Smart Contract Trip Analysis for Ride-Hailing Safety Alerts
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Solution Overview
Problem
Existing online ride-hailing systems face safety risks due to random matching of drivers and passengers, leading to delayed and ineffective alarm mechanisms for violations.
Innovation Solution
A method utilizing smart contracts on a blockchain platform for real-time data analysis, generating alerts and disclosures when safety thresholds are exceeded, including route deviations, acceleration levels, and driver verification, to trigger alarms and emergency notifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If random matching system is used for driver-passenger pairing, then system complexity is reduced and ease of operation is improved, but safety reliability deteriorates due to inability to verify driver identity
Solution Approach 1:
The system performs preliminary actions by storing driver images and trip order information in advance on the blockchain before the actual trip occurs. When a trip is initiated, the system automatically retrieves and verifies the driver's image against stored data, ensuring identity verification happens proactively rather than reactively, thus maintaining safety without complicating the matching process
Solution Approach 2:
The blockchain serves as an intermediary that stores and verifies driver information, trip orders, and image data. This decentralized ledger acts as a trusted mediator between the random matching system and safety verification requirements, enabling automatic identity confirmation without adding manual complexity to the driver-passenger pairing process
2Device complexity
If existing alarm mechanism is used that waits for police call, then system complexity is minimized, but response time deteriorates resulting in delayed alarm
Solution Approach 1:
The system implements continuous feedback by monitoring trip data in real-time during the journey. Sensors and onboard equipment continuously upload trip information to the blockchain, which automatically compares current trip parameters against stored trip orders and safety thresholds. This real-time feedback loop enables immediate detection of anomalies and automatic triggering of alarm mechanisms without waiting for manual police contact
Solution Approach 2:
The system performs preliminary actions by pre-storing trip order information, driver images, and safety thresholds on the blockchain before trips begin. This advance preparation enables automatic real-time verification and comparison during the trip, allowing the system to immediately detect deviations and trigger alarms without requiring complex real-time decision-making or manual intervention
3Reliability
If real-time trip data monitoring and smart contract triggering is implemented, then safety reliability is improved, but device complexity increases due to blockchain integration
Solution Approach 1:
The blockchain serves multiple functions simultaneously: it stores driver information, verifies identities through image comparison, records trip orders, monitors trip data in real-time, triggers smart contracts, and coordinates alarm mechanisms. This multi-functionality consolidates what would otherwise require separate complex systems into a single decentralized platform, improving safety while managing overall system complexity
Solution Approach 2:
The system implements self-service through automatic smart contract execution on the blockchain. When trip data deviations are detected, the smart contracts automatically trigger appropriate responses (such as sending alerts to police or notifying users) without requiring manual intervention or complex centralized control systems. This automation reduces the need for complex human-operated monitoring and response mechanisms
Data Source
AI summary
A method for data analysis, an electronic device, and a computer readable storage medium are provided. The method includes the following. A trip order is obtained. A smart contract is generated based on the trip order. Trip data uploaded by an on-board equipment is obtained. The smart contract is triggered based on the trip data and the trip order. Early-warning which corresponds to the smart contract is performed.