Adaptive Traffic Light Phase Control for Dynamic Road Networks
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Solution Overview
Problem
Existing traffic light control strategies, such as fixed-cycle timing methods, are inadequate in managing complex urban road networks and dynamic traffic flows, leading to suboptimal traffic management.
Innovation Solution
A control method for traffic lights that acquires real-time road condition status information, selects the next hop phase from preset phases based on this information, and updates the traffic light phase accordingly, thereby optimizing traffic flow.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If fixed-cycle timing methods are used for traffic light control, then the control strategy is simple and stable, but the traffic management efficiency is suboptimal and cannot adapt to dynamic traffic flows
Solution Approach 1:
The patent implements dynamic traffic light control by transitioning from fixed-cycle timing to real-time adaptive phase selection. The system dynamically adjusts traffic light phases based on current road conditions, vehicle queue lengths, and traffic flow patterns, allowing the control strategy to adapt continuously to changing traffic demands rather than following predetermined fixed cycles
Solution Approach 2:
The system incorporates feedback mechanisms by continuously monitoring road condition status information and using this data to select optimal next-hop phases. The control strategy processes real-time traffic information and adjusts phase sequences accordingly, creating a closed-loop system that responds to actual traffic conditions rather than operating open-loop with fixed timing
2Loss of time
If real-time road condition monitoring and dynamic phase selection are implemented, then vehicle waiting times and queue lengths are reduced, but the system complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-defining multiple preset phases and phase sequences that cover various traffic scenarios. Instead of computing optimal control strategies in real-time from scratch, the system has pre-prepared phase configurations that can be quickly selected based on current conditions, reducing computational overhead while maintaining adaptive capabilities
Solution Approach 2:
The control system changes parameters by selecting from predefined phase sequences based on road condition status information. The system adjusts traffic light control by transitioning between different phase configurations (parameter sets) rather than continuously optimizing timing parameters, simplifying the control mechanism while achieving adaptive traffic management
Data Source
AI summary
A control method and apparatus for a traffic light in a road network, and an electronic device and a computer-readable storage medium. A road network comprises a plurality of road sections and an intersection, which is formed by the plurality of road sections. A traffic light is used for regulating and controlling traffic at the intersection. The control method comprises: acquiring real-time road condition state information of a plurality of road sections in a road network, which are connected to an intersection (S10); according to the road condition state information, selecting a next-hop phase of a traffic light from a plurality of preset phases of the traffic light (S20); and controlling a phase of the traffic light to be updated to the next-hop phase (S30). By means of the method, a phase is intelligently and dynamically selected according to a real-time road condition, such that the waiting time of a vehicle, the queuing length of the vehicle, etc., are reduced to the greatest extent, thereby achieving the goal of optimizing traffic.


