Traffic Signal Timing Using Vehicle Telemetry to Reduce Gridlock
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Solution Overview
Problem
Current traffic signal systems, particularly fixed-time signals, struggle to adapt to fluctuating traffic demands, leading to deadlock and gridlock situations without increasing complexity or requiring standardization, while maintaining or improving vehicle traffic flow.
Innovation Solution
A system utilizing wirelessly connected devices (WCDs), traffic operations centers (TOCs), and control modules that operate in a closed loop to continuously process real-time telemetry data, optimize signal timing through cycle, time-of-day, and green split adjustments, and verify signal plans to enhance throughput and reduce delays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fixed-time traffic signals are used, then device complexity is reduced, but traffic throughput decreases and delays increase due to inability to adapt to fluctuating traffic demands
Solution Approach 1:
The system enables traffic signals to automatically adjust their timing based on real-time traffic data collected from wirelessly connected devices. The control module continuously receives telemetry data, processes it to determine trajectories and traffic states, and generates optimized signal plans without requiring manual intervention or complex infrastructure upgrades, allowing the system to self-optimize signal timing
Solution Approach 2:
The system implements a closed-loop feedback mechanism where traffic signal performance is continuously monitored using directly measured telemetry data from vehicles. The control module uses this feedback to evaluate current signal plan effectiveness and dynamically adjust timing parameters to optimize throughput and reduce delays in real-time
2Adaptability or versatility
If vehicle detectors are installed to accommodate varying traffic demands, then traffic flow adaptability improves, but device complexity and maintenance requirements increase
Solution Approach 1:
The system uses wirelessly connected devices (smartphones, telematics units) as intermediaries to provide traffic data. Instead of installing physical detectors at intersections, the system leverages existing wireless devices in vehicles to collect telemetry data, process trajectories, and determine traffic states, thereby achieving adaptability without adding complex detection infrastructure
Solution Approach 2:
The system creates a virtual representation of traffic conditions by processing telemetry data from wireless devices into trajectory information and traffic state estimates. This digital copy of physical traffic flow allows the control module to optimize signal timing based on accurate traffic representations without requiring physical sensors at each intersection
3Productivity
If real-time telemetry data processing is implemented, then traffic signal optimization improves, but data processing complexity increases
Solution Approach 1:
The control module segments the data processing task into distinct functional components: receiving raw telemetry data, processing data to determine trajectories, evaluating traffic signal performance, and generating optimized signal plans. This modular segmentation simplifies the overall processing complexity by breaking down the complex task into manageable, specialized sub-processes
Data Source
AI summary
A system for optimizing traffic signal timing using telemetry includes: wirelessly connected devices (WCDs), traffic operations centers (TOCs) controlling one or more traffic signals, and control modules storing and continuously executing control logic in a closed loop. The control logic continuously receives real-time WCD telemetry data and performs real-time processing of the telemetry data to match the telemetry data to physical locations. Processed telemetry data is aggregated to determine WCD trajectories. The system selectively performs time-of-day (TOD), offset, and green split optimizations, and receives the WCD trajectories and outputs of the TOD, offset, and green split optimization within an API. The system generates an optimized signal plan from data from the API, and verifies the optimized signal plan. The optimized signal plan is received by the TOCs and selectively uploaded to the traffic signals. The optimized signal plan increases throughput of traffic by decreasing total delays, and quantities of stops.