Event determination for vehicles and occupants of mobility provider on MaaS platform

Patent metadata

Field	Value
Publication number	US-11753019-B2
Application number	US-202017106666-A
Country	US
Kind code	B2
Filing date	Nov 30, 2020
Priority date	Nov 30, 2020
Publication date	Sep 12, 2023
Grant date	Sep 12, 2023

Abstract

A mobility player system including memory and a processor is provided. The memory stores a trained AI model. The processor receives on-board diagnostic (OBD) data associated with a first vehicle registered with a first mobility provider. The processor receives occupant data, different from the OBD data, from plurality of sensors associated with the first vehicle. The processor determines a plurality of parameters based on the received OBD data and the received occupant data. The processor applies the trained AI model on the plurality of parameters. The processor determines one or more events related to the first vehicle, or related to an occupant of the first vehicle, based on the application of the trained AI model on the plurality of parameters. The processor transmits information about the determined one or more events to one or more nodes of a distributed ledger associated with a Mobility-as-a-Service (MaaS) network.

First claim

What is claimed is:

1. A mobility player system, comprising:
a memory configured to store a trained artificial intelligence (AI) model including at least one of:
at least one trained machine learning model or at least one trained neural network model; and

a processor configured to:
receive on-board diagnostic (OBD) data associated with a first vehicle, wherein the first vehicle is registered with a first mobility provider;
receive occupant data, different from the OBD data, from a plurality of sensors associated with the first vehicle;
determine a plurality of parameters based on the received OBD data and the received occupant data, wherein the determined plurality of parameters include information related to an overcapacity of occupants in the first vehicle;
apply the trained AI model on the determined plurality of parameters;
determine at least one event related to the first vehicle, or related to an occupant of the first vehicle, based on the application of the trained AI model on the determined plurality of parameters; and
transmit information about the determined at least one event to at least one node of a distributed ledger associated with a Mobility-as-a-Service (MaaS) network.

2. The mobility player system according to claim 1 , wherein the processor is further configured to:
generate notification information based on the determined at least one event; and
transmit the generated notification information to an electronic device associated with at least one of the first mobility provider, the first vehicle, or the occupant of the first vehicle.

3. The mobility player system according to claim 1 , wherein the processor is further configured to:
generate driver profile information based on the determined at least one event, wherein the driver profile information is associated with a driver, as the occupant, of the first vehicle; and
transmit the generated driver profile information to the at least one node of the distributed ledger associated with the MaaS network.

4. The mobility player system according to claim 1 , wherein the processor is further configured to:
generate passenger profile information based on the determined at least one event, wherein the passenger profile information is associated with a passenger, as the occupant, of the first vehicle; and
transmit the generated passenger profile information to the at least one node of the distributed ledger associated with the MaaS network.

5. The mobility player system according to claim 4 , wherein the processor is further configured to:
receive a trip request for a first trip from an electronic device associated with the passenger;
extract the passenger profile information associated with the passenger, from the at least one node of the distributed ledger associated with the MaaS network;
determine, based on the extracted passenger profile information, vehicle information which is associated with at least one vehicle registered with the first mobility provider and stored on the at least one node of the distributed ledger;
assign a vehicle for the first trip based on the extracted passenger profile information and the vehicle information associated with the at least one vehicle; and
transmit the vehicle information and driver profile information of a driver of the assigned vehicle, to the electronic device associated the passenger.

6. The mobility player system according to claim 1 , wherein the determined plurality of parameters include at least one of acceleration and deacceleration information of the first vehicle, a speed of the first vehicle, a closeness of the first vehicle with respect to surrounding objects, honking from the first vehicle, an intensity of brakes applied by a driver as the occupant of the first vehicle, an efficiency of the driver, a health status of the first vehicle, a usage of seat belt by the occupant of the first vehicle, an adherence to traffic rules by the occupant of the first vehicle, an amount of spent time on phone by the occupant, a volume of verbal communication of occupants in the first vehicle, an intensity of volume of music in the first vehicle, road conditions related to route of the first vehicle, weather conditions related to the route of the first vehicle, information about lane switching for the first vehicle, information about fast U-turn taken by the first vehicle 120 A, weaving information about the first vehicle, or swerving information about the first vehicle.

7. The mobility player system according to claim 1 , wherein the determined at least one event include at least one of an aggression in behavior of a driver as the occupant of the first vehicle, an adherence to safe driving practices by the driver of the first vehicle, an adherence to regulatory policies by the driver of the first vehicle, a comfort level provided to a passenger as the occupant of the first vehicle, a hazardous driving conditions, or a rash driving pattern of the driver as the occupant of the first vehicle.

8. The mobility player system according to claim 1 , wherein the processor is further configured to:
receive external data from a server, wherein the external data comprises at least one of information about road conditions, information about weather conditions, traffic update on a route of travel, or a route map of the route of travel of the first vehicle; and
determine the plurality of parameters based on the received external data, the OBD data, and the occupant data.

9. The mobility player system according to claim 1 , wherein the processor is configured to receive at least one of the OBD data and the occupant data, via a 5th generation (5G) communication network.

10. The mobility player system according to claim 9 , wherein the processor is further configured to transmit a service requirement comprising a Quality of Service (QOS) requirement and a set of mobility network management functions to a virtual network operator (VNO), wherein the virtual network operator:
receives the transmitted service requirement; and
transmits, based on the received service requirement, a network resource request to an infrastructure provider associated with the 5G communication network.

11. The mobility player system according to claim 10 , wherein the infrastructure provider creates a virtual network to allocate network resources of the 5G communication network based on the received network resource request.

12. The mobility player system according to claim 1 , wherein the processor is further configured to:
receive regulatory information from a regulatory authority server; and
transmit, based on the determined plurality of parameters, the received regulatory information to at least one of a first electronic device associated with a driver, as the occupant, of the first vehicle or a second electronic device associated with the first vehicle.

13. The mobility player system according to claim 1 , wherein the processor is further configured to generate a first score card associated with a driver as the occupant of the first vehicle, based on at least one of the determined plurality of parameters or based on the determined at least one event, and wherein the first score card indicates a behavioral pattern of the driver.

14. The mobility player system according to claim 13 , wherein the memory is further configured to store a plurality of first scores associated with the determined plurality of parameters or the determined at least one event, and wherein
the processor is further configured to generate the first score card based on a weighted aggregation of the plurality of first scores for the determined plurality of parameters or the

Assignees

• Sony Group Corp

Inventors

• Samarthyam Santhosh
• Sulibhavi Madhvesh

Classifications

• G06N3/0475

  Generative networks · CPC title

• G06N3/09

  Supervised learning · CPC title

• G06N3/0442

  characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU] · CPC title

• G06N3/0464

  Convolutional networks [CNN, ConvNet] · CPC title

• H04L67/12 Primary

  specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks · CPC title