Journey planning

• US 10,408,631 B2
• Filed: 07/24/2015
• Issued: 09/10/2019
• Est. Priority Date: 07/24/2015
• Status: Active Grant

• Current Assignee: Kyndryl Incorporated
• Original Assignee: International Business Machines Corporation
• Inventors: Delaney, John V., Hunt, Anthony M., Spaas, Philippe H. V. M., Zolotow, Clea A.
• Primary Examiner(s): Chen, Shelley
• Application Number:
  US14/807,983
• Publication Number:
  US 20170023370A1
• Time in Patent Office: 1,509 Days
• Field of Search: None
• CPC Class Codes: G01C 21/3484 Personalized, e.g. from learned user behaviour or user-defined profiles
• CPC Class Codes: G01C 21/3492 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

Abstract

A computer-implemented method includes accessing a user database, accessing a transport database, and generating a global recommended travel plan. The user database includes travel preferences and a metric preference for each user. The travel preferences include an origin, and a destination. The transport database includes transport data. The global recommended travel plan includes, for each user, a recommended route from the user'"'"'s origin to the user'"'"'s destination, a recommended mode, and a recommended start time. Generating the global recommended travel plan includes simultaneously optimizing each user'"'"'s metric preference based on the transport data and the travel preferences. The computer-implemented method further includes returning each user'"'"'s recommended route, recommended mode, and recommended start time. A corresponding computer program product and computer system are also disclosed.

Claims

1. A computer-implemented method (CIM) comprising:

receiving a plurality of metric preferences for a first user, including at least a first metric preference, where the first metric preference is productive time of a given journey, and productive time is time where the first user can accomplish other tasks while in transit;

receiving a plurality of metric preferences for a second user, including at least a second metric preference, where the second metric preference is safety during transit;

accessing a user database, where the user database comprises travel preferences for a plurality of users, including at least the first user and the second user, where the travel preferences comprise an origin and a destination;

accessing a transport database, where the transport database comprises transport data;

optimizing the plurality of metric preferences of the first user based, at least in part, on;

(i) the transport data, (ii) the travel preferences of each other user of the plurality of users, and (iii) the plurality of metric preferences of the second user;

generating a first user recommended travel plan based, at least in part, on the travel preferences respectively correlated to the first user and the optimized plurality of metric preferences of the first user, where the first user recommended travel plan includes, a recommended route, a recommended mode, and a recommended start time; and

returning the first user recommended travel plan to the first user.

2. The computer-implemented method of claim 1, wherein:

the travel preferences for the plurality of users further includes a preferred mode of transport for each user, including at least the first user and the second user; and

the preferred mode of transport of the second user is a bicycle.

3. The computer-implemented method of claim 2, further comprising:

optimizing the plurality of metric preferences of the second user based, at least in part, on;

(i) the transport data, (ii) the travel preferences of each other user of the plurality of users, and (iii) the plurality of metric preferences of the first user; and

generating a second user recommended travel plan based, at least in part, on the travel preferences respectively correlated to the second user and the optimized plurality of metrics of the second user, where the metric preference of safety during transit adjusts the recommended travel plan to avoid intersections with above average bicycle accident rates.

4. The computer-implemented method of claim 1, wherein at least some users of the plurality of users are members of an organization, and wherein the transport data comprises data internal to the organization that is aggregated from any source selected from the group consisting of:

(i) internal publication data, (ii) internal social media message data, and (iii) internal person-to-person message data.

5. The computer-implemented method of claim 1, wherein each given user of the plurality of users is presented each of the following three options to select at least one of the three options as a metric preference:

(i) environmental impact, (ii) productive time, and (iii) safety.

6. The computer-implemented method of claim 1, wherein the transport data comprises data aggregated from:

(i) distributively reported traffic data, (ii) centrally reported traffic data, (iii) distributively reported weather data, (iv) centrally reported weather data, (v) modal policy data, (vi) modal news data, (vii) modal statistical data, (viii) general news data, and (ix) public social media message data.

7. A computer system (CS), the CS comprising:

one or more computer processors;

one or more computer readable storage media;

computer program instructions stored on the one or more computer readable storage media, with the computer program instructions including instructions for causing the one or more computer processors to perform operations including the following;

receiving a plurality of metric preferences for a first user, including at least a first metric preference, where the first metric preference is productive time of a given journey, and productive time is time where the first user can accomplish other tasks while in transit,

receiving a plurality of metric preferences for a second user, including at least a second metric preference, where the second metric preference is safety during transit,

accessing a user database, where the user database comprises travel preferences for a plurality of users, including at least the first user and the second user, where the travel preferences comprise an origin and a destination,

accessing a transport database, where the transport database includes transport data,

optimizing the plurality of metric preferences of the first user based, at least in part, on;

(i) the transport data, (ii) the travel preferences of each other user of the plurality of users, and (iii) the plurality of metric preferences of the second user,

generating a first user recommended travel plan based, at least in part, on the travel preferences respectively correlated to the first user and the optimized plurality of metric preferences of the first user, where the first user recommended travel plan includes, a recommended route, a recommended mode, and a recommended start time, and

returning the first user recommended travel plan.

