Vehicle Blockchain Verification for Traffic Violation Coverage
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Solution Overview
Problem
Existing road traffic rule violation systems have limited coverage and are costly to expand, making it difficult to monitor traffic rule violations across all road sections effectively.
Innovation Solution
A traffic information processing method utilizing a blockchain network where vehicles monitor and verify each other's violations, with smart contracts determining the validity of reported violations and storing them in the blockchain for accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If more cameras are provided in fixed locations to improve coverage, then the coverage of traffic rule violation detection is improved, but the workload and system complexity increase significantly
Solution Approach 1:
The patent divides the traffic monitoring system into multiple independent vehicles, each equipped with detection devices. Instead of having a centralized system with cameras at fixed locations, the monitoring function is segmented and distributed across numerous mobile vehicles, allowing coverage to be expanded without proportionally increasing system complexity
Solution Approach 2:
Vehicles in the patent perform self-monitoring and mutual monitoring of traffic rule violations. Each vehicle is equipped with detection devices that can independently identify violations and report them, eliminating the need for centralized camera systems and reducing overall system complexity while maintaining wide coverage
2Area of stationary object
If more cameras are provided in fixed locations to improve coverage, then the coverage of traffic rule violation detection is improved, but the cost and workload increase too high
Solution Approach 1:
The system enables vehicles to automatically detect, record, and report traffic rule violations without human intervention. The detection devices on vehicles autonomously identify violations and transmit information to the server, dramatically reducing the manual workload associated with monitoring and processing violation data while expanding coverage area
3Difficulty of detecting and measuring
If fixed location cameras are used to detect traffic rule violations, then the detection method is simple, but the coverage is limited and difficult to achieve full road coverage
Solution Approach 1:
The patent transitions from static fixed-location cameras to dynamic mobile vehicles as detection platforms. Vehicles move throughout the road network, providing dynamic coverage that adapts to traffic patterns and road conditions, thereby expanding the coverage area while maintaining relatively simple detection mechanisms through automated image capture and analysis
4Area of stationary object
If vehicle-to-vehicle monitoring is implemented to increase coverage, then the coverage and cost-effectiveness are improved, but the verification complexity increases
Solution Approach 1:
The patent implements a feedback mechanism where detected violations are reported to a server that coordinates verification by second vehicles. The server manages the verification process, receives results from multiple vehicles, and determines final violation status based on aggregated evidence, thereby simplifying the overall verification complexity through centralized coordination
Solution Approach 2:
The server in the patent performs multiple functions including receiving violation reports, coordinating verification vehicles, aggregating results, and determining final violation status. This multi-functional centralized system handles the complexity of verification, allowing individual vehicles to maintain simple detection and reporting capabilities while achieving comprehensive verification through the universal server platform
Data Source
AI summary
The present disclosure relates to traffic information processing methods, including: receiving transaction information sent by a first vehicle, the transaction information carrying violation information of the target vehicle detected by the first vehicle; the smart contract being used to determine second vehicles to verify the transaction information, and sending the violation information to the second vehicles such that the second vehicles generate verification results based on the violation information; determining whether the target vehicle has violated traffic rules based on the verification results; if determining that the target vehicle has violated traffic rules, storing the violation information in the blockchain network.


