Parallel Travel Probability Determination Using Speed Profile Analysis
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Solution Overview
Problem
Existing procedures struggle to determine the parallel probability of motor vehicles when transmitting driving data for complete routes, as it is challenging to assume that a motor vehicle falls into the same anonymization group as another vehicle driving the same route.
Innovation Solution
A procedure that evaluates the speed profile of a motor vehicle on a route, assigns street classes based on speed, and calculates a probability value for the parallel likelihood of other motor vehicles driving the same route, using street classes, distance between branches, and probability of use.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If driving data is anonymized by collecting similar driving data from multiple vehicles, then data protection is improved, but the accuracy of parallel driving probability determination deteriorates when vehicles do not travel the same route
Solution Approach 1:
The patent changes the parameter used for anonymization from simple spatial-temporal grouping to speed profile-based road class assignment. By transforming the anonymization criterion from location/time to speed characteristics, the system maintains data protection while improving the accuracy of identifying vehicles traveling parallel routes, as speed profiles are more consistent for vehicles on the same route regardless of minor location variations
Solution Approach 2:
The patent introduces speed profile and road class as intermediary elements between the vehicle and the anonymization group. Instead of directly grouping vehicles by location and time, the system uses speed profiles as a mediator to classify vehicles into road classes, which then form the basis for anonymization groups. This intermediary approach ensures that only vehicles with similar driving patterns (and thus likely on parallel routes) are grouped together
2Reliability
If anonymization groups are formed based on location and time, then data protection is achieved, but the assumption that all vehicles in the group travel the same route cannot be guaranteed
Solution Approach 1:
The patent changes the grouping parameter from location-time coordinates to speed profile characteristics. By using speed as the primary grouping criterion instead of spatial-temporal parameters, the system creates anonymization groups where vehicles are more likely to be traveling on the same route, as speed patterns are more indicative of route consistency than location alone
Solution Approach 2:
The patent replaces the mechanical approach of geographic-based grouping with a data-driven speed profile analysis. Instead of physically or spatially grouping vehicles by location, the system uses computational analysis of speed patterns to virtually group vehicles that exhibit similar driving behavior, making the route consistency assumption more valid
3Loss of information
If complete route data is transmitted for anonymization, then comprehensive analysis is possible, but it cannot be assumed that all vehicles in the vicinity travel the same complete route
Solution Approach 1:
The patent segments the complete route into smaller sections and analyzes speed profiles for each section independently. Instead of treating the entire route as a single unit, the system divides it into manageable segments where speed-based road class assignment can be applied locally. This segmentation allows for more accurate identification of parallel driving probability in each section without requiring all vehicles to complete the entire route
Solution Approach 2:
The patent applies partial action by focusing analysis on specific route sections rather than requiring complete route matching. By analyzing speed profiles for individual sections and calculating parallel driving probability section by section, the system achieves sufficient accuracy without the excessive requirement of complete route consistency across all vehicles
Data Source
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AI summary
The invention relates to a method for determining a parallel travel probability of motor vehicles, wherein a velocity profile (6) of a motor vehicle provided for a route is evaluated at least in portions, wherein, for evaluating on the basis of the velocity profile (6), an association is made with at least one road class (7) present on the route, and wherein, on the basis of the at least one associated road class (7), a probability value (8) is calculated and provided. The invention furthermore relates to an apparatus (1) for data processing, to a computer program and to a computer-readable storage medium.