffic engine, current traffic condition data for each of the plurality of road segments in the at least one map tile area based on the obtained probe data and the obtained map attribute data for each of the plurality of road segments in the at least one map tile area; obtain historical traffic pattern data associated with each of the plurality of road segments in the at least one map tile area; obtain weather data associated with each of the plurality of road segments in the at least one map tile area; generate, using the traffic engine, a tile based traffic index (TTI) for the at least one map tile area based on aggregation of the current traffic condition data and the historical traffic pattern data of the plurality of road segments in the at least one map tile area; and predict the traffic information for the at least one map tile area based on the generated TTI and obtained weather data; determine a traffic information delivery radius based on the generated TTI; and provide the generated TTI, the traffic information, or a combination thereof to one or more devices over the communication network based on the traffic information delivery radius. 11. The system of claim 10 , wherein the one or more processors are further configured to generate a confidence value for the generated TTI for the at least one map tile area based on a segment confidence value obtained from the map database and a real time traffic speed confidence value obtained from the probe data. 12. The system of claim 10 , wherein the one or more processors are further configured to: determine the location of a vehicle by map matching the vehicle location on the map, wherein the traffic information delivery radius data is further based on the location of the vehicle. 13. The system of claim 12 , wherein the generated traffic information delivery radius is associated with traffic information within the radius of location of a vehicle. 14. The system of claim 10 , wherein to generate the tile based traffic index (TTI), the one or more processors are further configured to generating a numerical value for each of one or more predefined categories, the one or more predefined categories comprising: a way less traffic category, a less traffic category, a similar traffic category, a more traffic category, and a way more traffic than usual category. 15. The system of claim 10 , wherein to generate the TTI, the one or more processors are further configured to: compare current traffic condition data with historical traffic pattern data for each of the plurality of road segments; and generate the tile based traffic index (TTI) based on the comparison of current traffic condition data with historical traffic pattern data for each of the plurality of road segments. 16. The system of claim 10 , wherein the one or more processors are further configured to update the map database with the information associated with the TTI. 17. The system of claim 10 , further comprises predicting the traffic information associated with weather data change, traffic and incident change for the at least one map tile area based on generated TTI. 18. A computer programmable product comprising a non-transitory computer readable medium having stored thereon computer executable instruction which when executed by one or more processors, cause the one or more processors to carry out operations for predicting traffic information for the at least one map tile area, the operations comprising: obtaining probe data from plurality of vehicles over a communication network and map attribute data from a map database over the communication network for each of a plurality of road segments in the at least one map tile area; generating, using a traffic eng

Assignees

Inventors

Classifications

  • G08G1/0125Primary

    Traffic data processing · CPC title

  • employing speed data or traffic data, e.g. real-time or historical (traffic control systems for road vehicles involving transmission of navigation instructions to the vehicle G08G1/0968) · CPC title

  • from the vehicle, e.g. floating car data [FCD] · CPC title

  • for creating historical data or processing based on historical data · CPC title

  • G08G1/0141Primary

    for traffic information dissemination · CPC title

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What does patent US12417697B2 cover?
The disclosure provides a method, a system, and a computer program product for predicting traffic information for at least one map tile area. The method comprises obtaining probe data and map attribute data for each of a plurality of road segments in the at least one map tile area. The method may include generating current traffic condition data for each of the plurality of road segments in the…
Who is the assignee on this patent?
Here Global Bv
What technology area does this patent fall under?
Primary CPC classification G08G1/0125. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Sep 16 2025 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 6 related publications on this page (citations in our corpus or others sharing the same primary CPC).