scholarly journals IOT Based Vehicle Speed Control Automatically in Restricted Areas using RFID

2018 ◽  
Vol 7 (3.31) ◽  
pp. 72
Author(s):  
K N. V. Satyanarayana ◽  
G Yaswanthini ◽  
P L. Kartheeka ◽  
N Rajkumar
Keyword(s):  
Speed Control ◽  
Vehicle Speed ◽  
Road Accidents ◽  
Rf Transmitter ◽  
School Zones

Now-a-days road accidents are occurring frequently, due to rash driving of people.  The most unfortunate thing is that by making small mistakes during driving, we lost our valuable future. If we observe, most of the accidents will occur at school zones, parks, hospitals, hill areas and highways. Even a police also can’t monitor all such kind of accidents. So in order to reduce the number of accidents and to control the vehicle speed the highway department has placed the signboards. But it is difficult to observe such kind of signboards and hence accidents will occur. This paper will provide a new way for controlling the speed of the vehicle without harming others. In this paper, we are using RFID module to limit vehicle speed. The RF transmitter will be placed at first and last of the restricted areas and RFID receiver should be placed inside the vehicle. The vehicle speed was obtained by speedometer which is available in vehicle. And that speed is compared and monitored by the controller. If the vehicle speed exceeds the limited speed, It automatically controls the speed of the vehicle according to that particular zone. Hence, automatically the speed reduced. If there is any emergency, a switch will be available in the vehicle. When the switch is ON, the speed is not controlled automatically. The vehicle which is switched ON, that vehicle number was stored in cloud. Here the main purpose of cloud is it loads the route map of the vehicle.  

scholarly journals Drivers' Real-Time Drowsiness Identification Using Facial Features and Automatic Vehicle Speed Control

2021 ◽  
Vol 3 (1) ◽  
pp. 44-52
Author(s):  
Natraj N.A ◽  
Bhavani S
Keyword(s):  
Real Time ◽  
Image Recognition ◽  
Warning System ◽  
Speed Control ◽  
Facial Features ◽  
Vehicle Speed ◽  
Road Accidents ◽  
The Road ◽  
Driver Drowsiness ◽  
Road Crash

The road crash is one of the significant problems that is of great concern in today's world. Road accidents are often caused by drivers' carelessness and negligence. The drowsy condition of the drivers, which occurs due to overwork, fatigue, and many other factors, is one of those causes. It is therefore most critical to establish systems that can detect the driver's drowsy state and provide the drivers with the appropriate warning system. In addition to the automatic speed control of the car, this system thus supports drivers in incidents by providing warnings in advance. This means that road collisions that are harmful to living lives are minimised. This is achieved by using the technique of image recognition, where driver drowsiness is observed, and using this method, simultaneous warning and speed monitoring of the vehicle is carried out.

scholarly journals Speed Management Strategy: Designing an IoT-Based Electric Vehicle Speed Control Monitoring System

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6670
Author(s):  
Gatera Antoine ◽  
Chomora Mikeka ◽  
Gaurav Bajpai ◽  
Kayalvizhi Jayavel
Keyword(s):  
Monitoring System ◽  
Traffic Accidents ◽  
Pulse Width Modulation ◽  
Road Traffic ◽  
Speed Control ◽  
Oxide Semiconductor ◽  
Coefficient Of Determination ◽  
Vehicle Speed ◽  
Road Accidents ◽  
Public Health Burden

Road accidents represent the greatest public health burden in the world. Road traffic accidents have been on the rise in Rwanda for several years. Speed has been identified as a core factor in these road accidents. Therefore, understanding road accidents caused by excessive speeding is critical for road safety planning. In this paper, input and out pulse width modulation (PWM) was used to command the metal–oxide–semiconductor field-effect transistor (MOSFET) controller which supplied voltage to the motor. A structural speed control and Internet of Things (IoT)-based online monitoring system was developed to monitor vehicle data in a continuous manner. Two modeling techniques, multiple linear regression (MLR) and random forest (RF) models, were evaluated to find the best model to estimate the required voltage to be supplied to the motors in a particular zone. The built models were evaluated based upon the coefficient of determination R2. The RF performs better than the MLR as it reveals a higher R2 value and it is found to be 98.8%. Based on the results, the proposed method was proven to significantly reduce the supplied voltage to the motor and consequently increase safety.

