RFID Vehicle Detection Nodes for Adaptive Traffic Signal Timing
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Solution Overview
Problem
Conventional traffic control methods at road intersections are unreliable due to error-prone vehicle detection from footage, especially in crowded conditions and adverse weather, and lack automatic adaptation to changing traffic patterns, leading to inefficiencies in traffic flow coordination.
Innovation Solution
Implementing radio-frequency identification (RFID) tags on vehicles and detection nodes at intersections to accurately identify and track vehicles, allowing adaptive signal timing based on real-time traffic data, with passive or active RFID-tags used for vehicle identification and detection nodes connected to computing nodes controlling traffic lights.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If vehicle detection is performed using footage analysis, then the system can identify vehicles approaching the intersection, but the detection reliability is low due to errors in recognizing vehicles from various angles and conditions
Solution Approach 1:
The patent introduces RFID tags as an intermediary element between the vehicle and the detection system. Instead of directly analyzing vehicle footage, the system detects RFID signals emitted by tags on vehicles. This intermediary approach eliminates the problems of visual recognition errors while maintaining vehicle identification capability.
Solution Approach 2:
The patent replaces the mechanical/optical system of footage-based vehicle detection with an electromagnetic field-based RFID detection system. This substitution eliminates the limitations of visual analysis (angle dependency, weather conditions, lighting) by using radio frequency signals that can be reliably detected regardless of environmental conditions.
2Adaptability or versatility
If the traffic control system uses conventional footage-based detection, then it can monitor vehicle presence, but it cannot automatically adapt to changing traffic patterns because it cannot register vehicles that have crossed the intersection
Solution Approach 1:
The patent implements a feedback mechanism where RFID detection nodes continuously monitor vehicle presence and movement. When a vehicle crosses the intersection, the system receives feedback through continued RFID signal detection. This feedback loop enables the system to automatically adapt signal timing based on real-time traffic flow information, eliminating the need for manual intervention.
Solution Approach 2:
The patent ensures continuous detection of vehicles throughout their movement through the intersection using multiple RFID detection nodes positioned at different locations. This continuous monitoring provides uninterrupted information about vehicle crossing, enabling the system to maintain accurate traffic flow data and adapt continuously to changing conditions.
3Reliability
If multiple detection nodes are deployed to improve vehicle detection reliability, then the system can track vehicles more accurately, but the device complexity increases
Solution Approach 1:
The patent designs the RFID detection nodes to perform multiple functions: detecting vehicle presence, tracking vehicle movement, identifying vehicle type, and providing timing information. By making each detection node multi-functional, the system achieves high reliability through multiple nodes without proportionally increasing complexity, as each node serves several purposes simultaneously.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enhances the reliability and effectiveness of traffic control by accurately detecting and identifying vehicles, enabling automatic adaptation to traffic changes, improving traffic flow and reducing congestion across intersecting directions.
Implementation Method 1
mounting vehicle detection nodes probing the surrounding area using radio-frequency signals. In their turn, vehicles should be equipped with nodes, or tags, allowing their identification. When a vehicle equipped with an identification tag enters the monitored area, the tag generates a response containing the codeword with identification data of the vehicle
Data Source
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AI summary
The present invention relates to traffic control and, in particular, to traffic control at road intersections using traffic lights. A method of traffic control at road intersections comprising using of traffic lights, as well as detection and identification of vehicles approaching an intersection. To detect and identify a vehicle crossing the pre-set boundaries, we suggest mounting vehicle detection nodes probing the surrounding area using radio-frequency signals. In their turn, vehicles should be equipped with nodes, or tags, allowing their identification. When a vehicle equipped with an identification tag enters the monitored area, the tag generates a response containing the codeword with identification data of the vehicle, which is received and decoded by detection nodes. The duration of the allowing signal is determined according to the time the vehicles, that have crossed the farther boundary during the last signal switching sequence, spent to cross the nearer boundary, and should not be shorter than that period.