Partial Map Segmentation for Probe Vehicle Data Collection
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Solution Overview
Problem
Existing data collection systems for connected vehicles face inefficiencies due to the need to transmit large amounts of data across networks, leading to network resource strain and increased costs associated with updating extensive maps.
Innovation Solution
A data collection system where a server device transmits a partial map to a probe vehicle indicating which unit ranges require data collection, allowing the vehicle to selectively transmit data based on binary necessity flags, reducing data volume and enabling efficient map version management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a complete map covering all roads is transmitted to the vehicle, then the vehicle can identify all data collection opportunities, but the data transmission volume and map update costs become unmanageably large
Solution Approach 1:
The master map is divided into multiple segments, and only the segment corresponding to the vehicle's current position is extracted and transmitted as a partial map. This segmentation approach maintains complete coverage of relevant roads while significantly reducing the amount of map data that needs to be transmitted and stored in the vehicle.
Solution Approach 2:
The server extracts only the necessary portion (relevant segment) of the master map that corresponds to the vehicle's position and transmits it as a partial map. This extraction principle eliminates unnecessary map data from transmission, reducing data volume while preserving all relevant information for the vehicle's current location.
2Adaptability or versatility
If the map size is increased to cover more roads, then the vehicle can collect data from more locations, but the cost and complexity of map updates increase significantly
Solution Approach 1:
The master map is segmented into multiple regions, allowing the system to dynamically provide only the relevant segment to each vehicle based on its position. This enables the system to support extensive geographic coverage without increasing the complexity of map updates, as only specific segments need to be updated when changes occur.
Solution Approach 2:
Each vehicle receives a partial map tailored to its specific location and data collection needs, rather than a complete global map. This local optimization allows the system to adapt to different vehicles' requirements while keeping the overall system manageable and update-efficient.
3Loss of information
If all collected data is transmitted to the server, then no data is lost, but network resources are strained due to the large volume of transmitted data
Solution Approach 1:
The vehicle extracts and transmits only the data that corresponds to the unit ranges specified in the received partial map. This selective extraction ensures that no relevant information is lost while significantly reducing the volume of data transmitted over the network, thereby conserving network resources.
Solution Approach 2:
Instead of transmitting all collected data, the system transmits only the necessary portion (data from unit ranges in the partial map). This partial action approach maintains data completeness for relevant areas while avoiding the excessive data transmission that would strain network resources.
Data Source
AI summary
A data collection system includes a server device and at least one probe vehicle. The server device includes a storage unit configured to store a master map in which a necessity of data collection for each of a plurality of unit ranges included in a plurality of segments is represented by a binary value; and a server control unit configured to extract from the master map a segment corresponding to a position of the probe vehicle, and to transmit the segment to the probe vehicle as a partial map. The probe vehicle includes a data obtaining unit configured to obtain the data; and a vehicle control unit configured to identify a unit range requiring data collection based on the partial map received from the server device, and to transmit the data obtained in the unit range to the server device.