# US 2024/0201686 A1 · Cognitive system reward management

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- Number: US 2024/0201686 A1
- Document ID: US20240201686A1
- Status: Published application
- Kind: A1
- Application number: 18/592,187
- Filed: 2024-02-29
- Published: 2024-06-20
- Earliest claimed: 2018-09-30
- Assignees: Strong Force TP Portfolio 2022, LLC
- Applicants: Strong Force Tp Portfolio 2022, LLC
- Inventors: Charles Howard Cella
- Web page: https://patentgrep.com/patent/US20240201686A1

## CPC

- G06Q 30/0265: {Vehicular advertisement}
- A61B 5/165: {Evaluating the state of mind, e.g. depression, anxiety}
- A61B 5/168: {Evaluating attention deficit, hyperactivity}
- A61B 5/6893: {Cars}
- A61B 5/7264: {Classification of physiological signals or data, e.g. using neural networks, statistical classifiers, expert systems or fuzzy systems}
- B60W 40/08: related to drivers or passengers
- G01C 21/3438: {Rendezvous; Ride sharing}
- G01C 21/3461: {Preferred or disfavoured areas, e.g. dangerous zones, toll or emission zones, intersections, manoeuvre types or segments such as motorways, toll roads or ferries}
- G01C 21/3469: {Fuel consumption; Energy use; Emission aspects}
- G01C 21/3617: {using user history, behaviour, conditions or preferences, e.g. predicted or inferred from previous use or current movement}
- G05B 13/027: {using neural networks only}
- G05D 1/0022: {characterised by the communication link (data switching networks in general H04L12/00)}
- G05D 1/0088: {characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours (using knowledge based models G06N5/00)}
- G05D 1/0212: {with means for defining a desired trajectory (involving a plurality of land vehicles G05D1/0287)}
- G05D 1/0287: {involving a plurality of land vehicles, e.g. fleet or convoy travelling (traffic control systems for road vehicles G08G1/00, particularly anticollision systems G08G1/16)}
- G05D 1/20: Control system inputs
- G05D 1/224: Output arrangements on the remote controller, e.g. displays, haptics or speakers
- G05D 1/225: operated by off-board computers
- G05D 1/226: Communication links with the remote-control arrangements
- G05D 1/227: Handing over between remote control and on-board control; Handing over between remote control arrangements
- G05D 1/228: Command input arrangements located on-board unmanned vehicles
- G05D 1/229: Command input data, e.g. waypoints
- G05D 1/24: Arrangements for determining position or orientation
- G05D 1/43: Control of position or course in two dimensions [2D]
- G05D 1/646: Following a predefined trajectory, e.g. a line marked on the floor or a flight path
- G05D 1/69: Coordinated control of the position or course of two or more vehicles
- G05D 1/692: involving a plurality of disparate vehicles
- G05D 1/81: Handing over between on-board automatic and on-board manual control
- G06F 18/2414: {Smoothing the distance, e.g. radial basis function networks [RBFN]}
- G06F 40/40: Processing or translation of natural language (natural language analysis G06F40/20; semantic analysis G06F40/30)
- G06N 3/0418: {using chaos or fractal principles}
- G06N 3/044: Recurrent networks, e.g. Hopfield networks
- G06N 3/0442: characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU]
- G06N 3/045: Combinations of networks
- G06N 3/0464: Convolutional networks [CNN, ConvNet]
- G06N 3/08: Learning methods
- G06N 3/082: modifying the architecture, e.g. adding, deleting or silencing nodes or connections
- G06N 3/086: using evolutionary algorithms, e.g. genetic algorithms or genetic programming
- G06N 3/09: Supervised learning
- G06N 3/092: Reinforcement learning
- G06N 3/126: Evolutionary algorithms, e.g. genetic algorithms or genetic programming
- G06N 20/00: Machine learning
- G06Q 30/0208: Trade or exchange of goods or services in exchange for incentives or rewards
- G06Q 50/188: {Electronic negotiation}
- G06Q 50/40: Business processes related to the transportation industry (shipping G06Q10/083)
- G06V 10/764: using classification, e.g. of video objects
- G06V 10/82: using neural networks
- G06V 20/56: exterior to a vehicle by using sensors mounted on the vehicle
- G06V 20/59: inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
- G06V 20/597: {Recognising the driver's state or behaviour, e.g. attention or drowsiness}
- G06V 20/64: Three-dimensional [3D] objects
- G07C 5/006: {Indicating maintenance}
- G07C 5/008: {communicating information to a remotely located station (transmission systems for measured values G08C)}
- G07C 5/02: Registering or indicating driving, working, idle, or waiting time only (apparatus forming part of taximeters G07B13/00)
- G07C 5/08: Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C 5/0808: {Diagnosing performance data (testing of vehicles G01M17/00; testing of electrical installation on vehicles G01R31/005)}
- G07C 5/0816: {Indicating performance data, e.g. occurrence of a malfunction}
- G07C 5/0866: {the electronic data carrier being a digital video recorder in combination with video camera}
- G07C 5/0891: {Video recorder in combination with video camera}
- G10L 15/16: using artificial neural networks
- G10L 25/63: for estimating an emotional state
- A61B 5/0059: {using light, e.g. diagnosis by transillumination, diascopy, fluorescence (photoacoustic A61B5/0093; optical measurement of heart rate A61B5/02416; optical measurement of blood flow A61B5/0261; optical measurement of analytes A61B5/1455)}
- A61B 5/0533: Measuring galvanic skin response
- A61B 5/1176: {Recognition of faces}
- A61B 5/163: {by tracking eye movement, gaze, or pupil change}
- A61B 5/369: Electroencephalography [EEG]
- A61B 2503/22: Motor vehicles operators, e.g. drivers, pilots, captains
- A61B 2562/0219: Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
- A61B 2562/0223: Magnetic field sensors
- B60W 2040/0881: {Seat occupation; Driver or passenger presence}
- G01C 21/3484: {Personalized, e.g. from learned user behaviour or user-defined profiles}
- G05D 2101/10: using artificial intelligence [AI] techniques
- G06N 3/02: Neural networks
- G06N 3/048: Activation functions
- G06Q 10/40: Business processes related to social networking or social networking services
- G06Q 10/42: Determination of affinities or common interests between users
- G06Q 10/44: Identification of trends within social networks, e.g. identification of trending topics
- G06Q 30/0281: {Customer communication at a business location, e.g. providing product or service information, consulting}
- G08G 1/0968: Systems involving transmission of navigation instructions to the vehicle
- G08G 1/20: {Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles}
- Y02T 10/62: Hybrid vehicles
- Y02T 10/70: Energy storage systems for electromobility, e.g. batteries
- Y02T 10/7072: Electromobility specific charging systems or methods for batteries, ultracapacitors, supercapacitors or double-layer capacitors
- Y02T 90/12: Electric charging stations
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D)
- B60W: CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- G01C: MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY (measuring liquid level G01F; radio navigation, determining distance or velocity by use of propagation effects, e.g. Doppler effects, propagation time, of radio waves, analogous arrangements using other waves G01S)
- G05B: CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS (systems for controlling or regulating non-electric variables G05D; systems for regulating electric or magnetic variables G05F; control devices or systems insofar as characterised by mechanical features only G05G)
- G05D: SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G07C: TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G10L: SPEECH ANALYSIS TECHNIQUES OR SPEECH SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING TECHNIQUES; SPEECH OR AUDIO CODING OR DECODING
- G08G: TRAFFIC CONTROL SYSTEMS (guiding railway traffic, ensuring the safety of railway traffic B61L; arrangement of road signs or traffic signals E01F9/00; radar or analogous systems, sonar systems, lidar systems specially adapted for traffic control G01S13/91, G01S15/88, G01S17/88; {radar or analogous systems, sonar systems, lidar systems specially adapted for anti-collision purposes G01S13/93, G01S15/93, G01S17/93})
- Y02T: CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION

