research-article

Exploring Interactions in Vehicular Networks

Authors:

Felipe D. Cunha,

Davidysson A. Alvarenga,

Guilherme Maia,

Aline C. Viana,

Raquel A.F. Mini,

Antonio A.F. LoureiroAuthors Info & Claims

MobiWac '16: Proceedings of the 14th ACM International Symposium on Mobility Management and Wireless Access

Pages 131 - 138

https://doi.org/10.1145/2989250.2989260

Published: 13 November 2016 Publication History

Abstract

Vehicular networks are networks comprised of vehicles traveling cities and highways. During their trajectories, these vehicles interact with other vehicles and roadside units, to make safer and enjoyable traffic. Several factors may influence these interactions. To mention a few: vehicle speed, roads condition, time of day and weather. Moreover, driver behavior and its interests can influence in vehicle features. In this context, the Vehicular Social Networks arise as a new perspective to vehicular networks, where the vehicles "socialize" and share common interests. In this work, we check the behavior of vehicles using two mobility scenarios, to classify them according to the interactions performed, identifying common interests and similar routines. Thus, we use metrics of complex networks and statistical techniques. Results prove the existence of routines and human features in Vehicular Networks.

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Cited By

Celes CBoukerche ALoureiro A(2023)Generating and Analyzing Mobility Traces for Bus-Based Vehicular NetworksIEEE Transactions on Vehicular Technology10.1109/TVT.2023.329015472:12(16409-16425)Online publication date: Dec-2023
https://doi.org/10.1109/TVT.2023.3290154
Wang ZSun PHu YBoukerche ABoukerche AGiannelli CSun Z(2022)A Novel Mixed Method of Machine Learning Based Models in Vehicular Traffic Flow PredictionProceedings of the 25th International ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems10.1145/3551659.3559047(95-101)Online publication date: 24-Oct-2022
https://dl.acm.org/doi/10.1145/3551659.3559047
S. de Sousa RBoukerche AA. F. Loureiro Ade la Cruz Llopis LAguilar Igartua MTripp Barba C(2020)A Cluster-based Framework for Predicting Large Scale Road-Network Constrained TrajectoriesProceedings of the 17th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks10.1145/3416011.3424751(1-8)Online publication date: 16-Nov-2020
https://dl.acm.org/doi/10.1145/3416011.3424751
Show More Cited By

Index Terms

Exploring Interactions in Vehicular Networks
1. Networks
  1. Network architectures
  2. Network properties
    1. Network structure
      1. Topology analysis and generation

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Information & Contributors

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Published In

cover image ACM Conferences

MobiWac '16: Proceedings of the 14th ACM International Symposium on Mobility Management and Wireless Access

November 2016

186 pages

ISBN:9781450345033

DOI:10.1145/2989250

General Chair:
Ángel Cuevas
Universidad Carlos III de Madrid, Spain
,
Program Chairs:
Periklis Chatzimisios
Alexander TEI of Thessaloniki, Greece
,
Robson De Grande
NSERC DIVA Startegic Research Network, Canada

Copyright © 2016 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]

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SIGSIM: ACM Special Interest Group on Simulation and Modeling

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 November 2016

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MSWiM '16

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MSWiM '16: 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

November 13 - 17, 2016

Malta, Malta

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Overall Acceptance Rate 83 of 272 submissions, 31%

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Cited By

Celes CBoukerche ALoureiro A(2023)Generating and Analyzing Mobility Traces for Bus-Based Vehicular NetworksIEEE Transactions on Vehicular Technology10.1109/TVT.2023.329015472:12(16409-16425)Online publication date: Dec-2023
https://doi.org/10.1109/TVT.2023.3290154
Wang ZSun PHu YBoukerche ABoukerche AGiannelli CSun Z(2022)A Novel Mixed Method of Machine Learning Based Models in Vehicular Traffic Flow PredictionProceedings of the 25th International ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems10.1145/3551659.3559047(95-101)Online publication date: 24-Oct-2022
https://dl.acm.org/doi/10.1145/3551659.3559047
S. de Sousa RBoukerche AA. F. Loureiro Ade la Cruz Llopis LAguilar Igartua MTripp Barba C(2020)A Cluster-based Framework for Predicting Large Scale Road-Network Constrained TrajectoriesProceedings of the 17th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks10.1145/3416011.3424751(1-8)Online publication date: 16-Nov-2020
https://dl.acm.org/doi/10.1145/3416011.3424751
Celes CBoukerche ALoureiro AAguilar Igartua MBellavista PLoureiro AGiannelli C(2020)Calibrating Bus Mobility Data for Bus-based Urban Vehicular NetworksProceedings of the 23rd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems10.1145/3416010.3423239(207-214)Online publication date: 16-Nov-2020
https://dl.acm.org/doi/10.1145/3416010.3423239
Boukerche ASoto V(2020)An Efficient Mobility-Oriented Retrieval Protocol for Computation Offloading in Vehicular Edge Multi-Access NetworkIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2020.2991376(1-14)Online publication date: 2020
https://doi.org/10.1109/TITS.2020.2991376
Boukerche ACoutinho R(2019)Tutorial Information-Centric Vehicular Networking: Why and Wherefores, Challenges, and Design Guidelines2019 IEEE Symposium on Computers and Communications (ISCC)10.1109/ISCC47284.2019.8969643(1-2)Online publication date: Jun-2019
https://doi.org/10.1109/ISCC47284.2019.8969643
Bedogni LFiore MGlacet C(2018)Temporal Reachability in Vehicular NetworksIEEE INFOCOM 2018 - IEEE Conference on Computer Communications10.1109/INFOCOM.2018.8486393(81-89)Online publication date: Apr-2018
https://doi.org/10.1109/INFOCOM.2018.8486393
Diniz GCunha FLoureiro ANotare MCoutinho R(2017)On the Characterization of Vehicular MobilityProceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications10.1145/3132340.3132349(23-29)Online publication date: 21-Nov-2017
https://dl.acm.org/doi/10.1145/3132340.3132349

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