Intelligent Road Management System for Autonomous, Non-Autonomous, and VIP Vehicles
Currently, autonomous vehicles, non-autonomous vehicles, and VIP (emergency) autonomous cars are using intelligent road management techniques to interact with one another and enhance the effectiveness of the traffic system. All sorts of vehicles are managed and under control using the intersection m...
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Format: | Article |
Language: | English |
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MDPI AG
2023-09-01
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Series: | World Electric Vehicle Journal |
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Online Access: | https://www.mdpi.com/2032-6653/14/9/238 |
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author | Awad Bin Naeem Biswaranjan Senapati Md. Sakiul Islam Sudman Kashif Bashir Ayman E. M. Ahmed |
author_facet | Awad Bin Naeem Biswaranjan Senapati Md. Sakiul Islam Sudman Kashif Bashir Ayman E. M. Ahmed |
author_sort | Awad Bin Naeem |
collection | DOAJ |
description | Currently, autonomous vehicles, non-autonomous vehicles, and VIP (emergency) autonomous cars are using intelligent road management techniques to interact with one another and enhance the effectiveness of the traffic system. All sorts of vehicles are managed and under control using the intersection management unit approach. This study focuses on transportation networks where VIP cars are a major disruption, accounting for 40% of accidents and 80% of delays. Intelligent Mobility (IM) is a strategy promoted in this study that proposes setting up intelligent channels for all vehicle communication. As part of its function, the IM unit keeps tabs on how often each junction is used so that it may notify drivers on traffic conditions and ease their workload. The suggested layout may drastically cut average wait times at crossings, as shown in SUMO simulations. The entrance of a VIP car should disrupt all traffic, but the IM (intersection management) unit effectively manages all traffic by employing preemptive scheduling and non-preemptive scheduling techniques for all types of vehicles. We are employing Nishtar roads, the M4 motorway, Mexico, and Washington roads in our scenario. In comparison to all other routes, the simulation results demonstrate that the Washington road route is better able to manage all vehicle kinds. Washington’s traffic delays for 50 cars of all sorts are 4.02 s for autonomous vehicles, 3.62 s for VIP autonomous vehicles, and 4.33 s for non-autonomous vehicles. |
first_indexed | 2024-03-10T21:50:10Z |
format | Article |
id | doaj.art-049173b26e4f472ebc2fe93fe9142cd6 |
institution | Directory Open Access Journal |
issn | 2032-6653 |
language | English |
last_indexed | 2024-03-10T21:50:10Z |
publishDate | 2023-09-01 |
publisher | MDPI AG |
record_format | Article |
series | World Electric Vehicle Journal |
spelling | doaj.art-049173b26e4f472ebc2fe93fe9142cd62023-11-19T13:27:09ZengMDPI AGWorld Electric Vehicle Journal2032-66532023-09-0114923810.3390/wevj14090238Intelligent Road Management System for Autonomous, Non-Autonomous, and VIP VehiclesAwad Bin Naeem0Biswaranjan Senapati1Md. Sakiul Islam Sudman2Kashif Bashir3Ayman E. M. Ahmed4Department of Computer Science, National College of Business Administration & Economics, Multan 60000, PakistanDepartment of Computer Science and Data Science, Parker Hannifin Corp, Chicago, IL 60503, USADepartment of Electrical Engineering, University of Texas, Arlington, TX 76019, USADepartment of Computer Science, Al-Khawarzmi Institute of Computer Science UET, Lahore 54890, PakistanFaculty of Computer Engineering, King Salman International University, El Tor 46511, EgyptCurrently, autonomous vehicles, non-autonomous vehicles, and VIP (emergency) autonomous cars are using intelligent road management techniques to interact with one another and enhance the effectiveness of the traffic system. All sorts of vehicles are managed and under control using the intersection management unit approach. This study focuses on transportation networks where VIP cars are a major disruption, accounting for 40% of accidents and 80% of delays. Intelligent Mobility (IM) is a strategy promoted in this study that proposes setting up intelligent channels for all vehicle communication. As part of its function, the IM unit keeps tabs on how often each junction is used so that it may notify drivers on traffic conditions and ease their workload. The suggested layout may drastically cut average wait times at crossings, as shown in SUMO simulations. The entrance of a VIP car should disrupt all traffic, but the IM (intersection management) unit effectively manages all traffic by employing preemptive scheduling and non-preemptive scheduling techniques for all types of vehicles. We are employing Nishtar roads, the M4 motorway, Mexico, and Washington roads in our scenario. In comparison to all other routes, the simulation results demonstrate that the Washington road route is better able to manage all vehicle kinds. Washington’s traffic delays for 50 cars of all sorts are 4.02 s for autonomous vehicles, 3.62 s for VIP autonomous vehicles, and 4.33 s for non-autonomous vehicles.https://www.mdpi.com/2032-6653/14/9/238autonomous vehiclesnon-autonomous vehicleVIP vehiclepreemptive schedulingnon-preemptive scheduling |
spellingShingle | Awad Bin Naeem Biswaranjan Senapati Md. Sakiul Islam Sudman Kashif Bashir Ayman E. M. Ahmed Intelligent Road Management System for Autonomous, Non-Autonomous, and VIP Vehicles World Electric Vehicle Journal autonomous vehicles non-autonomous vehicle VIP vehicle preemptive scheduling non-preemptive scheduling |
title | Intelligent Road Management System for Autonomous, Non-Autonomous, and VIP Vehicles |
title_full | Intelligent Road Management System for Autonomous, Non-Autonomous, and VIP Vehicles |
title_fullStr | Intelligent Road Management System for Autonomous, Non-Autonomous, and VIP Vehicles |
title_full_unstemmed | Intelligent Road Management System for Autonomous, Non-Autonomous, and VIP Vehicles |
title_short | Intelligent Road Management System for Autonomous, Non-Autonomous, and VIP Vehicles |
title_sort | intelligent road management system for autonomous non autonomous and vip vehicles |
topic | autonomous vehicles non-autonomous vehicle VIP vehicle preemptive scheduling non-preemptive scheduling |
url | https://www.mdpi.com/2032-6653/14/9/238 |
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