Vehicle Relative Positioning for Accurate Traffic Information
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Solution Overview
Problem
Current traffic monitoring systems using cameras provide limited and inaccurate information about the relative positions of vehicles, which hinders effective traffic prediction and accident prevention.
Innovation Solution
A method and system that utilize sensors on vehicles and in their environment, combined with conventional positioning systems like GPS and mobile radio networks, to accurately determine and provide relative positions of vehicles, enabling more detailed traffic analysis and real-time information sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If camera-based traffic monitoring is used, then traffic situation can be monitored, but measurement precision of vehicle positions is insufficient
Solution Approach 1:
The patent combines multiple data sources including GPS positioning data, sensor data from vehicles (radar, lidar, cameras), and infrastructure-based sensors to determine relative vehicle positions. This fusion of multiple measurement systems achieves higher precision than camera-based monitoring alone, directly resolving the contradiction between measurement precision and reliability of traffic information.
2Loss of information
If more detailed vehicle position data is collected, then traffic predictions improve, but device complexity increases
Solution Approach 1:
The system divides the complex task of traffic monitoring into distributed components: vehicles autonomously collect and process their own sensor data and GPS information, then share processed relative position data with other vehicles and traffic authorities. This segmentation reduces individual device complexity while maintaining comprehensive information collection across the entire traffic network.
Solution Approach 2:
Each vehicle equipped with sensors and GPS autonomously determines its own position and calculates relative positions to other vehicles, then shares this information without requiring complex centralized processing. This self-service approach minimizes the computational burden on central traffic authorities while achieving complete traffic information collection.
Data Source
AI summary
A method (30) of providing traffic related information is provided. The method (30) is performed in a device (18a, 18b, 18c, 18d, 18e) and comprises obtaining (31) data relating to a first vehicle (21) and data relating to a second vehicle (22); establishing (32) a relative position between the first vehicle (21) and the second vehicle (22) based on the obtained data; and providing (33), to an entity (13, 14, 19e) in the first vehicle (21), information based on the established relative position. A corresponding device, computer program and computer program product are also provided.