Automated Traffic Profile Generation via Location Data
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Solution Overview
Problem
Current systems for providing traffic information to vehicle users through Mobile Vehicle Communication Units (MVCUs) require users to manually configure traffic profiles, which is complex and time-consuming, especially when requesting information for an entire route rather than a specific location.
Innovation Solution
A method and system that receive service requests from MVCUs, compile them into a database based on time and date, and determine traffic profiles by comparing digital map data to vehicle location data, allowing for automated generation of traffic information for specific or entire routes without manual configuration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual configuration of traffic profiles is implemented, then traffic information can be provided for specific locations, but the process becomes complicated and time-consuming
Solution Approach 1:
The system automatically generates traffic profiles by analyzing service request patterns and vehicle location data without requiring manual user configuration. The call center system self-determines routes and time periods by compiling database information and comparing digital map data to vehicle locations, eliminating the need for users to manually specify roads, days, and times.
Solution Approach 2:
The system pre-compiles service request databases and pre-determines traffic profiles based on historical data before users need the information. By analyzing past service requests and vehicle locations in advance, the system prepares traffic information that can be quickly provided when needed, eliminating real-time manual configuration requirements.
2Ease of operation
If automated traffic profile determination is implemented, then user effort is reduced, but requires compilation and processing of multiple service requests
Solution Approach 1:
The call center system performs multiple functions: it serves as a communication hub, a database management system, a data analysis engine, and a traffic information provider. By consolidating these functions into a single multi-functional system, the patent reduces the need for separate user-side configuration tools while managing the complexity centrally where resources are available.
3Adaptability or versatility
If traffic information is provided for entire routes, then comprehensive traffic coverage is achieved, but requires specifying each road and configuration becomes more complex
Solution Approach 1:
The system automatically determines complete routes by analyzing vehicle location data from service requests and comparing it with digital map data. Instead of requiring users to manually specify each road segment, the system self-generates comprehensive route profiles that cover entire commutes or travel patterns based on the compiled service request information.
Solution Approach 2:
The system pre-processes service request data to identify recurring routes and patterns before users need the traffic information. By analyzing historical location data and determining frequent travel paths in advance, the system prepares comprehensive route profiles that automatically cover entire routes without requiring real-time user specification of each segment.
Data Source
AI summary
A method of determining traffic information for a mobile vehicle includes receiving a plurality of service requests at a call center from a telematics unit via a wireless connection. The service request includes time, date, and vehicle location data. A database of the received service requests is compiled. A plurality of eligible service requests is determined based on the time and date of the received service requests in the database. A traffic profile is determined based on a comparison of digital map data to vehicle location data of the eligible service requests.