Dynamic V2X Map Database Using Real-Time Vehicle Data
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Solution Overview
Problem
Current systems for creating and maintaining maps for Vehicle-to-Everything (V2X) applications rely on static maps, which are time-consuming to update and lack accuracy, especially in dynamic environments like intersections with frequent changes.
Innovation Solution
The proposed solution uses dynamic map generation and updating through data exchange between Vehicle-to-Everything (V2X) on-board units and roadside equipment, incorporating vehicle dynamic data, traffic controller data, and GPS data to create and maintain accurate lane-level maps, reducing manual intervention and improving accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If static maps are used for V2X applications, then map data consistency is maintained, but map update time increases and accuracy decreases in dynamic environments
Solution Approach 1:
The patent transforms static maps into dynamic maps that automatically update in real-time by collecting vehicle position data, speed profiles, and trajectory information from multiple vehicles. The system continuously generates updated map data reflecting current road conditions, lane configurations, and environmental changes, eliminating the time-consuming manual update process while maintaining high accuracy in dynamic environments.
Solution Approach 2:
The system implements feedback mechanisms where vehicle data (positions, speeds, trajectories) is continuously collected and processed to generate updated map information. This feedback loop enables automatic detection of road changes, lane modifications, and environmental variations, allowing the map to adapt dynamically without manual intervention and significantly reducing update time while improving accuracy.
2Reliability
If manual map updating is used, then map data quality is controlled, but maintenance effort and time consumption increase significantly
Solution Approach 1:
The patent enables the map system to self-update automatically by collecting and processing vehicle-generated data. The system autonomously detects road changes, generates updated map data, and maintains itself without manual intervention. This self-service approach dramatically reduces maintenance effort and time consumption while preserving data quality through continuous validation and cross-verification of vehicle data sources.
Solution Approach 2:
The system implements continuous map maintenance through ongoing collection and processing of vehicle data streams. Instead of periodic manual updates, the map is continuously refined and updated in real-time as vehicles traverse the environment, ensuring current and accurate map data while eliminating the labor-intensive nature of manual updating processes.
3Measurement precision
If lane-level maps are created for all intersections, then application accuracy improves, but the number of maps to manage increases dramatically
Solution Approach 1:
The patent merges map data from multiple vehicles and sources into a unified dynamic map system. Instead of managing separate static maps for each intersection, the system combines real-time vehicle position data, speed profiles, and trajectory information to generate comprehensive lane-level maps that automatically cover all relevant intersections. This consolidation reduces management complexity while maintaining high application accuracy through integrated multi-source data.
Solution Approach 2:
The dynamic map system serves multiple V2X applications simultaneously with a single unified map structure. The same map data supports collision avoidance, route planning, traffic flow analysis, and other safety-critical functions across all intersections where vehicle data is available. This multi-functional approach eliminates the need to create and manage separate specialized maps for different applications, significantly reducing overall system complexity.
Data Source
AI summary
DSRC (Dedicated short range communication) is expected to play a significant role in Transportation applications for Public Safety and Traffic Management. Some of the key applications especially safety and mobility application requires an accurate representation of the road segments. Accordingly, here, in one example, we describe a method and infrastructure for DSRC V2X (vehicle to infrastructure plus vehicle) system. This presentation, e.g., adds the following improvements on the existing technologies, as some of the examples: (a) Using Speed-Profiles for identifying Intersections/mandatory-stops/Speed-limits, etc. Also, the extension of the map coverage using speed profile data. (b) Vehicular density identification for determining confidence of generated MAP. (c) Mechanisms for identifying Lane Attributes, like Lane-Width, Lane-Connections, Possible Movement states, average travel-time on the lane, etc. In this presentation, we provide various methods and systems to manage and update such maps and its corresponding information, plus many variations on those.