Traffic Light Timing Using GPS Vehicle Detection
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Solution Overview
Problem
Current traffic light timing systems face challenges in efficiently detecting vehicle information and managing traffic flow, leading to high maintenance costs and suboptimal traffic management.
Innovation Solution
A system and method that utilize GPS information from vehicles to determine traffic parameters such as queue length, aggregation rate, and dissipation rate, generating control parameters for traffic lights to optimize traffic flow by adjusting cycle times, green light ratios, and phase designs based on real-time traffic conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hardware components are installed underground near the intersection to detect vehicle information, then vehicle detection capability is improved, but maintenance cost increases
Solution Approach 1:
The patent introduces GPS satellite signals as an intermediary to enable vehicle detection without direct contact between detection equipment and vehicles. The GPS system mediates the information transfer, allowing the traffic control system to obtain vehicle location and speed data remotely through satellite-based positioning, thereby eliminating the need for expensive underground hardware installation.
Solution Approach 2:
The patent replaces the mechanical detection system (underground hardware components that physically detect vehicles) with a satellite-based electronic positioning system. Instead of using mechanical sensors embedded in the road infrastructure, the system uses GPS satellite signals to electronically determine vehicle positions and speeds, significantly reducing maintenance requirements.
2Productivity
If traditional traffic light timing is used, then system simplicity is maintained, but traffic flow optimization is insufficient
Solution Approach 1:
The patent transforms the static, fixed timing traffic light system into a dynamic system that continuously adjusts control parameters based on real-time traffic conditions. The control module dynamically modifies green light durations and phase timings according to live vehicle position and speed data from GPS, enabling the system to adapt to changing traffic patterns and optimize flow efficiency.
Solution Approach 2:
The patent implements a feedback mechanism where the traffic control system continuously receives real-time vehicle information from GPS satellites, processes this data to assess current traffic conditions, and adjusts traffic light timing accordingly. This closed-loop feedback system enables automatic optimization of traffic flow without requiring complex manual intervention or overly complicated hardware infrastructure.
Data Source
AI summary
The present disclosure relates to systems and methods for generating a control parameter associated with a plurality of traffic lights for a plurality of traffic-regulated sections at an intersection. The system may perform the methods to obtain a plurality of traffic parameters for the plurality of traffic-regulated sections; determine a traffic status of the intersection based on the plurality of traffic parameters; determine a target condition based on the traffic status of the intersection; and generate a control parameter associated with the plurality of traffic lights by using a target function, wherein the control parameter is configured to alter the operation of the plurality of traffic lights to optimize traffic at the intersection to reach the target condition.