V2X MAP Messages With Time Attributes for Dynamic Road Updates
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Solution Overview
Problem
Existing vehicle-to-everything (V2X) systems fail to provide timely and accurate map element information, leading to suboptimal route planning and reduced travel efficiency due to the inability to dynamically update map data reflecting changes in traffic environments such as road conditions and lane attributes.
Innovation Solution
Incorporating a time attribute into MAP messages that include node-level, road-level, and lane-level map element information, allowing for the representation of valid periods, confidence levels, and dynamic changes, enabling vehicles to receive accurate and timely updates on map data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing map message mechanism is used, then map data can be provided to vehicles, but timeliness and accuracy of map element information cannot be improved when traffic environment changes
Solution Approach 1:
The patent applies dynamics by making the map message structure adaptable and flexible through the introduction of a time attribute. The time attribute enables the map message to dynamically reflect current traffic conditions by indicating the validity period of map element information. This allows the system to transition from static map data to dynamic map data that automatically updates when traffic environments change, resolving the contradiction between reliability and timeliness.
Solution Approach 2:
The patent changes the parameter structure of the map message by adding a time attribute parameter. This parameter includes elements such as valid start time, valid end time, and confidence level. By modifying the message structure to include these temporal parameters, the system can convey not only what the map elements are but also when they are valid, thereby improving both the accuracy and timeliness of map element information simultaneously.
2Loss of time
If map data is updated frequently to improve timeliness, then accuracy of current traffic conditions improves, but message complexity and data transmission overhead increase
Solution Approach 1:
The patent applies partial action by selectively including only the necessary time attribute information in the map message. Rather than transmitting complete historical data or excessive detail, the message includes specific temporal parameters (valid start time, valid end time, confidence level) that are sufficient to determine timeliness. This partial inclusion approach improves timeliness while avoiding unnecessary message complexity.
Solution Approach 2:
The patent extracts the essential temporal characteristics from complex traffic data and represents them through a simplified time attribute structure. By taking out only the critical time-related parameters (validity period and confidence level) rather than transmitting all possible map details, the system achieves timeliness improvement without proportionally increasing message complexity.
3Reliability
If comprehensive map element information is provided to improve accuracy, then route planning quality improves, but information processing load on vehicles increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and pre-packaging the time attribute information along with the map element data. The road side apparatus prepares the validity period and confidence level information in advance, so that vehicles receive ready-to-use timeliness indicators without needing to perform complex post-processing calculations. This reduces the energy consumption of vehicles while maintaining comprehensive and accurate map information.
Solution Approach 2:
The patent incorporates feedback mechanisms through the confidence level parameter in the time attribute. This confidence level provides vehicles with feedback on the reliability of the map element information, allowing them to prioritize processing of high-confidence data and potentially skip or de-prioritize processing of low-confidence data. This feedback-driven approach improves route planning accuracy while reducing unnecessary energy consumption on processing low-quality information.
Data Source
AI summary
A road side apparatus obtains a first map message. The first map message includes map element information describing a map element, and a time attribute of the map element information. The map element includes at least one of a node-level map element, a road-level map element, or a lane-level map element. The map element information includes at least one of node-level map element information, road-level map element information, or lane-level map element information. The road side apparatus sends the first map message. A terminal obtains the map element information and the time attribute from the first map message.