Speed regulation control of tractors’ new dual-flow transmission system based on slip rate resistance classification

2021 ◽  
pp. 095440702110105
Author(s):  
Guang Xia ◽  
Yan Xia ◽  
Xiwen Tang ◽  
Linfeng Zhao ◽  
Baoqun Sun
Keyword(s):  
Control Strategy ◽  
Control Algorithm ◽  
Production Efficiency ◽  
Sliding Mode ◽  
Slip Rate ◽  
Speed Control ◽  
Working Environment ◽  
Vehicle Speed ◽  
Speed Change ◽  
Simulation Results

Fluctuations in operation resistance during the operating process lead to reduced efficiency in tractor production. To address this problem, the project team independently developed and designed a new type of hydraulic mechanical continuously variable transmission (HMCVT). Based on introducing the mechanical structure and transmission principle of the HMCVT system, the priority of slip rate control and vehicle speed control is determined by classifying the slip rate. In the process of vehicle speed control, the driving mode of HMCVT system suitable for the current resistance state is determined by classifying the operation resistance. The speed change rule under HMT and HST modes is formulated with the goal of the highest production efficiency, and the displacement ratio adjustment surfaces under HMT and HST modes are determined. A sliding mode control algorithm based on feedforward compensation is proposed to address the problem that the oil pressure fluctuation has influences on the adjustment accuracy of hydraulic pump displacement. The simulation results of Simulink show that this algorithm can not only accurately follow the expected signal changes, but has better tracking stability than traditional PID control algorithm. The HMCVT system and speed control strategy models were built, and simulation results show that the speed control strategy can restrict the slip rate of driving wheels within the allowable range when load or road conditions change. When the tractor speed is lower than the lower limit of the high-efficiency speed range, the speed change law formulated in this paper can improve the tractor speed faster than the traditional rule, and effectively ensure the production efficiency. The research results are of great significance for improving tractor’s adaptability to complex and changeable working environment and promoting agricultural production efficiency.

scholarly journals Vehicle Speed Control and Accident Prevention System in Smog Zone

2021 ◽  
Vol 1916 (1) ◽  
pp. 012093
Author(s):  
M Kathirvelu ◽  
A C Nithia shree ◽  
M Manasa ◽  
L Naveen ◽  
N Karthi
Keyword(s):  
Speed Control ◽  
Accident Prevention ◽  
Vehicle Speed ◽  
Prevention System

An Analysis of Commercial Vehicle Speed Control Concepts

1982 ◽  
Author(s):  
John F. Weiss ◽  
Claude M. Ligon ◽  
Claude Travis ◽  
Henry Seiff
Keyword(s):  
Commercial Vehicle ◽  
Speed Control ◽  
Vehicle Speed

Vehicle Speed Control System Simulation

2021 ◽  
Author(s):  
Markian Nakonechnyi ◽  
Oleksandr Viter ◽  
Orest Ivakhiv ◽  
Roman Velgan ◽  
Yuriy Hirniak ◽  
...  
Keyword(s):  
Control System ◽  
System Simulation ◽  
Speed Control ◽  
Vehicle Speed ◽  
Speed Control System

scholarly journals A Speed Control Method for Underwater Vehicle under Hydraulic Flexible Traction

2015 ◽  
Vol 2015 ◽  
pp. 1-16
Author(s):  
Yin Zhao ◽  
Ying-kai Xia ◽  
Ying Chen ◽  
Guo-Hua Xu
Keyword(s):  
Control System ◽  
Control Theory ◽  
Control Method ◽  
Sliding Mode ◽  
Variable Structure ◽  
Speed Control ◽  
Underwater Vehicle ◽  
Vehicle Speed ◽  
Sliding Mode Variable Structure ◽  
Traction System

Underwater vehicle speed control methodology method is the focus of research in this study. Driven by a hydraulic flexible traction system, the underwater vehicle advances steadily on underwater guide rails, simulating an underwater environment for the carried device. Considering the influence of steel rope viscoelasticity and the control system traction structure feature, a mathematical model of the underwater vehicle driven by hydraulic flexible traction system is established. A speed control strategy is then proposed based on the sliding mode variable structure of fuzzy reaching law, according to nonlinearity and external variable load of the vehicle speed control system. Sliding mode variable structure control theory for the nonlinear system allows an improved control effect for movements in “sliding mode” when compared with conventional control. The fuzzy control theory is also introduced, weakening output chattering caused by the sliding mode control switchover while producing high output stability. Matlab mathematical simulation and practical test verification indicate the speed control method as effective in obtaining accurate control results, thus inferring strong practical significance for engineering applications.

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