Article

An empirical study of short range communications for vehicles

Authors:

Hao Wu,

Joonho KoAuthors Info & Claims

VANET '05: Proceedings of the 2nd ACM international workshop on Vehicular ad hoc networks

Pages 83 - 84

https://doi.org/10.1145/1080754.1080769

Published: 02 September 2005 Publication History

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Abstract

This paper presents a detailed measurement study of short range communications between vehicles and between vehicles and roadside stations in a realistic highway scenario. We show the expected wireless communication characteristics in a driving environment and identify factors that significantly affect communication performance. We also illustrate the benefits of multi-hop communication in improving communication performance.

References

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Moske, M., Fubler, H., Hartenstein, H. and Franz, W., