Rideshare Security Monitoring via Location Deviation Detection
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Solution Overview
Problem
Rideshare programs face challenges in participant security and compatibility, as well as transaction efficiency, due to the need for reliable matching and monitoring of participants with unknown backgrounds, which can deter participation and compromise safety.
Innovation Solution
A rideshare system and method that utilizes participant devices with communication and location tracking capabilities to facilitate matching, provide security monitoring, and offer incentives, ensuring participant safety through real-time tracking and anomaly detection, and responding to security alerts.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If rideshare programs match participants with unknown backgrounds, then resource efficiency improves, but participant security deteriorates
Solution Approach 1:
The system performs preliminary background checks, compatibility assessments, and safety verifications on participants before matching them in the rideshare program. This advance preparation ensures that resource efficiency is maintained while security risks are mitigated through pre-screening procedures.
Solution Approach 2:
The patent introduces an intermediary monitoring system that acts as a mediator between participants. This system continuously monitors ride transactions, tracks participant locations, and provides real-time security oversight, allowing the program to maintain high resource efficiency while ensuring participant safety through automated surveillance and intervention capabilities.
2Reliability
If real-time monitoring is implemented, then participant security improves, but system complexity increases
Solution Approach 1:
The monitoring system is designed to perform multiple functions simultaneously: tracking participant locations, verifying route compliance, detecting security anomalies, and providing emergency response coordination. This multi-functionality consolidates what could be multiple separate complex systems into a single integrated platform, improving security while managing complexity.
Solution Approach 2:
The system employs automated algorithms and AI-driven analytics that operate autonomously to monitor ride transactions and detect security concerns. This self-service capability reduces the need for manual oversight and human intervention, thereby improving security monitoring effectiveness while minimizing the operational complexity burden on human operators.
3Reliability
If compatibility screening is performed, then participant safety improves, but transaction efficiency decreases
Solution Approach 1:
The system implements a tiered compatibility screening approach where essential safety checks are performed for all participants, while more extensive compatibility assessments are conducted only when necessary. This partial action approach ensures baseline safety for all transactions while maintaining efficiency by avoiding unnecessary comprehensive screenings in low-risk scenarios.
Solution Approach 2:
The patent dynamically adjusts screening parameters and depth based on risk assessments, participant histories, and ride characteristics. By changing the stringency and scope of compatibility screening parameters adaptively, the system maintains high participant safety standards while optimizing transaction efficiency by reducing screening intensity for low-risk matches.
Data Source
AI summary
A system and method for rideshare security is provided. A rideshare participant device is made available to at least one rideshare participant during a rideshare. A security check is triggered while the rideshare is in progress. An action is performed based on the security check. Security information regarding the rideshare participant device is gathered and analyzed for inconsistencies. A security response provider is contacted when the inconsistency is identified.