Vehicle Position Logs Detect Traffic Control Patterns
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Solution Overview
Problem
Current systems lack an efficient method to detect and analyze the presence and behavior of traffic controls, such as traffic signals and stop signs, in real-time, especially for autonomous vehicles, which can lead to navigation challenges and inaccuracies in mapping applications.
Innovation Solution
A method that receives movement data from multiple vehicles through an intersection, processes this data to detect patterns indicative of traffic controls, and stores the information in a database, allowing for the inference of probable traffic controls and their behavior, including new or temporary changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If map data of known traffic control locations is used, then navigation accuracy is improved, but the system cannot detect new or temporary traffic controls
Solution Approach 1:
The system collects movement data from multiple vehicles passing through intersections and uses this feedback to detect patterns indicating traffic controls. This continuous feedback loop enables the system to identify new or temporary traffic controls that are not present in pre-stored map data, thereby improving both navigation accuracy and adaptability to changing traffic conditions.
Solution Approach 2:
The system performs self-updating by automatically detecting traffic controls through analysis of vehicle movement patterns and storing this information in a database. This self-service mechanism allows the system to maintain current traffic control information without requiring manual updates or external intervention, enabling it to adapt to new traffic controls while maintaining navigation precision.
2Measurement precision
If real-time movement data from multiple vehicles is processed, then detection accuracy of traffic controls is improved, but computational complexity increases
Solution Approach 1:
The system segments the analysis by focusing specifically on vehicle movement data through intersections rather than processing all possible traffic parameters. By dividing the problem into focused segments (intersection passages, stopping patterns, vehicle trajectories), the system achieves high detection accuracy while managing computational complexity through targeted analysis of relevant movement patterns.
3Reliability
If position data is collected for multiple vehicles over time, then traffic control behavior analysis is improved, but data processing time increases
Solution Approach 1:
The system performs preliminary actions by continuously collecting and storing movement data from vehicles in real-time as they pass through intersections. This ongoing data collection and preliminary processing enables the system to have traffic control behavior information readily available when needed, improving reliability of analysis while minimizing processing delays through continuous rather than batch processing.
Data Source
AI summary
Methods and devices for using position logs of vehicles to determine the presence and behavior of traffic controls are disclosed. An example method includes receiving movement data that is indicative of movement of a plurality of vehicles through an intersection. The movement data may be received by a computing device and may include, for each respective vehicle, data indicative of the respective vehicle's position as a function of time for multiple instances of time. The method may further include detecting a pattern in the movement data using the computing device. The detected pattern may be indicative of a probable traffic control for the intersection. According to the method, an indication of the probable traffic control for the intersection may be stored in a database.