V2X Passing Assist System for Intersection Safety
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Solution Overview
Problem
Drivers face challenges in determining the feasibility of passing maneuvers, especially at intersections, due to limited visibility and information about surrounding conditions, which can lead to unsafe overtaking decisions.
Innovation Solution
A vehicle-to-everything (V2X) communication system with a user interface and transceivers in a host vehicle that assesses driving conditions, including external objects and infrastructure, to determine passing maneuver feasibility and generate driver assist messages, providing real-time guidance on the safety of the maneuver.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a driver performs a passing maneuver at an intersection, then the driving efficiency is improved, but the safety is worsened due to limited visibility and information about surrounding conditions
Solution Approach 1:
The system performs preliminary assessment of passing maneuver feasibility by evaluating driving conditions, detecting external objects, and analyzing intersection characteristics before the driver executes the maneuver. This advance evaluation provides safety information in advance, allowing the driver to make informed decisions without compromising driving efficiency.
Solution Approach 2:
The system acts as an intermediary between the driver and the complex environment by processing multiple data sources (sensor data, map data, vehicle state) and presenting simplified feasibility assessments. This intermediary function translates complex environmental information into actionable safety guidance, resolving the contradiction between efficient maneuvering and safe decision-making.
2Reliability
If the system provides comprehensive information about driving conditions and passing maneuver feasibility, then the safety is improved, but the device complexity increases
Solution Approach 1:
The system employs a multi-functional processor that handles diverse tasks including sensor data processing, map data analysis, object detection, feasibility assessment, and user interface generation. This universal processor consolidates multiple functions into a single component, improving safety through comprehensive analysis while minimizing the increase in device complexity through functional integration.
Solution Approach 2:
The system utilizes existing vehicle infrastructure (sensors, processors, communication modules) and external resources (map data, infrastructure communication) to assess passing feasibility. By leveraging already-present components and free external data sources, the system provides comprehensive safety information without requiring proportionally complex additional hardware.
3Measurement precision
If the system uses V2X communication to collect information about surroundings, then the measurement precision is improved, but the loss of time for data processing increases
Solution Approach 1:
The system performs preliminary processing and filtering of V2X communication data to extract only the most relevant information for passing maneuver assessment. By pre-processing incoming data streams and prioritizing critical information, the system achieves high measurement precision while minimizing data processing time delays.
Solution Approach 2:
The system selectively processes only the essential portions of V2X data necessary for passing feasibility determination, rather than analyzing all available information. This partial processing approach maintains measurement precision for critical parameters while significantly reducing overall data processing time.
Data Source
AI summary
A vehicle-to-everything (V2X) communication system is provided with a user interface for displaying content within a host vehicle and at least one transceiver to receive input indicative of the host vehicle turning at an upcoming intersection, and input indicative of driving conditions within a region between a remote vehicle and the upcoming intersection. A processor is programmed to determine a passing maneuver feasibility based on the driving conditions in response to the host vehicle initiating a passing maneuver relative to the remote vehicle, and to generate a driver assist message on the user interface based on the passing maneuver feasibility.