Onboard Equipment Predictive Hazard Detection
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Solution Overview
Problem
Existing collision avoidance systems for ground transportation entities lack the ability to effectively predict and prevent dangerous situations involving non-connected entities, particularly in scenarios where these entities are occluded or lack connectivity.
Innovation Solution
The implementation of an onboard equipment system for ground transportation entities, which includes a receiver for environmental sensor information, a processor, and memory for generating and sending safety message information. This system uses predictive models to anticipate dangerous situations and sends virtual safety messages on behalf of non-connected entities to connected entities, ensuring awareness and enabling collision avoidance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Difficulty of detecting and measuring
If collision avoidance systems use sensor information from connected entities only, then system complexity is reduced, but detection capability deteriorates because non-connected and occluded entities cannot be detected
Solution Approach 1:
The system introduces an intermediary infrastructure component (roadside equipment or server) that receives sensor data from multiple sources including non-connected entities, processes this information, and generates virtual safety messages. This intermediary acts as a mediator between non-connected entities and connected entities, enabling detection capability expansion without directly increasing the complexity of individual vehicle systems.
Solution Approach 2:
The system creates virtual copies of safety messages for non-connected entities. By generating virtual basic safety messages and virtual personal safety messages that represent the state and intent of non-connected entities, the system enables connected entities to perceive and respond to hazards from entities that cannot directly communicate, effectively copying the safety information function without requiring physical connectivity.
2Reliability
If the system generates virtual safety messages for non-connected entities, then collision avoidance capability is improved, but information processing complexity increases
Solution Approach 1:
The information processing system is segmented into distinct functional modules: a receiver module for obtaining sensor information, a message generation module for creating virtual safety messages, and a transmitter module for sending messages. This segmentation allows each module to handle specific tasks independently, reducing the information processing burden on individual components while maintaining overall system reliability for collision avoidance.
3Reliability
If the system sends safety messages to multiple entities including non-connected entities, then safety coverage is improved, but communication overhead increases
Solution Approach 1:
The infrastructure-based message generation system serves multiple functions simultaneously: it processes sensor data from diverse sources (connected and non-connected entities), generates appropriate virtual safety messages, and distributes them to relevant connected entities. This multi-functionality allows the system to achieve comprehensive safety coverage without requiring separate dedicated systems for each function, thereby reducing overall communication overhead.
Data Source
AI summary
Among other things, an equipment for use on board a first ground transportation entity has (a) a receiver for information generated by a sensor of the environment of the first ground transportation entity, (b) a processor, and (c) a memory storing instructions executable by the processor to generate and send safety message information to a second ground transportation entity based on the information generated by the sensor.