Dynamic Delivery Of Crowdsourced Travel Planning Information

Patent metadata

Field	Value
Publication number	US-2021133847-A1
Application number	US-201916670997-A
Country	US
Kind code	A1
Filing date	Oct 31, 2019
Priority date	Oct 31, 2019
Publication date	May 6, 2021
Grant date	—

Abstract

Technologies are provided for dynamic delivery of travel planning information based at least on a travel condition. The travel planning information can be crowdsourced from multiple supplier accounts and can be retained in a distributed storage platform. Some embodiments of the technologies include a computing system that can receive data identifying travel conditions of a subject from a mobile user equipment (UE). The travel conditions can include a health condition and/or biometric data. The mobile UE can be a portable computing device or a vehicle. The computing system can determine that a rule to provide travel planning information is satisfied, and then can acquire specific travel planning information using at least one of the travel conditions. The computing system can provide the first travel planning information to the mobile UE.

First claim

What we claim is:

1 . A method, comprising:
updating travel planning information using at least data from multiple supplier accounts, the data identifying features of travel itineraries and the updated travel planning information being retained in a distributed storage platform including multiple data storage devices; receiving, from a mobile user equipment (UE), data identifying travel conditions of a subject, the travel conditions including one or more of a health condition or biometric data; determining that a rule to provide particular travel planning information to the mobile UE is satisfied; acquiring specific travel planning information using, at least in part, a subset of the travel conditions and the updated travel planning information; and providing the specific travel planning information to the mobile UE.

2 . The method of claim 1 , wherein the acquiring comprises selecting the specific travel planning information from the updated travel planning information using a first condition of the travel condition.

3 . The method of claim 1 , wherein the subset of the travel information conditions includes the health condition, and wherein the acquiring comprises generating a recommendation for a specific seat in a transportation means.

4 . The method of claim 1 , wherein the subset of the travel information conditions includes the health condition, and wherein the acquiring comprises generating a reservation for a specific seat within a transportation means.

5 . The method of claim 1 , wherein the providing comprises causing the mobile UE to present the specific travel planning information.

6 . The method of claim 1 , wherein the updating comprises,
receiving the data identifying the features of the travel itineraries from the multiple supplier accounts, wherein a first supplier account of the multiple supplier accounts pertains to a subject traveling to a defined destination in a defined region; updating records defining the travel planning information using the data identifying the features of the travel itineraries; retaining the updated travel planning information in the distributed data storage platform, wherein a first data storage device of the multiple data storage devices is located in a first location, and wherein a second data storage device of the multiple data storage devices is located in a second location.

7 . The method of claim 6 , wherein the receiving the data identifying the features of the travel itineraries comprises receiving data identifying a characteristic of a travel destination from the first supplier account of the multiple supplier accounts, the method further comprising,
determining a relevancy score for the data identifying the characteristic of the travel destination; and assigning reward data to the first supplier account using at least the relevancy score.

8 . The method of claim 1 , further comprising,
receiving, from the mobile UE, user activity data identifying multiple actions of the subject; and classifying the subject as a defined type of traveler based at least on the user activity data, the classifying including determining the defined type of traveler from multiple types of travelers by applying a machine-learning technique to the user activity data.

9 . The method of claim 8 , further comprising,
determining that a second rule to provide particular travel planning information to the mobile UE is satisfied; acquiring second specific travel planning information using at least the defined type of traveler and the updated travel planning information; and providing the second specific travel planning information to the mobile UE.

10 . A computing system, comprising:
a processor; and a memory device functionally coupled to the processor, the memory device having instructions encoded thereon that, in response to execution by the processor, cause the computing system to:
update travel planning information using at least data from multiple supplier accounts, the data identifying features of travel itineraries and the updated travel planning information being retained in a distributed storage platform including multiple data storage devices;
receive, from a mobile user equipment (UE), data identifying travel conditions of a subject, the travel conditions including one or more of a health condition or biometric data;
determine that a rule to provide travel planning information to the mobile UE is satisfied;
acquire specific travel planning information using, at least in part, a subset of the travel conditions and the updated travel planning information; and
provide the specific travel planning information to the mobile UE.

11 . The computing system of claim 10 , wherein providing the defined travel planning information to the mobile UE comprises causing the mobile UE to present the specific travel planning information.

12 . The computing system of claim 10 , wherein updating the travel planning information comprises:
receiving the data identifying the features of the travel itineraries from the multiple supplier accounts, wherein a first supplier account of the multiple supplier accounts pertains to a subject traveling to a defined destination in a defined region; updating records defining the travel planning information using the data identifying the features of the travel itineraries; retaining the updated travel planning information in the distributed data storage platform, wherein a first data storage device of the multiple data storage devices is located in a first location, and wherein a second data storage device of the multiple data storage devices is located in a second location.

13 . The computing system of claim 12 , wherein receiving the data identifying the features of the travel itineraries comprises receiving data identifying a characteristic of a travel destination from the first supplier account, and wherein the memory device has further instructions encoded thereon that, in response to execution by the processor, cause the computing system to:
determine a relevancy score for the data identifying the characteristic of the travel destination; and assign reward data to the first supplier account using at least the relevancy score.

14 . The computing system of claim 10 , wherein the memory has further instructions encoded thereon that, in response to execution by the processor, cause the computing system to:
receive, from the mobile UE, user activity data identifying multiple actions of the subject; and classify the subject as a defined type of traveler based at least on the user activity data, wherein classifying the subject comprises determining the defined type of traveler from multiple types of travelers by applying a machine-learning technique to the user activity data.

15 . The computing system of claim 14 , wherein the memory has further instructions encoded thereon that, in response to execution by the processor, cause the computing system to:
determine that a second rule provide particular travel planning information to the mobile UE is satisfied; acquire second specific travel planning information using at least the defined type of traveler and the updated travel planning information; and provide the second specific travel planning information to the mobile UE.

16 . A method, comprising:
configuring a computing device to receive travel planning information from a travel planning service provided by a computing system remotely located relative to the computing device; determining a travel condition of a subject associated with the computing device, the travel

Assignees

• Ford Global Tech Llc

Inventors

• Mezaael Abraham

Classifications

• G06N20/00

  Machine learning · CPC title

• G06Q50/14

  Travel agencies · CPC title

• G06Q10/06315 Primary

  Needs-based resource requirements planning or analysis · CPC title

• G06F16/9536

  Search customisation based on social or collaborative filtering · CPC title

• G06Q10/0836 Primary

  Recipient pick-ups · CPC title