Road Work Event Verification Using Probe Speed Profiles
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Solution Overview
Problem
Existing road work event warnings are often inaccurate or outdated, leading to decreased driver confidence and a need for more detailed lane-level information to enhance navigation and autonomous driving systems.
Innovation Solution
A method to determine road work event confidence by evaluating road network speed profiles and probe speed profiles, using dynamic speed limit sign data and geolocation information, to verify the accuracy of road work events and provide lane-level information, thereby suppressing false positives and ensuring accurate warnings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If road work event information is published from various sources, then the quantity of road work warnings is increased, but the accuracy and reliability of these warnings deteriorates
Solution Approach 1:
The system uses probe data from vehicles as feedback to verify road work events. By continuously monitoring speed profiles and comparing them against expected patterns, the system validates whether reported road work events are genuine, thereby maintaining high reliability while processing multiple warning sources.
Solution Approach 2:
The patent introduces an intermediary verification process using probe data and speed profile analysis between the raw road work event reports and the final published warnings. This intermediary layer filters out false positives while preserving legitimate events, resolving the contradiction between quantity and accuracy.
2Measurement precision
If detailed lane level information is provided for road work events, then the precision of navigation information is improved, but the complexity of data processing increases
Solution Approach 1:
The system segments the road network into discrete road segments and associates probe data with specific segments. This segmentation enables precise lane-level localization of road work events while simplifying data processing through modular, segment-based analysis rather than handling entire road networks as single units.
Solution Approach 2:
The system uses existing probe data from vehicles equipped with sensors to automatically verify and refine road work event locations. This self-service approach leverages readily available data from the vehicle fleet to achieve high precision without requiring additional complex processing infrastructure.
3Reliability
If road work events are verified using probe data and speed profiles, then the reliability of published warnings is improved, but the time required for verification increases
Solution Approach 1:
The system performs preliminary actions by continuously collecting and storing probe data and speed profiles from vehicles before road work verification is needed. This pre-collected data is readily available when verification is required, reducing the time needed for validation while maintaining high reliability through thorough comparison against expected speed patterns.
Data Source
AI summary
A method, apparatus and computer program product for determining a road work event confidence are described herein. In the context of a method, the method may determine a road network speed profile corresponding with a road work event location. The method may determine, based at least in part on probe data corresponding with the road work event location, a probe speed profile. The method may determine the road work event confidence based at least in part on evaluation of the road network speed profile and the probe speed profile. Evaluation of the road network speed profile and the probe speed profile may comprise identifying a plurality of road segments corresponding with the road work event location and correlating road network speed profile characteristics and probe data characteristics for each respective road segment.