Traffic Safety Information for Poor-Sight-Distance Queue Warning
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Solution Overview
Problem
Road sections with poor sight distance due to insufficient vertical and horizontal alignment lead to inadequate driver visibility, causing queues from signal waiting or traffic congestion, which drivers may not recognize in time, resulting in rear-end collisions.
Innovation Solution
A system that identifies sections with poor sight distance and adjacent queue information, providing comprehensive traffic safety information through a communication unit and control unit to notify or control vehicles at risk of collision.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Illumination intensity
If road sections have insufficient vertical and horizontal alignment, then the driver's sight distance is not secured, but this leads to queues from signal waiting or traffic congestion that drivers may not recognize in time, resulting in rear-end collisions
Solution Approach 1:
The system performs preliminary identification of sections with poor sight distance using road geometry data before vehicles reach these sections. Queue information is predicted in advance using machine learning models, and safety information is provided to drivers before they enter the dangerous zone, allowing them to take preventive action to avoid collisions
Solution Approach 2:
The system introduces an intermediary information processing layer that includes a control unit and communication unit. This intermediary receives road geometry data, identifies poor sight distance sections, predicts queue formation, and transmits safety information to vehicles, acting as a mediator between the road infrastructure and drivers to compensate for limited sight distance
2Reliability
If the system identifies sections with poor sight distance and provides comprehensive traffic safety information, then driver awareness and safety are improved, but the system complexity increases due to multiple units and data processing requirements
Solution Approach 1:
The control unit performs multiple functions: it selects sections with poor sight distance based on road geometry data, identifies queue information in adjacent areas, and generates traffic safety information. The communication unit handles both receiving road geometry data and transmitting safety information. This multi-functionality reduces the need for separate dedicated components for each task
Solution Approach 2:
The system uses existing road geometry data and traffic information that are already available in the environment. The machine learning model self-adjusts by learning from historical traffic patterns and queue formation data, automatically improving its prediction accuracy without requiring manual calibration or complex external intervention
Data Source
AI summary
An apparatus and method provide traffic safety information. The apparatus according to various embodiments of the present disclosure includes: a communication unit configured to communicate with at least one of a vehicle and a server; and a control unit configured to select a section with poor sight distance in a road, identify queue information in an area adjacent to the section with poor sight distance, and provide traffic safety information based on the section with poor sight distance and the queue information.