Vehicle-to-Infrastructure Cooperation Through Partial Information Processing
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Solution Overview
Problem
Existing vehicle-to-infrastructure cooperation systems require matching capabilities between vehicles and roads for effective information processing, leading to inefficiencies and safety issues when capabilities do not align.
Innovation Solution
A method and apparatus enabling vehicles with varying capabilities to cooperate with roads by processing and determining driving behaviors based on partial information, utilizing a hierarchy of information types (first to fifth-type information) to match road capabilities, even if complete information processing is not possible.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If complete information processing is required for effective vehicle-to-infrastructure cooperation, then decision accuracy is improved, but system compatibility deteriorates when vehicle capabilities do not match road infrastructure capabilities
Solution Approach 1:
The information is segmented into multiple types (first-type through fifth-type information) with increasing levels of detail and processing requirements. The road infrastructure provides available information types, and the vehicle processes only those types it is capable of handling, allowing both high-capability and low-capability vehicles to operate on the same infrastructure without requiring complete information processing
Solution Approach 2:
The system allows vehicles to process partial information (only the types they are capable of) rather than requiring complete information processing. A vehicle may process first-type information alone, or combine it with second-type, third-type, fourth-type, and fifth-type information if its capabilities permit, enabling gradual adoption and compatibility across different vehicle generations
2Reliability
If high-capability information processing is mandated, then travel safety is improved, but deployment complexity increases due to requirement for advanced vehicle and infrastructure capabilities
Solution Approach 1:
The system dynamically adapts the information processing level to the actual capabilities of the vehicle and road infrastructure. The vehicle determines which types of information it can process and adjusts its decision-making accordingly, allowing gradual deployment where older vehicles continue to operate safely with basic information while newer vehicles can leverage advanced information types
Solution Approach 2:
The road infrastructure is designed to provide multiple types of information (first-type through fifth-type) that can serve both high-capability and low-capability vehicles. The same infrastructure deployment supports a range of vehicle capabilities, from basic first-type information processing to comprehensive fifth-type information processing, eliminating the need for separate infrastructure deployments
Data Source
AI summary
A first apparatus obtains first information, where the first information includes information about a road and/or information about an object on the road, and the object on the road includes a vehicle and/or a pedestrian on the road. The first apparatus determines a driving behavior of the first apparatus based on the first information and a capability of the first apparatus. Even if the capability of the first apparatus cannot be used to process complete information of the first information, the first apparatus can still determine the driving behavior of the first apparatus based on a part of information in the first information. This resolves a problem that a capability of an apparatus cannot fully match road side information. According to the technical solution, apparatuses with different capabilities can cooperate with different roads with different capabilities, to improve travel efficiency and safety.