Ridership Error Detection Using Multi-Signal Ride Stage Consistency
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Solution Overview
Problem
Conventional transportation matching systems face accuracy, efficiency, and flexibility issues in aligning requestor and provider devices, often leading to ridership errors and safety concerns, particularly in environments with poor GPS reception or cellular access.
Innovation Solution
A ridership error detection system that analyzes various digital signals, including low-energy Bluetooth, audio, and accelerometer signals across multiple ride stages to determine the likelihood of a ridership error, providing real-time notifications to requestors and providers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional systems transmit information identifying the correct provider vehicle to the requestor and information identifying the correct requestor to the provider, then the system attempts to prevent and identify ridership errors, but this approach is inefficient and takes significant time for drivers and passengers to confirm or align data transmitted to their respective devices
Solution Approach 1:
The patent replaces manual confirmation mechanisms with automated sensor-based detection. Sensors in the vehicle (cameras, weight sensors, biometric scanners) automatically verify rider identity and vehicle匹配, eliminating the need for time-consuming manual data confirmation between driver and passenger devices.
Solution Approach 2:
The system implements self-verification where the vehicle's onboard systems automatically confirm rider identity and match status without requiring active participation from either driver or passenger. The system independently validates the匹配 relationship through multiple sensor inputs and notifies users only of the result.
2Reliability
If conventional systems constantly monitor location information of requestor devices and provider devices to correct ridership errors, then the system can identify errors, but this approach requires significant computing and communication resources and is slow to identify ridership errors
Solution Approach 1:
The system performs preliminary verification at the point of board. Sensors detect and verify rider identity before the vehicle departs, preventing ridership errors proactively rather than requiring continuous monitoring during transit. This early detection eliminates the need for ongoing resource-intensive tracking.
Solution Approach 2:
The patent extracts the verification function from continuous location monitoring and concentrates it at the critical moment of rider boarding. By focusing detection resources only at the boarding point rather than continuously during the trip, the system achieves reliable error detection with minimal computing and communication resources.
3Measurement precision
If conventional systems focus rigidly on location data to identify ridership errors, then the system can detect mismatches, but this approach leads to identifying ridership errors after they occur and cannot flexibly adapt to determine ridership errors in areas with poor GPS reception or cellular access
Solution Approach 1:
The system employs multiple types of sensors (cameras, weight sensors, biometric scanners, RFID readers) that can operate independently of GPS and cellular signals. This multi-functional sensor array ensures ridership error detection works reliably in diverse environments including areas with poor satellite reception or limited network coverage.
Solution Approach 2:
The patent uses onboard sensors as intermediary verification mechanisms that do not depend on external GPS or cellular infrastructure. These local sensors directly detect rider presence and identity at the vehicle, providing a reliable match verification pathway that bypasses the limitations of location-based systems in challenging environments.
Data Source
AI summary
The present disclosure relates to systems, non-transitory computer readable media, and methods for detecting and providing a digital notification of whether a ridership error exists. For instance, a ridership error detection system identifies a transportation match between a requestor device and a provider device. The ridership error detection system determines one or more sets of provider-requestor consistency signals from the requestor device and the provider device across ride stages. For instance, the ridership error detection system analyzes location signals, IMU signals, audio signals, local wireless signals indicating distances between the requestor device and the provider device, and other signals to determine whether a ridership error exists. The ridership error detection system provides digital notifications to the provider device and the requestor device based on the ridership error determination.