## Abstract

A transportation system and method for managing rewards in the transportation system includes using a merchant interface to a cognitive system for managing the offering or fulfillment of a reward to a rider of a vehicle, where a merchant may specify parameters of the reward that can be earned by the rider as a result of performing an action while in the vehicle.

## Claims

### Claim 1

A transportation system, comprising:
a cognitive system configured to manage at least one of an offering or a fulfillment of a reward to a rider of a vehicle;
a merchant interface configured to allow a merchant to specify parameters of the reward that can be earned by the rider as a result of performing an action while in the vehicle; and
a vehicle communication interface configured to convey the parameters of the reward for receipt by the rider.

### Claim 2 (depends on 1)

The transportation system of claim 1, wherein the cognitive system is further configured to process rider preferences to personalize the reward offerings presented to the rider.

### Claim 3 (depends on 1)

The transportation system of claim 1, wherein the merchant interface is further configured to receive feedback from the merchant regarding effectiveness of fulfilled rewards.

### Claim 4 (depends on 1)

The transportation system of claim 1, wherein the vehicle communication interface is further configured to provide the rider with options to accept, decline, or modify the reward parameters.

### Claim 5 (depends on 1)

The transportation system of claim 1, wherein the action performed by the rider is one of: making a purchase, participating in a survey, visiting a merchant location, or viewing an advertisement.

### Claim 6 (depends on 1)

The transportation system of claim 1, wherein the reward is one of: discounts, loyalty points, promotional items, or service upgrades.

### Claim 7 (depends on 1)

The transportation system of claim 1, wherein the cognitive system is further configured to:
track redemption of rewards by the rider as a redemption history; and
adjust future reward offerings based on the redemption history.

### Claim 8 (depends on 1)

The transportation system of claim 1, wherein the vehicle communication interface is integrated with an in-vehicle entertainment system to display the reward parameters to the rider.

