Fleet Toll Data Correlation for Error Detection
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Solution Overview
Problem
Current fleet management systems lack effective methods for identifying and mitigating errors in toll bills, as they do not efficiently correlate toll transaction data with telematic data, making it difficult for customers and fleet managers to detect errors and optimize toll routes, leading to potential overpayment and increased costs.
Innovation Solution
The system generates a correlated dataset by normalizing and comparing toll transaction data from multiple agencies with telematic data from vehicles, allowing for error identification, vehicle tag reassignment, and optimization of toll routes to minimize costs and prevent fraud.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If toll transaction data is aggregated from multiple toll agencies without correlation to telematic data, then toll billing coverage is improved, but error detection capability deteriorates
Solution Approach 1:
The patent introduces telematic data as an intermediary element to mediate between toll transaction data from multiple agencies and the error detection process. By correlating GPS location, timestamp, and route information from telematic systems with toll transaction records, the system creates a verification layer that enables accurate error detection while maintaining comprehensive multi-agency billing coverage
Solution Approach 2:
The system implements feedback by continuously comparing toll transaction data against telematic data to identify discrepancies. When errors are detected through this comparison process, the system generates error alerts and enables dispute management, creating a closed-loop feedback mechanism that improves billing accuracy while maintaining broad agency coverage
2Difficulty of detecting and measuring
If detailed toll transaction data is provided to customers, then error identification capability is improved, but data security and privacy risks worsen
Solution Approach 1:
The patent segments toll transaction data into different levels of detail and accessibility. The system provides aggregated error statistics and correlation results to customers while maintaining secure access controls for raw transaction data. This segmentation allows customers to benefit from error identification capabilities without exposing them to unnecessary data security risks
Solution Approach 2:
The system uses the fleet management platform as an intermediary between toll agencies and customers. Rather than directly exposing raw toll transaction data to customers, the platform processes and correlates the data with telematic information, then presents error identification results in a secure, controlled manner that maintains both error detection capability and data security
3Productivity
If telematic data is collected and correlated with toll data, then route optimization capability is improved, but system complexity worsens
Solution Approach 1:
The patent implements a multi-functional correlation system that simultaneously performs error detection, route optimization, and dispute management using the same telematic-toll data correlation infrastructure. This universal approach allows the system to achieve route optimization capability without proportionally increasing complexity, as the same data processing serves multiple business functions
Solution Approach 2:
The system merges telematic data collection and toll transaction data processing into a unified correlation engine. By combining these data streams and processing them through a single integrated system rather than separate systems, the patent achieves route optimization capability while minimizing the increase in overall system complexity
4Productivity
If toll bills are generated without correlation to actual vehicle routes, then billing processing speed is improved, but billing accuracy deteriorates
Solution Approach 1:
The patent implements preliminary action by pre-correlating telematic route data with toll transaction data before final bill generation. The system performs initial correlation processing and error identification in advance, allowing the final billing process to proceed quickly while maintaining high accuracy through the pre-established data relationships
Data Source
AI summary
Systems and methods are provided for improved fleet management. For example, disclosed embodiments access toll transaction data received from one or more toll agencies, normalize the toll transaction data from each toll agency, access telematic data, normalize the telematic data, and generate a correlated trip dataset comprising the normalized toll transaction data and the normalized telematic data. Based on the correlated trip dataset, systems are configured to calculate a net present toll value, identify toll bill errors, identify pre-violations, and identify vehicle fraud and abuse.