# US 12,216,465 B2 · Intelligent transportation systems

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- Number: US 12,216,465 B2
- Document ID: US12216465B2
- Status: Granted
- Kind: B2
- Application number: 16/803,154
- Filed: 2020-02-27
- Published: 2020-06-18
- Granted: 2025-02-04
- 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/US12216465B2

## 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

Transportation systems have artificial intelligence including neural networks for recognition and classification of objects and behavior including natural language processing and computer vision systems. The transportation systems involve sets of complex chemical processes, mechanical systems, and interactions with behaviors of operators. System-level interactions and behaviors are classified, predicted and optimized using neural networks and other artificial intelligence systems through selective deployment, as well as hybrids and combinations of the artificial intelligence systems, neural networks, expert systems, cognitive systems, genetic algorithms and deep learning.

## Claims

### Claim 1

A system for transportation, comprising:
a cognitive system for routing at least one vehicle within a designated set of vehicles based on a set of routing parameters determined by facilitating peer-to-peer routing coordination among the designated set of vehicles, wherein the peer-to-peer routing coordination includes taking at least one input from at least one game-based interface for a user of the at least one vehicle in the designated set of vehicles; wherein:
the at least one game-based interface includes a vehicle route preference-affecting game activity through which the user indicates a routing preference for the at least one vehicle within the designated set of vehicles, and wherein the at least one input from the at least one game-based interface is based on a response of the user to the vehicle route preference-affecting game activity; and
the at least one game-based interface is to induce the user to undertake a set of favorable routing choices that is configured to achieve at least one of: a reduced noise in a geographical region objective, an avoidance of undivided highways objective, or an avoidance of left turns objective; and
a vehicle routing system to route the at least one vehicle based on the set of routing parameters.

### Claim 2 (depends on 1)

The system for transportation of claim 1 wherein the vehicle routing system accounts for the routing preference indicated by the user when routing the at least one vehicle within the designated set of vehicles.

### Claim 3 (depends on 1)

The system for transportation of claim 1 wherein the at least one game-based interface is disposed for in-vehicle use.

### Claim 4 (depends on 1)

The system for transportation of claim 1 wherein the user is a rider of the at least one vehicle in the designated set of vehicles.

### Claim 5 (depends on 1)

The system for transportation of claim 1 wherein the user is an administrator for a set of roadways to be used by the at least one vehicle in the designated set of vehicles.

### Claim 6 (depends on 1)

The system for transportation of claim 1 wherein the set of routing parameters further includes collective satisfaction of a group of riders in the designated set of vehicles.

### Claim 7 (depends on 1)

The system for transportation of claim 1 wherein the vehicle route preference-affecting game activity included in the at least one game-based interface includes at least one of: contests, entertainment games, competitive games, or strategy games.

### Claim 8 (depends on 1)

The system for transportation of claim 1 wherein the vehicle route preference-affecting game activity included in the at least one game-based interface includes scavenger hunts.

### Claim 9 (depends on 1)

The system for transportation of claim 1 wherein the set of favorable routing choices is configured to achieve the reduced noise in the geographical region objective.

### Claim 10 (depends on 1)

The system for transportation of claim 1 wherein the set of favorable routing choices is configured to achieve the avoidance of undivided highways objective.

### Claim 11 (depends on 1)

The system for transportation of claim 1 wherein the set of favorable routing choices is configured to achieve the avoidance of left turns objective.

### Claim 12

A system for transportation, comprising:
a cognitive system for routing at least one vehicle within a designated set of vehicles based on a set of routing parameters determined by facilitating peer-to-peer routing coordination among the designated set of vehicles, wherein the peer-to-peer routing coordination includes taking at least one input from at least one game-based interface for a rider of the at least one vehicle in the designated set of vehicles, wherein:
the at least one game-based interface includes a vehicle route preference-affecting game activity through which the rider indicates a routing preference for the at least one vehicle within the designated set of vehicles, and wherein the at least one input from the at least one game-based interface is based on a response of the rider to the vehicle route preference-affecting game activity; and
wherein the at least one game-based interface is to induce the rider to undertake a set of favorable routing choices that is configured to achieve at least one of: a reduced noise in a geographic region objective, an avoidance of undivided highways objective, an avoidance of left turns objective, or an avoidance of driver-operated vehicles objective, and
a vehicle routing system to route the at least one vehicle based on the set of routing parameters.