### Claim 9 (depends on 1)

The transportation system of claim 1, wherein the cognitive system is further configured to synchronize reward offerings with an estimated time of arrival at a merchant location.

### Claim 10 (depends on 1)

The transportation system of claim 1, wherein the cognitive system utilizes machine learning algorithms to optimize a timing and a type of reward offerings based on historical data of rider behavior.

### Claim 11 (depends on 1)

The transportation system of claim 1, wherein the merchant interface provides real-time analytics to the merchant regarding uptake of reward offerings by riders.

### Claim 12 (depends on 1)

The transportation system of claim 1, wherein the vehicle communication interface is configured to communicate with a personal electronic device to deliver the reward parameters.

### Claim 13 (depends on 1)

The transportation system of claim 1, wherein the cognitive system is further configured to manage a plurality of rewards from multiple merchants concurrently.

### Claim 14 (depends on 1)

The transportation system of claim 1, wherein the reward parameters specified by the merchant include at least one of: a minimum purchase amount, a specific product eligibility, a specific service eligibility, or a time frame within which the reward can be earned.

### Claim 15 (depends on 1)

The transportation system of claim 1, wherein the cognitive system is further configured to aggregate rewards from different merchants to present a combined offer to the rider.

### Claim 16 (depends on 1)

The transportation system of claim 1, wherein the vehicle communication interface is further configured to notify the rider of the reward earned immediately after the action is performed.

### Claim 17 (depends on 1)

The transportation system of claim 1, wherein the cognitive system is further configured to adjust the reward parameters dynamically based on external factors including at least one of: traffic conditions, weather conditions, or merchant inventory levels.

### Claim 18 (depends on 1)

The transportation system of claim 1, wherein the merchant interface allows the merchant to set eligibility criteria for riders to earn the reward.

### Claim 19 (depends on 1)

The transportation system of claim 1, wherein the vehicle communication interface is further configured to facilitate redemption of the reward by the rider through the vehicle's systems.

### Claim 20 (depends on 1)

The transportation system of claim 1, wherein the cognitive system is integrated with a navigation system of the vehicle to suggest route modifications to the rider based on a location of merchants offering rewards.

### Claim 21

A method for managing rewards in a transportation system, the method comprising:
providing a merchant interface;
receiving, via the merchant interface, parameters of a reward specified by a merchant, wherein the reward can be earned by a rider of a vehicle as a result of performing an action while in the vehicle; and
managing, by a cognitive system, at least one of an offering or a fulfillment of the reward to the rider based on the specified parameters.

### Claim 22 (depends on 21)

The method of claim 21, further comprising customizing the reward offering based on a profile of the rider, wherein the profile includes at least one of preferences, past behavior, or demographic information of the rider.

### Claim 23 (depends on 21)

The method of claim 21, further comprising updating the parameters of the reward in real-time based on feedback received from the merchant through the merchant interface.

### Claim 24 (depends on 21)

The method of claim 21, further comprising:
presenting the rider with the reward parameters through an in-vehicle display system; and
receiving a response to the reward offering from the rider.

### Claim 25 (depends on 21)

The method of claim 21, wherein the action performed by the rider includes at least one of: making a purchase, participating in a survey, visiting a merchant location, or viewing an advertisement.

### Claim 26 (depends on 21)

The method of claim 21, wherein the reward includes at least one of: discounts, promotional items, or service upgrades.

### Claim 27 (depends on 21)

The method of claim 21, further comprising:
tracking redemption of rewards by the rider as a redemption history; and
modifying subsequent reward offerings based on the redemption history.

### Claim 28 (depends on 21)

The method of claim 21, further comprising integrating the reward offering with a navigation system of the vehicle to guide the rider to a merchant location associated with the reward.

### Claim 29 (depends on 21)

The method of claim 21, further comprising utilizing machine learning algorithms within the cognitive system to optimize the reward offerings based on historical data of rider behavior.

### Claim 30 (depends on 21)

The method of claim 21, further comprising:
providing the merchant with analytics related to effectiveness of the reward offerings through the merchant interface, wherein the parameters specified by the merchant include at least one of: a minimum purchase amount, a specific product eligibility, a specific service eligibility, or a time frame within which the reward can be earned;
communicating the reward parameters to a personal electronic device;
managing multiple rewards from various merchants concurrently within the cognitive system;
aggregating rewards from different merchants to create a combined offer for the rider;
notifying the rider of the earned reward immediately after the action is performed using a communication system of the vehicle;
dynamically adjusting the reward parameters based on external factors including at least one of: traffic conditions, weather conditions, or merchant inventory levels;
setting eligibility criteria for riders to earn the reward through the merchant interface;
facilitating redemption of the reward by the rider through vehicle systems of the vehicle; and
further comprising suggesting route modifications to the rider based on a location of merchants offering rewards, in coordination with a navigation system of the vehicle.