Travel mobility as a service (maas)

Patent metadata

Field	Value
Publication number	US-2018211337-A1
Application number	US-201715413591-A
Country	US
Kind code	A1
Filing date	Jan 24, 2017
Priority date	Jan 24, 2017
Publication date	Jul 26, 2018
Grant date	—

Abstract

Embodiments for improving travel mobility as a service (MaaS) by one or more processors. A selected mode of transportation may be matched with a selected route to generate a travel package according to a multi-objective model based on a route profile for a plurality of routes, a user profile of the one or more users, an environmental profile, and a collaboration of monitored data relating to preferences of a mode of transportation and routes of the one or more users, wherein the travel package includes at least the matching selected mode of transportation, the selected route, and one or more travel suggestions.

First claim

1 . A method, by a processor, for improving travel mobility as a service (MaaS), comprising:
matching one or more users with a selected mode of transportation and a selected route to generate a travel package according to a multi-objective model based on a route profile for a plurality of routes, a user profile of the one or more users, an environmental profile, and a collaboration of monitored data relating to preferences of a mode of transportation and routes of the one or more users, wherein the travel package includes at least the matching selected mode of transportation, the selected route, and one or more travel suggestions.

2 . The method of claim 1 , wherein the matching further includes:
generating a plurality of route options from the plurality of routes to perform the matching according to integrated data based on the route profile, the user profile, and the environmental profile; or matching one of a plurality of modes of transportation with one of the generated route options according to the integrated data upon generating the plurality of routes.

3 . The method of claim 1 , further including selecting the selected mode of transportation and the selected route from one of a plurality of route options by the user, wherein the route profile includes a maximum or minimum speed, a type of travel route, a length of a travel route, an elevation, mapping information, and one or more points of interest, wherein the user profile includes driving habits, calendar information, preferences and interests of the user, key performance indicators, a physical or emotional condition of the user, travel experience of the user, preferred transportation means, common travel destinations, wherein the environmental profile includes at least weather, traffic conditions, construction, legal restrictions or requirements, and transportation services, and wherein a selected mode of transportation is a vehicle, a train, or plane.

3 . The method of claim 1 , further including monitoring each interaction by the one or more users relating to the selected mode of transportation and the selected route using machine learning to increase the accuracy of the matching, wherein a virtual computing system filters and stores the data relating to the machine learning to increase the accuracy of the matching.

5 . The method of claim 1 , further including ranking each one of a plurality of route options available for the matching according to a route score, wherein the route score is based upon the collaboration of data and one or more user profiles for the one or more users.

6 . The method of claim 1 , further including providing in the travel package one or more travel related commercial offers and services, travel pricing alternatives, estimated travel costs, and parking options.

7 . The method of claim 1 , further including providing the selected mode of transportation with the selected route for the one or more users to share with one or more drivers similar to the one or more users.

8 . A system for improving travel mobility as a service (MaaS), comprising:
one or more processors that:
match one or more users with a selected mode of transportation and a selected route to generate a travel package according to a multi-objective model based on a route profile for a plurality of routes, a user profile of the one or more users, an environmental profile, and a collaboration of monitored data relating to preferences of a mode of transportation and routes of the one or more users, wherein the travel package includes at least the matching selected mode of transportation, the selected route, and one or more travel suggestions.

9 . The system of claim 8 , wherein the one or more processors:
generate a plurality of route options from the plurality of routes to perform the matching according to integrated data based on the route profile, the user profile, and the environmental profile; or match one of a plurality of modes of transportation with one of the generated route options according to the integrated data upon generating the plurality of routes.

10 . The system of claim 8 , wherein the one or more processors select the selected mode of transportation and the selected route from one of a plurality of route options by the user, wherein the route profile includes a maximum or minimum speed, a type of travel route, a length of a travel route, an elevation, mapping information, and one or more points of interest, wherein the user profile includes driving habits, calendar information, preferences and interests of the user, key performance indicators, a physical or emotional condition of the user, travel experience of the user, preferred transportation means, common travel destinations, wherein the environmental profile includes at least weather, traffic conditions, construction, legal restrictions or requirements, and transportation services, and wherein a selected mode of transportation is a vehicle, a train, or plane.

11 . The system of claim 8 , wherein the one or more processors monitor each interaction by the one or more users relating to the selected mode of transportation and the selected route using machine learning to increase the accuracy of the matching, wherein a virtual computing system filters and stores the data relating to the machine learning to increase the accuracy of the matching.

12 . The system of claim 8 , wherein the one or more processors rank each one of a plurality of route options available for the matching according to a route score, wherein the route score is based upon the collaboration of data and one or more user profiles for the one or more users.

13 . The system of claim 8 , wherein the one or more processors provide in the travel package one or more travel related commercial offers and services, travel pricing alternatives, estimated travel costs, and parking options.

14 . The system of claim 8 , wherein the one or more processors provide the selected mode of transportation with the selected route for the one or more users to share with one or more drivers similar to the one or more users.

15 . A computer program product for improving travel mobility as a service (MaaS) by a processor, the computer program product comprising a non-transitory computer-readable storage medium having computer-readable program code portions stored therein, the computer-readable program code portions comprising:
an executable portion matches one or more users with a selected mode of transportation and a selected route to generate a travel package according to a multi-objective model based on a route profile for a plurality of routes, a user profile of the one or more users, an environmental profile, and a collaboration of monitored data relating to preferences of a mode of transportation and routes of the one or more users, wherein the travel package includes at least the matching selected mode of transportation, the selected route, and one or more travel suggestions.

16 . The computer program product of claim 15 , further including an executable portion that:
generates a plurality of route options from the plurality of routes to perform the matching according to integrated data based on the route profile, the user profile, and the environmental profile; or matches one of a plurality of modes of transportation with one of the generated route options according to the integrated data upon generating the plurality of routes.

17 . The computer program product of claim 15 , further including an executable portion that selects the selected mode of transportation and the selected route from o

Assignees

• IBM

Inventors

• Ghaddar Bissan
• Russo Giovanni
• Shorten Robert
• Verago Rudi

Classifications

• G01C21/3423

  Multimodal routing · CPC title

• G01C21/3484

  Personalized, e.g. from learned user behaviour or user-defined profiles · CPC title

• G01C21/3476

  using point of interest [POI] information, e.g. a route passing visible POIs · CPC title

• G01C21/3492

  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) · CPC title

• G06Q50/14 Primary

  Travel agencies · CPC title