Dynamic Virtual Vehicle Detection for Adaptive Traffic Signal Control
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Solution Overview
Problem
Traffic congestion is exacerbated by traffic signal control systems that operate with limited information about road and traffic conditions, leading to inefficiencies in matching signal operations with actual traffic movements, causing vehicles to wait excessively or be unable to proceed due to inadequate green light durations or downstream congestion.
Innovation Solution
A dynamic virtual vehicle detection system that uses mobile devices to provide location and identity information to a traffic management system, which determines a dynamic approach and sends a call signal to the traffic signal controller to optimize traffic signal timing based on speed, time of day, and location, ensuring vehicles receive a green light when approaching an intersection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traffic signal control systems operate with limited information about road and traffic conditions, then the system complexity is reduced, but the ability to accurately match traffic signal operations with actual traffic movements deteriorates
Solution Approach 1:
The system uses mobile devices that drivers already possess to perform multiple functions: location tracking, speed monitoring, and traffic signal coordination. This eliminates the need for dedicated detection infrastructure while achieving precise traffic matching through the mobile device's existing sensors and communication capabilities
Solution Approach 2:
The system leverages the mobile device's own location and speed data to determine when the vehicle is in the dynamic approach, allowing the vehicle itself to provide the detection information rather than requiring external detection infrastructure
2Productivity
If the traffic signal remains green to clear the waiting queue, then the throughput is improved, but congestion occurs when the road ahead is already congested
Solution Approach 1:
The system sends a call signal to the traffic signal controller when the mobile device is detected in the dynamic approach, allowing the green light to be extended in advance to clear the queue before the vehicle arrives, preventing downstream congestion by coordinating the signal timing with the vehicle's actual arrival
Solution Approach 2:
The system uses real-time location and speed data from the mobile device to provide feedback to the traffic signal controller, enabling dynamic adjustment of green light duration based on actual traffic conditions and queue status
3Loss of time
If the green light duration is extended to allow all vehicles in the queue to pass, then the waiting time is reduced, but energy consumption increases
Solution Approach 1:
The system dynamically adjusts the green light duration based on the mobile device's real-time location and speed, extending the green light only as long as necessary for the approaching vehicle to clear the intersection, thereby reducing waiting time while minimizing unnecessary energy consumption from extended green phases
Data Source
AI summary
A traffic detection device for sending a call signal to a traffic signal controller, the traffic detection device having a receiver to receive information sent from a mobile device, the information including identity information and/or location information of the mobile device, a traffic control device (TCD) interface to connect the traffic detection device to the traffic signal controller, and a processor to define a dynamic approach based on one or more of the identity information, speed limit, time of day, or speed of the mobile device. The device may determine whether to send a calf signal to the traffic signal controller via the TCD interface to prompt the traffic signal controller, when the processor determines that the mobile device is in the dynamic approach.