Dynamic Traffic Sign Control via Vehicular Network
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Solution Overview
Problem
Current traffic sign control methods are inflexible and inefficient, leading to lower passing rates, queue starvation, and reduced traffic volume due to inadequate handling of mixed traffic flows, particularly at intersections with shared lanes and varying vehicle movements.
Innovation Solution
A vehicular network-based control method that calculates passing rates and determines signal phases based on driving parameters, such as acceleration speed, distance, and turning messages, to dynamically adjust traffic signals and prioritize vehicle movements, optimizing passing rates and reducing idling times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If constant period control is used for traffic signs, then control simplicity is maintained, but adaptability to real-time traffic flow is lost
Solution Approach 1:
The traffic sign control system transitions from static constant-period control to dynamic control that adapts to real-time traffic conditions. The system uses detectors to continuously monitor traffic flow and adjusts signal timing accordingly, making the control parameters variable rather than fixed.
Solution Approach 2:
The system implements feedback control by using detectors to monitor actual traffic flow conditions and using this information to adjust signal timing. The control system receives feedback about queue lengths and traffic volumes, then modifies its operation to optimize traffic flow based on current conditions.
2Measurement precision
If detectors are installed in every section for adjustable control, then traffic flow detection capability is improved, but hardware cost increases
Solution Approach 1:
The detector system is designed to serve multiple functions: detecting traffic flow volume, determining queue lengths, identifying vehicle types, and providing data for signal timing optimization. This multi-functionality reduces the need for separate specialized devices for each measurement task.
Solution Approach 2:
The system combines detection, processing, and control functions into an integrated traffic management system. By merging these functions and using shared infrastructure, the system reduces overall hardware requirements while maintaining comprehensive traffic monitoring and control capabilities.
3Productivity
If shared right turn lanes are used, then lane utilization is improved, but traffic flow efficiency decreases due to mixing straight and turning vehicles
Solution Approach 1:
The system segments traffic flow by movement type (straight, left turn, right turn) and provides dedicated signal phases for each segment. By separating these movements in time through signal control, the system eliminates conflicts between straight and turning vehicles while maintaining high lane utilization.
Solution Approach 2:
The signal timing is dynamically adjusted based on real-time detection of traffic flow patterns. When turning traffic is detected, the system extends green phases for turning lanes and adjusts straight-through phases accordingly, optimizing flow efficiency for current conditions rather than using fixed timing.
Data Source
AI summary
The present invention provides a control method of traffic sign by utilizing vehicular network which can be applied to an intersection. The method comprises: a passing rate calculating step, calculating a passing rate according to a driving parameter; a vehicular movement type determining step, determining a vehicular movement type of a lane at the intersection according to the driving parameter; and a signal determining step, determining next signal according to the passing rate and the vehicular movement type.