Congestion Based Mechanism for Route Discovery in a V2I-V2V System Applying Smart Devices and IoT
The Internet of Things is a new paradigm in which objects in a specific context can be integrated into traditional communication networks to actively participate in solving a determined problem. The Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) technologies are specific cases of IoT a...
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| Format: | Article |
| Language: | English |
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MDPI AG
2015-03-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | http://www.mdpi.com/1424-8220/15/4/7768 |
| _version_ | 1798024555211522048 |
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| author | Natalia Parrado Yezid Donoso |
| author_facet | Natalia Parrado Yezid Donoso |
| author_sort | Natalia Parrado |
| collection | DOAJ |
| description | The Internet of Things is a new paradigm in which objects in a specific context can be integrated into traditional communication networks to actively participate in solving a determined problem. The Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) technologies are specific cases of IoT and key enablers for Intelligent Transportation Systems (ITS). V2V and V2I have been widely used to solve different problems associated with transportation in cities, in which the most important is traffic congestion. A high percentage of congestion is usually presented by the inappropriate use of resources in vehicular infrastructure. In addition, the integration of traffic congestion in decision making for vehicular traffic is a challenge due to its high dynamic behavior. In this paper, an optimization model over the load balancing in the congestion percentage of the streets is formulated. Later, we explore a fully congestion-oriented route discovery mechanism and we make a proposal on the communication infrastructure that should support it based on V2I and V2V communication. The mechanism is also compared with a modified Dijkstra’s approach that reacts at congestion states. Finally, we compare the results of the efficiency of the vehicle’s trip with the efficiency in the use of the capacity of the vehicular network. |
| first_indexed | 2024-04-11T18:04:33Z |
| format | Article |
| id | doaj.art-bb88f6dd171a43f2bc135de95737bb2f |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T18:04:33Z |
| publishDate | 2015-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-bb88f6dd171a43f2bc135de95737bb2f2022-12-22T04:10:22ZengMDPI AGSensors1424-82202015-03-011547768780610.3390/s150407768s150407768Congestion Based Mechanism for Route Discovery in a V2I-V2V System Applying Smart Devices and IoTNatalia Parrado0Yezid Donoso1Grupo de Comunicaciones y Tecnologías de Información (COMIT), Departamento de Ingeniería de Sistemas y Computación, Universidad de Los Andes, Carrera 1Este 19ª-40, Bogotá 111711, ColombiaGrupo de Comunicaciones y Tecnologías de Información (COMIT), Departamento de Ingeniería de Sistemas y Computación, Universidad de Los Andes, Carrera 1Este 19ª-40, Bogotá 111711, ColombiaThe Internet of Things is a new paradigm in which objects in a specific context can be integrated into traditional communication networks to actively participate in solving a determined problem. The Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) technologies are specific cases of IoT and key enablers for Intelligent Transportation Systems (ITS). V2V and V2I have been widely used to solve different problems associated with transportation in cities, in which the most important is traffic congestion. A high percentage of congestion is usually presented by the inappropriate use of resources in vehicular infrastructure. In addition, the integration of traffic congestion in decision making for vehicular traffic is a challenge due to its high dynamic behavior. In this paper, an optimization model over the load balancing in the congestion percentage of the streets is formulated. Later, we explore a fully congestion-oriented route discovery mechanism and we make a proposal on the communication infrastructure that should support it based on V2I and V2V communication. The mechanism is also compared with a modified Dijkstra’s approach that reacts at congestion states. Finally, we compare the results of the efficiency of the vehicle’s trip with the efficiency in the use of the capacity of the vehicular network.http://www.mdpi.com/1424-8220/15/4/7768IoTtraffic congestionvehicular routingload balancing optimizationfairnesscongestionV2IV2IITS |
| spellingShingle | Natalia Parrado Yezid Donoso Congestion Based Mechanism for Route Discovery in a V2I-V2V System Applying Smart Devices and IoT Sensors IoT traffic congestion vehicular routing load balancing optimization fairness congestion V2I V2I ITS |
| title | Congestion Based Mechanism for Route Discovery in a V2I-V2V System Applying Smart Devices and IoT |
| title_full | Congestion Based Mechanism for Route Discovery in a V2I-V2V System Applying Smart Devices and IoT |
| title_fullStr | Congestion Based Mechanism for Route Discovery in a V2I-V2V System Applying Smart Devices and IoT |
| title_full_unstemmed | Congestion Based Mechanism for Route Discovery in a V2I-V2V System Applying Smart Devices and IoT |
| title_short | Congestion Based Mechanism for Route Discovery in a V2I-V2V System Applying Smart Devices and IoT |
| title_sort | congestion based mechanism for route discovery in a v2i v2v system applying smart devices and iot |
| topic | IoT traffic congestion vehicular routing load balancing optimization fairness congestion V2I V2I ITS |
| url | http://www.mdpi.com/1424-8220/15/4/7768 |
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