8. The CS of claim 7, wherein:

the travel preferences for the plurality of users further includes a preferred mode of transport for each user, including at least the first user and the second user; and

the preferred mode of transport of the second user is a bicycle.

9. The CS of claim 8, wherein the computer code further includes instructions for causing one or more computer processors to perform the following operations:

optimizing the plurality of metric preferences of the second user based, at least in part, on;

(i) the transport data, (ii) the travel preferences of each other user of the plurality of users, and (iii) the plurality of metric preferences of the first user; and

generating a second user recommended travel plan based, at least in part, on the travel preferences respectively correlated to the second user and the optimized plurality of metrics of the second user, where the metric preference of safety during transit adjusts the recommended travel plan to avoid intersections with above average bicycle accident rates.

10. The CS of claim 7, wherein at least some users of the plurality of users are members of an organization, and wherein the transport data comprises data internal to the organization that is aggregated from any source selected from the group consisting of:

(i) internal publication data, (ii) internal social media message data, and (iii) internal person-to-person message data.

11. The CS of claim 7, wherein each given user of the plurality of users is presented each of the following three options to select at least one of the three options as a metric preference:

(i) environmental impact, (ii) productive time, and (iii) safety.

12. The CS of claim 7, wherein the transport data comprises data aggregated from:

(i) distributively reported traffic data, (ii) centrally reported traffic data, (iii) distributively reported weather data, (iv) centrally reported weather data, (v) modal policy data, (vi) modal news data, (vii) modal statistical data, (viii) general news data, and (ix) public social media message data.

13. A computer program product (CPP), the CPP comprising:

one or more computer readable storage media;

computer program instructions stored on the one or more computer readable storage media, with the computer program instructions including instructions for causing one or more computer processors to perform operations including the following;

receiving a plurality of metric preferences for a first user, including at least a first metric preference, where the first metric preference is productive time of a given journey, and productive time is time where the first user can accomplish other tasks while in transit,

receiving a plurality of metric preferences for a second user, including at least a second metric preference, where the second metric preference is safety during transit,

accessing a user database, where the user database comprises travel preferences for a plurality of users, including at least the first user and the second user, where the travel preferences comprise an origin and a destination,

accessing a transport database, where the transport database includes transport data,

optimizing the plurality of metric preferences of the first user based, at least in part, on;

(i) the transport data, (ii) the travel preferences of each other user of the plurality of users, and (iii) the plurality of metric preferences of the second user,

generating a first user recommended travel plan based, at least in part, on the travel preferences respectively correlated to the first user and the optimized plurality of metric preferences of the first user, where the first user recommended travel plan includes, a recommended route, a recommended mode, and a recommended start time, and

returning the first user recommended travel plan.

14. The CPP of claim 13, wherein:

the travel preferences for the plurality of users further includes a preferred mode of transport for each user, including at least the first user and the second user; and

the preferred mode of transport of the second user is a bicycle.

15. The CPP of claim 14, wherein the computer code further includes instructions for causing one or more computer processors to perform the following operations:

optimizing the plurality of metric preferences of the second user based, at least in part, on;

(i) the transport data, (ii) the travel preferences of each other user of the plurality of users, and (iii) the plurality of metric preferences of the first user; and

generating a second user recommended travel plan based, at least in part, on the travel preferences respectively correlated to the second user and the optimized plurality of metrics of the second user, where the metric preference of safety during transit adjusts the recommended travel plan to avoid intersections with above average bicycle accident rates.

16. The CPP of claim 13, wherein at least some users of the plurality of users are members of an organization, and wherein the transport data further includes data internal to the organization that is aggregated from any source selected from the group consisting of:

(i) internal publication data, (ii) internal social media message data, and (iii) internal person-to-person message data.

17. The CPP of claim 13, wherein each given user of the plurality of users is presented each of the following three options to select at least one of the three options as a metric preference:

(i) environmental impact, (ii) productive time, and (iii) safety.

18. The CPP of claim 13, wherein the transport data includes data aggregated from:

(i) distributively reported traffic data, (ii) centrally reported traffic data, (iii) distributively reported weather data, (iv) centrally reported weather data, (v) modal policy data, (vi) modal news data, (vii) modal statistical data, (viii) general news data, and (ix) public social media message data.