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Related Concept Videos

Control Systems: Applications01:25

Control Systems: Applications

664
Electrical engineering plays a pivotal role in our daily lives, with control systems at the heart of many applications, from home appliances to sophisticated space shuttles. Control systems manage and regulate the behavior of devices and processes, ensuring they function safely, correctly, and efficiently.
In modern vehicles, control systems manage various functions to enhance performance and safety. The steering wheel and accelerator are primary inputs in a car's control system. The...
664
Control Systems01:10

Control Systems

1.2K
Control systems are everywhere in contemporary society, influencing diverse applications from aerospace to automated manufacturing. These systems can be found naturally within biological processes, such as blood sugar regulation and heart rate adjustment in response to stress, as well as in man-made systems like elevators and automated vehicles. A control system is essentially a network of subsystems and processes that collaboratively convert specific inputs into desired outputs.
At the heart...
1.2K
Control System Problem01:21

Control System Problem

154
In an open-loop system, such as a basic thermostat, the poles of the transfer function influence the system's response but do not determine its stability. However, when feedback is introduced to form a closed-loop system, such as an advanced thermostat that adjusts heating based on room temperature, stability is governed by the new poles of the closed-loop transfer function.
When forming a closed-loop system, issues can arise if the poles cross into the unstable region, leading to potential...
154
Feedback control systems01:26

Feedback control systems

352
Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
Linear feedback systems are theoretical models that simplify analysis and design. These systems operate under the principle that their output is directly proportional to their input within certain ranges. For instance, an amplifier in a control system behaves linearly as long as the input signal remains within a specific range. However, most physical systems exhibit inherent nonlinearity...
352
PD Controller: Design01:26

PD Controller: Design

293
In automotive engineering, car suspension systems often employ Proportional Derivative (PD) controllers to enhance performance. PD controllers are utilized to adjust the damping force in response to road conditions. A controller, acting as an amplifier with a constant gain, demonstrates proportional control, with output directly mirroring input.
Designing a continuous-data controller requires selecting and linking components like adders and integrators, which are fundamental in Proportional,...
293
Open and closed-loop control systems01:17

Open and closed-loop control systems

828
Control systems are foundational elements in automation and engineering. They are broadly categorized into open-loop and closed-loop systems. These classifications hinge on the presence or absence of feedback mechanisms, significantly influencing the system's performance, complexity, and application.
An open-loop control system operates without feedback from the output. It consists of two primary elements: the controller and the controlled process. The controller receives an input signal...
828

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Cyber-Physical System for Smart Traffic Light Control.

Siddhesh Deshpande1, Sheng-Jen Hsieh1

  • 1Engineering Technology and Industrial Distribution Department, Texas A&M University, College Station, TX 77843, USA.

Sensors (Basel, Switzerland)
|June 10, 2023
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This study introduces a smart traffic light system using cameras and machine learning to reduce vehicle and pedestrian delays. The dynamic traffic interval technique significantly cuts down waiting times at intersections.

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cyber-physical systemmachine learningsmart traffic lights

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Area of Science:

  • Intelligent Transportation Systems
  • Cyber-Physical Systems
  • Machine Learning Applications

Background:

  • Existing smart traffic control systems often overlook simultaneous reduction of vehicle and pedestrian delays.
  • Optimizing traffic flow requires dynamic adaptation to real-time traffic conditions.

Purpose of the Study:

  • To propose a cyber-physical system for smart traffic light control that minimizes both vehicle and pedestrian delays.
  • To implement a dynamic traffic interval technique for adaptive traffic signal management.

Main Methods:

  • Utilized traffic detection cameras, machine learning algorithms (CNN, ANN, SVM), and ladder logic for control.
  • Developed a dynamic traffic interval technique categorizing traffic into low, medium, high, and very high volumes.
  • Validated the system using the Simulation of Urban Mobility (SUMO) platform.

Main Results:

  • The dynamic traffic interval technique demonstrated significant efficiency improvements.
  • Achieved a 12% to 27% reduction in vehicle waiting times.
  • Achieved a 9% to 23% reduction in pedestrian waiting times compared to traditional methods.

Conclusions:

  • The proposed cyber-physical system effectively reduces traffic delays for both vehicles and pedestrians.
  • Dynamic traffic interval control is superior to fixed-time and semi-dynamic methods for intersection management.