Speed Management Strategy: Designing an IoT-Based Electric Vehicle Speed Control Monitoring System
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-10-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/21/19/6670 |
| _version_ | 1797515750510952448 |
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| author | Gatera Antoine Chomora Mikeka Gaurav Bajpai Kayalvizhi Jayavel |
| author_facet | Gatera Antoine Chomora Mikeka Gaurav Bajpai Kayalvizhi Jayavel |
| author_sort | Gatera Antoine |
| collection | DOAJ |
| description | 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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula>. The RF performs better than the MLR as it reveals a higher <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> 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. |
| first_indexed | 2024-03-10T06:51:41Z |
| format | Article |
| id | doaj.art-fd5e50e80da44a66a80054ec286ff565 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-10T06:51:41Z |
| publishDate | 2021-10-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-fd5e50e80da44a66a80054ec286ff5652023-11-22T16:49:37ZengMDPI AGSensors1424-82202021-10-012119667010.3390/s21196670Speed Management Strategy: Designing an IoT-Based Electric Vehicle Speed Control Monitoring SystemGatera Antoine0Chomora Mikeka1Gaurav Bajpai2Kayalvizhi Jayavel3African Center of Excellence in Internet of Things (ACEIoT), College of Science and Technology, University of Rwanda, Kigali 3900, RwandaDirectorate of Science, Technology and Innovation, Ministry of Education, Lilongwe P/Bag 328, MalawiDepartment of Computer and Software Engineering, College of Science and Technology, University of Rwanda, Kigali 3900, RwandaDepartment of Networking and Communications, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur 603203, IndiaRoad 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 <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula>. The RF performs better than the MLR as it reveals a higher <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> 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.https://www.mdpi.com/1424-8220/21/19/6670electric vehicleInternet of Thingsroad safetyspeed adaptationvariable speed limit |
| spellingShingle | Gatera Antoine Chomora Mikeka Gaurav Bajpai Kayalvizhi Jayavel Speed Management Strategy: Designing an IoT-Based Electric Vehicle Speed Control Monitoring System Sensors electric vehicle Internet of Things road safety speed adaptation variable speed limit |
| title | Speed Management Strategy: Designing an IoT-Based Electric Vehicle Speed Control Monitoring System |
| title_full | Speed Management Strategy: Designing an IoT-Based Electric Vehicle Speed Control Monitoring System |
| title_fullStr | Speed Management Strategy: Designing an IoT-Based Electric Vehicle Speed Control Monitoring System |
| title_full_unstemmed | Speed Management Strategy: Designing an IoT-Based Electric Vehicle Speed Control Monitoring System |
| title_short | Speed Management Strategy: Designing an IoT-Based Electric Vehicle Speed Control Monitoring System |
| title_sort | speed management strategy designing an iot based electric vehicle speed control monitoring system |
| topic | electric vehicle Internet of Things road safety speed adaptation variable speed limit |
| url | https://www.mdpi.com/1424-8220/21/19/6670 |
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