# US 12,217,603 B2 · System and methods for quantifying greenhouse gas emissions via measurement and modelling of traffic data and for influencing traffic signaling to reduce such emissions

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- Number: US 12,217,603 B2
- Document ID: US12217603B2
- Status: Granted
- Kind: B2
- Application number: 18/180,489
- Filed: 2023-03-08
- Published: 2023-09-14
- Granted: 2025-02-04
- Earliest claimed: 2022-03-09
- Assignees: Miovision Technologies Incorporated
- Applicants: Miovision Technologies Incorporated
- Inventors: Kurtis N. McBride; Sajad Shiravi Khozani; Maximilien Ronald Phillip Schirm; Stephan Volodymyr Oryst Pidzamecky; David Andrew Brown; Mary Adelaide Denison; Conrad Seaman; Matthew Iulian Muresan
- Web page: https://patentgrep.com/patent/US12217603B2

## CPC

- G08G 1/081: Plural intersections under common control
- G06Q 10/04: Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" (market predictions or forecasting for commercial activities G06Q30/0202)
- G06Q 10/063: Operations research, analysis or management
- G06Q 30/0201: Market modelling; Market analysis; Collecting market data
- G06Q 40/04: Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange
- G06Q 50/26: Government or public services (business processes related to the transportation industry G06Q50/40)
- G06Q 50/40: Business processes related to the transportation industry (shipping G06Q10/083)
- G06V 20/54: of traffic, e.g. cars on the road, trains or boats
- G08G 1/0112: {from the vehicle, e.g. floating car data [FCD]}
- G08G 1/0116: {from roadside infrastructure, e.g. beacons}
- G08G 1/0129: {for creating historical data or processing based on historical data}
- G08G 1/0137: {for specific applications}
- G08G 1/0145: {for active traffic flow control}
- G08G 1/017: identifying vehicles (G08G1/015, G08G1/054 take precedence)
- G08G 1/0175: {by photographing vehicles, e.g. when violating traffic rules}
- G08G 1/04: using optical or ultrasonic detectors
- G08G 1/052: with provision for determining speed or overspeed {(speed measuring in general G01P)}
- G08G 1/056: with provision for distinguishing direction of travel
- G08G 1/08: according to detected number or speed of vehicles
- G06N 20/00: Machine learning
- 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})
- 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
- G06V: IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS

## Abstract

A system and method are provided for quantifying greenhouse gas (GHG) emissions associated with vehicle traffic. The method includes receiving data from a plurality of devices located at a plurality of traffic intersections in a traffic network, each device comprising at least one sensor configured to obtain data from the corresponding traffic intersection; using the received data and a traffic model to determine vehicle trajectory data; using the vehicle trajectory data and an emissions model to obtain corresponding GHG emissions data; and evaluating the corresponding GHG emissions data to a baseline of GHG emissions using a GHG quantification methodology to determine a GHG reduction that can achieve a carbon offset credit.

## Claims

### Claim 1

A method of quantifying greenhouse gas (GHG) emissions associated with vehicle traffic, the method comprising:
receiving data from a plurality of devices located at a plurality of traffic intersections in a traffic network, each device comprising at least one sensor configured to obtain data from the corresponding traffic intersection;
using the received data and a traffic model to determine vehicle trajectory data;
using the vehicle trajectory data and an emissions model to obtain corresponding GHG emissions data; and
evaluating the corresponding GHG emissions data to a baseline of GHG emissions using a GHG quantification methodology to determine a GHG reduction that can achieve a carbon offset credit.

### Claim 2 (depends on 1)

The method of claim 1, wherein the received data comprises camera data obtained at the traffic intersection using a video capture device configured to obtain images and/or video data.

### Claim 3 (depends on 1)

The method of claim 1, wherein the received data comprises data from a plurality of intelligent signaling devices located at the plurality of traffic intersections.

### Claim 4 (depends on 1)

The method of claim 1, wherein the traffic model is used to identify a type of vehicle, a direction of travel of the vehicle, and a speed of the vehicle.

### Claim 5 (depends on 4)

The method of claim 4, further comprising receiving vehicle data from at least one vehicle traveling through one of the plurality of intersections.

### Claim 6 (depends on 1)

The method of claim 1, wherein the received data is used to determine a vehicle type, and the vehicle type is used in obtaining the corresponding GHG emissions data.

### Claim 7 (depends on 1)

The method of claim 1, wherein the baseline of GHG emissions is determined dynamically over a timespan associated with a project, by periodically re-quantifying the baseline of GHG emissions based on current measured network conditions.

