Multi-Sensory Vehicle Occupancy Verification for Tolling
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Solution Overview
Problem
Current methods for enforcing High Occupancy Toll (HOT) lane discounts are ineffective, leading to high violation rates and revenue undercollection due to lack of reliable occupant verification, as conventional enforcement relies on trust and visual inspections.
Innovation Solution
A multi-sensory approach using a mobile device application that combines low power wireless networking, facial recognition, voice detection, and biometric processes to accurately verify the number of vehicle occupants, ensuring accurate toll discounts by cross-referencing data from multiple modalities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional enforcement methods (trust basis with police inspection) are used, then device complexity is low, but reliability of occupant verification is poor leading to high violation rates
Solution Approach 1:
The patent replaces manual police inspection with automated electronic sensing systems. Multiple sensors (camera, microphone, wireless communication devices, seatbelt sensors, vehicle computer) automatically detect and verify occupant numbers, eliminating the need for human inspection while improving reliability.
Solution Approach 2:
The vehicle's own systems (computer, sensors, communication devices) are used to verify occupancy status automatically. The system self-verifies by detecting wireless communication devices, facial recognition, voice detection, and biometric data without requiring external enforcement intervention.
2Measurement precision
If multiple sensory inputs are combined for verification, then measurement precision of occupant count improves, but device complexity increases
Solution Approach 1:
The patent merges multiple sensing modalities (visual cameras, acoustic microphones, wireless communication detection, biometric sensors, seatbelt sensors) into a unified verification system. These diverse sensors work together to cross-validate occupant numbers, achieving high measurement precision through complementary strengths.
Solution Approach 2:
The vehicle computer serves multiple functions: it processes data from cameras, microphones, wireless devices, biometric sensors, and seatbelt sensors. This multi-functional approach consolidates complexity into a single processing unit while maintaining high measurement precision through integrated multi-sensory verification.
Data Source
AI summary
A mobile device runs a tolling application program that, in part, can perform several vehicle occupant detection processes in order to verify the number of occupants in a vehicle. When the number of occupants is verified, then (when the number is more than one) discounts on tolls can be applied to toll transactions. In order to avoid the effect of false positive detections, several occupant sensing modalities are used and the results of each are evaluated to ensure that the correct number of occupants has been determined.