Connected Vehicle Queue Length Detection via BSM Segmentation
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Solution Overview
Problem
In connected vehicle infrastructure environments, vehicles approaching exits may not anticipate the end of a queue, leading to hard braking or lane changes, potentially causing accidents due to lack of real-time queue length detection.
Innovation Solution
A system and method using a vehicle traffic data evaluation module to receive and process basic safety messages from onboard units, creating a geometric representation of vehicle queues, segmenting them, assigning speed values, and determining queue lengths to provide real-time detection and warnings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicles rely on traditional traffic monitoring systems, then infrastructure cost is reduced, but real-time queue length detection capability is insufficient leading to safety issues
Solution Approach 1:
The patent replaces traditional mechanical/optical traffic monitoring infrastructure with a wireless communication-based system. Vehicles equipped with onboard units transmit basic safety messages containing position and speed data to roadside units, which process this information to detect queue lengths. This substitution eliminates the need for complex physical detection infrastructure while achieving real-time, accurate queue length measurement through data communication and geometric representation analysis.
2Measurement precision
If a geometric representation system with multiple segments is used to detect queue length, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The patent divides the vehicle queue into multiple geometric segments along the roadway. Each segment represents a portion of the queue and is assigned a speed value based on vehicles detected within it. By segmenting the queue, the system achieves precise length measurement through counting segments rather than relying on a single complex measurement point. The segmentation approach simplifies the measurement model while improving precision.
Solution Approach 2:
The patent creates a geometric representation (a simplified model) of the actual vehicle queue based on basic safety message data. This geometric copy contains essential information (position, speed, segment assignment) needed for queue length detection without requiring complex processing of all raw vehicle data. The geometric representation serves as an intermediate model that reduces data complexity while preserving measurement accuracy.
Data Source
AI summary
A system for determining a vehicle queue length in a connected vehicle infrastructure environment includes a vehicle traffic data evaluation module with a processor configured via executable instructions to receive vehicle traffic data of multiple vehicles, the vehicle traffic data comprising basic safety messages, create a geometric representation of a vehicle queue, the vehicle queue comprising one or more segments, each segment comprising a set length, extract data of speed, location, date and time from the basic safety messages, aggregate extracted data with the geometric representation of the vehicle queue, assign a speed value of a basic safety message of a vehicle to a segment when the vehicle is identified to be located within the segment of the vehicle queue, detect a sequence of segments comprising assigned speed values, and determine a vehicle queue length based on the set length of each segment.