Traffic Information Determination via Sensor Quality-Based Fleet Selection
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Solution Overview
Problem
Current methods for updating traffic information maps are inefficient as not all fleet vehicles have the necessary sensors and computing power to provide accurate data, leading to incomplete and inaccurate updates across all map sections.
Innovation Solution
A method and system where a central monitoring device sends targeted measurement requests to fleet vehicles based on their sensor quality, prioritizing vehicles with suitable sensors to improve data quality and coverage, and uses sensor combinations for comprehensive updates.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If all fleet vehicles are used to provide traffic information updates, then the coverage of map sections is improved, but the data quality and accuracy deteriorate because not all vehicles have necessary sensors and computing power
Solution Approach 1:
The patent applies local quality by differentiating the roles of different vehicles based on their sensor capabilities. Vehicles with appropriate sensors (cameras, LIDAR, radar) are selected for specific measurement tasks, while vehicles without these sensors are excluded from those tasks. This ensures that each vehicle contributes to map updates only in areas where it can provide high-quality data, resolving the contradiction between broad coverage and data accuracy.
Solution Approach 2:
The system changes the parameter of vehicle selection by dynamically evaluating sensor quality, computing power, and current vehicle state. The backend device adjusts which vehicles are assigned to which map sections based on real-time assessment of their capabilities, optimizing the balance between coverage area and data precision through parameter-based vehicle classification.
2Loss of information
If targeted measurement requests are sent to all vehicles, then the completeness of traffic information is improved, but the resource efficiency deteriorates due to unnecessary updates from vehicles without suitable sensors
Solution Approach 1:
The patent extracts and filters the fleet vehicle population to identify only those vehicles equipped with necessary sensors and computing power. The backend device maintains information about which vehicles have which sensors, and uses this information to extract the appropriate subset of vehicles for receiving measurement requests, eliminating waste of communication and computational resources on unsuitable vehicles.
Solution Approach 2:
The system performs preliminary assessment of vehicle capabilities before assigning measurement tasks. The backend device pre-evaluates sensor quality, computing power, and vehicle state, and only then sends targeted measurement requests to vehicles that are pre-identified as suitable. This preliminary action prevents unnecessary resource consumption from vehicles that cannot contribute quality data.
3Device complexity
If measurement requests are transmitted without considering sensor quality, then the simplicity of the system is maintained, but the uniformity and reliability of traffic information across different map sections deteriorates
Solution Approach 1:
The backend device performs multiple functions: it manages the fleet vehicle registry, evaluates sensor capabilities, determines optimal vehicle assignments, and coordinates measurement requests. By centralizing these intelligence functions in the backend, the patent maintains relative system simplicity while achieving high reliability through sophisticated sensor-quality-aware dispatch algorithms.
Data Source
AI summary
The invention relates to a method for determining traffic information with the aid of a central monitoring device which is in communication with a plurality of fleet vehicles in order to obtain traffic information from the fleet vehicles, wherein within communication with the fleet vehicles the monitoring device transmits targeted measurement requests to the fleet vehicles. In one exemplary aspect, the invention proposes that during the transmission of targeted measurement requests, the monitoring device takes account of the quality of sensors with which the individual fleet vehicle are equipped.