### Claim 13 (depends on 12)

The system for transportation of claim 12 wherein the vehicle route preference-affecting game activity included in the at least one game-based interface includes at least one of: contests, entertainment games, competitive games, or strategy games.

### Claim 14 (depends on 12)

The system for transportation of claim 12 wherein the vehicle route preference-affecting game activity included in the at least one game-based interface includes scavenger hunts.

### Claim 15 (depends on 12)

The system for transportation of claim 12 wherein the set of favorable routing choices is configured to achieve the reduced noise in the geographic region objective.

### Claim 16 (depends on 12)

The system for transportation of claim 12 wherein the set of favorable routing choices is further configured to achieve a collective satisfaction objective.

### Claim 17 (depends on 12)

The system for transportation of claim 12 wherein the set of favorable routing choices is further configured to achieve an avoidance of undivided highways objective.

### Claim 18

A computer-implemented method, comprising:
obtaining a response of a user of at least one vehicle within a designated set of vehicles to a vehicle route preference-affecting game activity included in at least one game-based interface for the user of the at least one vehicle within the designated set of vehicles;
inducing, via the at least one game-based interface, the user to undertake a set of favorable routing choices that is configured to achieve at least one of: a reduced noise in a geographical region objective, an avoidance of undivided highways objective, an avoidance of left turns objective, or an avoidance of driver-operated vehicles objective;
determining, via a cognitive system, a set of routing parameters based on the response of the user to the vehicle route preference-affecting game activity through which the user indicates a routing preference for the at least one vehicle within the designated set of vehicles to facilitate peer-to-peer routing coordination among the designated set of vehicles, wherein the peer-to-peer routing coordination includes taking at least one input from the at least one game-based interface for the user of the at least one vehicle within the designated set of vehicles and wherein the at least one input from the at least one game-based interface is based on the response of the user to the vehicle route preference-affecting game activity; and
routing, via a routing system, the at least one vehicle within the designated set of vehicles based on the set of routing parameters.

### Claim 19 (depends on 18)

The computer-implemented method of claim 18 further comprising:
accounting, via the routing system of the at least one vehicle, for the response of the user to the vehicle route preference-affecting game activity when routing the at least one vehicle within the designated set of vehicles.

### Claim 20 (depends on 18)

The computer-implemented method of claim 18 wherein the at least one game-based interface is disposed for in-vehicle use.

### Claim 21 (depends on 18)

The computer-implemented method of claim 18 wherein the user is a rider of the at least one vehicle in the designated set of vehicles.

### Claim 22 (depends on 18)

The computer-implemented method of claim 18 wherein the user is an administrator for a set of roadways to be used by the at least one vehicle in the designated set of vehicles.

### Claim 23 (depends on 18)

The computer-implemented method of claim 18 wherein the set of favorable routing choices is further to achieve a collective satisfaction objective, and wherein the collective satisfaction includes the collective satisfaction of a group of riders in the designated set of vehicles.

### Claim 24 (depends on 18)

The computer-implemented method of claim 18 wherein the vehicle route preference-affecting game activity included in the at least one game-based interface includes at least one of: contests, entertainment games, competitive games, or strategy games.

### Claim 25 (depends on 18)

The computer-implemented method of claim 18 wherein the vehicle route preference-affecting game activity included in the at least one game-based interface includes scavenger hunts.

### Claim 26 (depends on 18)

The computer-implemented method of claim 18 wherein the set of favorable routing choices is configured to achieve the reduced noise in the geographic region objective.

### Claim 27 (depends on 18)

The computer-implemented method of claim 18 wherein the set of favorable routing choices is configured to achieve the avoidance of undivided highways objective.

### Claim 28 (depends on 18)

The computer-implemented method of claim 18 wherein the set of favorable routing choices is configured to achieve the avoidance of left turns objective.