Traffic Signal Transition Estimation Using Vehicle Queuing Patterns
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Solution Overview
Problem
Existing methods for determining traffic signal transition times are often inaccurate, leading to significant discrepancies that impact routing decisions and safety systems, as they rely on observations of vehicle movement which do not closely correspond to actual signal timing.
Innovation Solution
A system that collects positional data from GPS-enabled devices to estimate when a traffic signal transitions from red to green, using a remote processor that analyzes location information, vehicle acceleration, and learning algorithms to improve accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If GPS-detected vehicle movement is used to determine traffic signal transition times, then routing decisions can be made, but the transition times derived from these observations differ significantly from reality (by three seconds or more)
Solution Approach 1:
The system continuously monitors vehicle position data and compares observed vehicle behavior against expected patterns when signals change. This feedback loop allows the system to learn and adjust its transition time estimates, reducing the three-second error by incorporating actual signal state observations from multiple vehicles to refine future predictions.
Solution Approach 2:
The patent introduces an intermediary inference mechanism that doesn't directly observe signal transitions but deduces them through vehicle movement patterns. By using vehicle acceleration, stopping behavior, and position changes as intermediate indicators, the system can estimate signal transitions more accurately than direct observation would provide in areas where signal data is unavailable.
2Reliability
If traffic signal transition information is made universally available to driver safety systems, then safety and routing accuracy improve, but the complexity of data collection and processing increases
Solution Approach 1:
The system uses GPS-enabled devices that serve multiple functions: navigation, timing, and traffic signal observation. By making the traffic signal transition detection capability universal across all GPS-enabled vehicles rather than requiring specialized equipment, the system reduces overall complexity while improving reliability through aggregated data from multiple sources.
Solution Approach 2:
The system leverages the existing GPS infrastructure and vehicle movement data that is already being collected for navigation purposes. Rather than requiring separate dedicated sensors or equipment for traffic signal detection, the system repurposes existing data collection mechanisms, thereby reducing the complexity burden while maintaining high reliability.
Data Source
AI summary
A driver safety system estimates a time that a traffic signal transitions (e.g., from red to green) by obtaining location information from a user device in the vehicle at various times and using a physical model of the movement of the vehicle to estimate when the vehicle began to move.