Traffic Signal Control via Road Pressure Sensor Feedback
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Solution Overview
Problem
Conventional traffic signal control systems are inadequate in preventing traffic accidents, as they do not sufficiently utilize real-time vehicle data to adjust signal timings effectively.
Innovation Solution
A control server and system that utilize pressure sensors to detect abrupt braking events and historical accident data to generate control signals for traffic signals, adjusting signal timings based on pressure information and accident occurrence rates to mitigate potential accidents.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional traffic signal control systems use basic vehicle count and wait time information, then the system is simple to operate, but the system cannot effectively prevent traffic accidents
Solution Approach 1:
The system installs pressure sensors on the road surface to detect vehicle presence and braking behavior in real-time. The control server continuously receives pressure information, analyzes abrupt braking events, and adjusts traffic signal timings based on this feedback loop. This real-time feedback mechanism enables the system to respond dynamically to actual traffic conditions, significantly improving accident prevention capability while maintaining operational simplicity through automated control.
Solution Approach 2:
The patent replaces conventional mechanical detection methods (such as inductive loops or optical sensors) with pressure sensors that directly measure force applied to the road surface. This substitution enables more accurate detection of vehicle braking behavior by measuring the actual pressure exerted during abrupt braking events, thereby improving the reliability of accident prevention without significantly increasing system complexity.
2Reliability
If the system uses pressure sensors to detect abrupt braking events, then traffic accident prevention capability is improved, but measurement precision requirements increase
Solution Approach 1:
The system changes the measurement parameter from general vehicle presence detection to specific pressure threshold detection. By setting a predetermined threshold value for abrupt braking pressure, the system can reliably distinguish between normal braking and abrupt braking events. The control server analyzes pressure information against this threshold to identify abrupt braking, improving detection accuracy while managing measurement precision requirements through parameter optimization.
Solution Approach 2:
The system performs preliminary analysis of pressure patterns by continuously monitoring and storing pressure information before accidents occur. The control server maintains a record of pressure data and abrupt braking events, enabling proactive identification of high-risk locations and timing adjustments. This preliminary action allows the system to prepare appropriate control signals in advance, improving accident prevention capability while using manageable pressure measurement precision.
3Reliability
If traffic signal timings are dynamically adjusted based on real-time pressure information, then road safety is enhanced, but the system requires continuous data processing which increases energy consumption
Solution Approach 1:
The control server processes pressure information periodically rather than continuously, analyzing accumulated pressure data at defined intervals to determine whether abrupt braking events have occurred. This periodic processing approach enables the system to maintain high road safety through continuous monitoring while reducing energy consumption by avoiding constant data processing. The server generates control signals based on periodic analysis of pressure patterns and abrupt braking detection.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system effectively reduces the likelihood of traffic accidents by dynamically adjusting traffic signal timings in response to real-time vehicle behavior and accident-prone areas, enhancing road safety and traffic flow.
Implementation Method 1
pressure information, which includes a value representing pressure received from a vehicle running on the road R
Data Source
AI summary
Provided are a control server and a control system both capable of preventing traffic accidents more effectively. The control server is configured to control multiple traffic signals installed on a road, and includes: a pressure information obtainer configured to obtain pressure information which is outputted from a pressure sensor installed at a stop position on the road corresponding to each of the multiple traffic signals, and which includes a value representing pressure received from a vehicle running on the road; an abrupt braking information obtainer configured to, based on the pressure information, obtain abrupt braking information on an abrupt braking operation performed by the vehicle running on the road; and a traffic signal controller configured to, based on the abrupt braking information, generate a control signal for controlling the multiple traffic signals.