research-article

A Traffic Management Service Based on V2I Communication for Vehicular Ad-hoc Networks

Authors:

Massilon Lourenço,

Thiago S. Gomides,

Fernanda S. H. de Souza,

Rodolfo I. Meneguette,

Daniel L. GuidoniAuthors Info & Claims

LANC '18: Proceedings of the 10th Latin America Networking Conference

Pages 25 - 31

https://doi.org/10.1145/3277103.3277132

Published: 03 October 2018 Publication History

Abstract

In the last years, the vehicle flow increases faster than road infrastructure in urban areas. In this scenario, traffic related problems are increasing and affecting people day life, including travel time and health problems. Considering the literature works, there are a number of solutions to deal with traffic congestion, however, they relay on central server or totally distributed. This work proposes a solution for traffic management based on the V2I communication, i.e., communication between vehicles and Road Side Unit. During their trip, vehicles send messages to the closest RSU and when they face a traffic jam, vehicles request information to the closest RSU regarding information of streets (travel time). Using this information, each vehicle is able to find alternatives routes. We compare our solution to a literature one. Simulation results showed that the proposes solution is able to decrease the travel time with a low impact on travel distance.

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Cited By

Mohammed BAl-Shareeda MAlsadhan AAl-Mekhlafi ZSallam AAl-Qatab BAlshammari MAlayba A(2024)Service based VEINS framework for vehicular Ad-hoc network (VANET): A systematic review of state-of-the-artPeer-to-Peer Networking and Applications10.1007/s12083-024-01692-017:4(2259-2281)Online publication date: 3-May-2024
https://doi.org/10.1007/s12083-024-01692-0
Farooqi AAlam MHassan SIdrees S(2022)A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City TransportationApplied Sciences10.3390/app1204208312:4(2083)Online publication date: 17-Feb-2022
https://doi.org/10.3390/app12042083
Popescu-Bodorin NNagy M(2022)A New Way of Collecting Traffic Data Inside a Smart City Based on IoT Devices and Communication Protocols Designed for Preserving Perfect AnonymityIntelligent Methods Systems and Applications in Computing, Communications and Control10.1007/978-3-031-16684-6_6(72-84)Online publication date: 25-Sep-2022
https://doi.org/10.1007/978-3-031-16684-6_6
Show More Cited By

Index Terms

A Traffic Management Service Based on V2I Communication for Vehicular Ad-hoc Networks
1. Networks
  1. Network performance evaluation
  2. Network protocols

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Information & Contributors

Information

Published In

cover image ACM Other conferences

LANC '18: Proceedings of the 10th Latin America Networking Conference

October 2018

130 pages

ISBN:9781450359221

DOI:10.1145/3277103

Conference Chairs:
Leandro Villas
University of Campinas, Brazil
,
Julião Braga
Mackenzie Presbyterian University, Brazil
,
General Chair:
Denis Rosário
Federal University of Pará, Brazil
,
Publications Chair:
Eric Gamess
Jacksonville State University, USA

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

In-Cooperation

SIGCOMM: ACM Special Interest Group on Data Communication
CLEI: Centro Latinoamericano de Estudios en Informática

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 October 2018

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LANC '18

LANC '18: Latin America Networking Conference

October 3 - 4, 2018

São Paulo, Brazil

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Cited By

Mohammed BAl-Shareeda MAlsadhan AAl-Mekhlafi ZSallam AAl-Qatab BAlshammari MAlayba A(2024)Service based VEINS framework for vehicular Ad-hoc network (VANET): A systematic review of state-of-the-artPeer-to-Peer Networking and Applications10.1007/s12083-024-01692-017:4(2259-2281)Online publication date: 3-May-2024
https://doi.org/10.1007/s12083-024-01692-0
Farooqi AAlam MHassan SIdrees S(2022)A Fog Computing Model for VANET to Reduce Latency and Delay Using 5G Network in Smart City TransportationApplied Sciences10.3390/app1204208312:4(2083)Online publication date: 17-Feb-2022
https://doi.org/10.3390/app12042083
Popescu-Bodorin NNagy M(2022)A New Way of Collecting Traffic Data Inside a Smart City Based on IoT Devices and Communication Protocols Designed for Preserving Perfect AnonymityIntelligent Methods Systems and Applications in Computing, Communications and Control10.1007/978-3-031-16684-6_6(72-84)Online publication date: 25-Sep-2022
https://doi.org/10.1007/978-3-031-16684-6_6
Meneguette RDe Grande RUeyama JFilho GMadeira E(2021)Vehicular Edge Computing: Architecture, Resource Management, Security, and ChallengesACM Computing Surveys10.1145/348512955:1(1-46)Online publication date: 23-Nov-2021
https://dl.acm.org/doi/10.1145/3485129
Agarwal PSharma SMatta P(2021)Components, Technologies, and Market of Road Traffic Management System in Global Scenarios: A Complete Study2021 International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems (ICSES)10.1109/ICSES52305.2021.9633796(1-10)Online publication date: 24-Sep-2021
https://doi.org/10.1109/ICSES52305.2021.9633796
Gomides TDe Grande RSouza FGuidoni D(2020)RIDER: Proactive and Reactive Approach for Urban Traffic Management in Vehicular Networks2020 16th International Conference on Distributed Computing in Sensor Systems (DCOSS)10.1109/DCOSS49796.2020.00021(51-58)Online publication date: May-2020
https://doi.org/10.1109/DCOSS49796.2020.00021
Paricio ALopez-Carmona M(2019)MuTraff: A Smart-City Multi-Map Traffic Routing FrameworkSensors10.3390/s1924534219:24(5342)Online publication date: 4-Dec-2019
https://doi.org/10.3390/s19245342
Sanches Quessada MLuis Cristiani ARanzani Junior PPereira Leal MIpolito Meneguette R(2019)SEnTINEL - INtELligent Transport SystEm for Urban Mobility Management in Smart Cities2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS)10.1109/DCOSS.2019.00102(538-545)Online publication date: May-2019
https://doi.org/10.1109/DCOSS.2019.00102

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