### Claim 8 (depends on 7)

The method of claim 7, wherein the received data is used periodically to determine inputs that vary over time to update baseline estimates of the network conditions, used to determine the baseline of GHG emissions.

### Claim 9 (depends on 1)

The method of claim 1, wherein the baseline of GHG emissions is determined using a statistical model of pre-project emissions or other data collected periodically over a life of the project.

### Claim 10 (depends on 1)

The method of claim 1, further comprising:
using data from multiple signaling devices to calculate a route traveled by a vehicle associated with the vehicle trajectory data; and
using the route to determine a distance traveled by the vehicle in applying the GHG quantification methodology.

### Claim 11 (depends on 1)

The method of claim 1, wherein the GHG quantification methodology follows an industry standard.

### Claim 12 (depends on 10)

The method of claim 10, wherein the industry standard corresponds to ISO 14064-2:2019.

### Claim 13 (depends on 1)

The method of claim 1, further comprising submitting the GHG reduction determination for obtaining a carbon offset credit.

### Claim 14 (depends on 1)

The method of claim 1, wherein the corresponding GHG emissions data and the baseline of GHG emissions are estimated using a set of inputs, the set of inputs comprising any one or more of vehicle type, speed, acceleration, distance travelled, or emissions factors.

### Claim 15

A method of reducing greenhouse gas (GHG) emissions by influencing traffic signaling and timing, the method comprising:
determining baseline GHG emissions for traffic in an intersection or network comprising a plurality of intersections;
updating a signal timing plan or signal control strategy at the intersection or plurality of intersections;
quantifying GHG emissions for impacted vehicles based on the updated signal timing plan or signal control strategy; and
comparing new GHG emissions to the baseline GHG emissions to compute carbon offset credits.

### Claim 16 (depends on 15)

The method of claim 15, further comprising determining an optimal signaling and timing for the intersection or plurality of intersections based on at least one iteration of the method.

### Claim 17 (depends on 16)

The method of claim 16, further comprising repeating the method periodically to adapt the optimal signaling and timing for the intersection or plurality of intersections as conditions change.

### Claim 18 (depends on 15)

The method of claim 15, wherein quantifying the GHG emissions for impacted vehicles and/or determining the baseline GHG emissions is determined by:
receiving data from a plurality of devices located at a plurality of traffic intersections in a traffic network, each device comprising at least one sensor configured to obtain data from the corresponding traffic intersection;
using the received data and a traffic model to determine vehicle trajectory data;
using the vehicle trajectory data and an emissions model to obtain corresponding GHG emissions data; and
evaluating the corresponding GHG emissions data to the baseline GHG emissions using a GHG quantification methodology to determine a GHG reduction that can achieve a carbon offset credit.

### Claim 19 (depends on 18)

The method of claim 18, wherein the baseline GHG emissions is determined dynamically over a timespan associated with a project, by periodically re-quantifying the baseline GHG emissions based on current measured network conditions.

### Claim 20 (depends on 19)

The method of claim 19, wherein the received data is used periodically to determine inputs that vary over time to update baseline estimates of the network conditions, used to determine the baseline GHG emissions.

### Claim 21

A system for quantifying greenhouse gas (GHG) emissions associated with vehicle traffic, the system comprising a processor and memory, the memory comprising computer executable instructions that, when executed by the processor, cause the system to:
receive data from a plurality of devices located at a plurality of traffic intersections in a traffic network, each device comprising at least one sensor configured to obtain data from the corresponding traffic intersection;
use the received data and a traffic model to determine vehicle trajectory data;
use the vehicle trajectory data and an emissions model to obtain corresponding GHG emissions data; and
evaluate the corresponding GHG emissions data to a baseline of GHG emissions using a GHG quantification methodology to determine a GHG reduction that can achieve a carbon offset credit.

### Claim 22

A system for reducing greenhouse gas (GHG) emissions by influencing traffic signaling and timing, the system comprising a processor and memory, the memory comprising computer executable instructions that, when executed by the processor, cause the system to:
determine baseline GHG emissions for traffic in an intersection or network comprising a plurality of intersections;
update a signal timing plan or signal control strategy at the intersection or plurality of intersections;
quantify GHG emissions for impacted vehicles based on the updated signal timing plan or signal control strategy; and
compare new GHG emissions to the baseline GHG emissions to compute carbon offset credits.