Vehicle Occupancy Verification via GPS Co-location

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Solution Overview

Problem

Current systems for enforcing carpool occupancy requirements and verifying single-occupancy access in High Occupancy Vehicle (HOV) and High Occupancy/Toll (HOT) lanes face challenges such as incorrect billing, costly human intervention, and driver error in self-reporting systems, leading to inefficiencies and congestion.

Innovation Solution

The RideFlag system uses mobile device GPS data and user interfaces to verify vehicle occupancy by matching drivers and riders, confirming co-location through GPS coordinates, and submitting verified data to regulatory bodies for rewards such as HOV or HOT lane access, offering a robust incentive structure based on occupancy and location parameters.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Extent of automation

If photo confirmation technology is used to determine occupancy, then occupancy verification is automated, but incorrect confirmations occur requiring costly human operator intervention

Engineering Contradiction:
Improveoccupancy verification automationVSAvoidoccupancy verification accuracy
Core Design Contradiction:
Extent of automationVSReliability

Solution Approach 1:

The patent introduces an intermediary verification system that cross-checks multiple data sources (transponder records, trip logs, occupancy sensors) between the photo confirmation system and the billing system. This intermediary layer filters out false positives and negatives before final occupancy determination, reducing incorrect confirmations while maintaining automation.

Inventive Principle:
Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements feedback loops where occupancy verification results are continuously refined based on historical data, sensor inputs, and correction mechanisms. When discrepancies are detected, the system automatically requests re-verification or adjusts its algorithms, improving accuracy over time while maintaining automated operation.

Inventive Principle:
Principle #23Feedback

2Ease of operation

If transponder-based systems with driver input are used, then occupancy reporting is simplified, but system failure occurs when drivers fail to timely or properly indicate carpool activity

Engineering Contradiction:
Improveoccupancy reporting simplicityVSAvoidcarpool activity indication reliability
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The system enables self-service occupancy verification through multiple automatic detection methods. Sensors in the vehicle automatically detect occupancy, transponders automatically record trip data, and the system automatically submits verification to regulatory bodies, eliminating the need for manual driver input while maintaining ease of use.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system performs preliminary occupancy verification before lane access is granted. Sensors and transponders continuously monitor and pre-verify occupancy status, so when verification is needed, the system already has the data ready, eliminating the need for last-minute driver action and ensuring reliable reporting.

Inventive Principle:
Principle #10Preliminary action

3Productivity

If HOV lanes are dedicated solely to carpooling, then carpooling incentive is maximized, but congestion increases in regular lanes particularly in introductory phase

Engineering Contradiction:
Improvecarpooling incentive effectivenessVSAvoidregular lane congestion
Core Design Contradiction:
ProductivityVSObject-generated harmful factors

Solution Approach 1:

The system implements dynamic lane access management where HOV lane restrictions and toll rates adjust based on real-time occupancy verification, traffic conditions, and demand. This dynamic approach allows flexible management of lane usage to balance carpooling incentives with overall traffic flow, reducing congestion in regular lanes while maintaining HOV lane effectiveness.

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system changes key parameters such as toll rates, occupancy requirements, and lane access conditions based on verified occupancy data and traffic patterns. By dynamically adjusting these parameters, the system optimizes the balance between providing carpooling incentives and managing overall traffic congestion across all lanes.

Inventive Principle:
Principle #35Parameter changes

4Adaptability or versatility

If HOT lanes with paid access are introduced, then political acceptability increases, but verification complexity and billing accuracy challenges increase

Engineering Contradiction:
Improvelane access flexibilityVSAvoidverification system complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent implements a universal verification system that handles multiple lane types (HOV, HOT, mixed-traffic) and multiple verification methods (photo confirmation, transponder data, sensor inputs) through a single integrated platform. This multi-functional system simplifies verification complexity by providing a unified approach that adapts to different lane requirements while maintaining political acceptability and flexibility.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS10922703B2Vehicle occupancy multiple verification utilizing proximity confirmation
Publication Date: 2021.02.16 RIDEFLAG TECH INC
  • US10922703B2 patent drawing
  • US10922703B2 patent drawing
  • US10922703B2 patent drawing

AI summary

The present invention is a method and system to verify carpool occupancy compliance for access to High Occupancy Vehicle (HOV) lanes, High Occupancy or Toll (HOT) lanes, or other vehicle-occupancy contingent rewards and other incentives. The present invention uses software and hardware devices with radio-frequency transmitter modules to permit the determination of rewards or incentives based upon meeting thresholds of occupancy, verification of use, or number of points accrued. This driver-rider co-location is performed via push notification and server analysis of driver and rider GPS data. Alternatively, co-location is performed using a combination of GPS data analysis and photographic analysis. Occupancy compliance rewards can be communicated directly to the driver and riders within a vehicle.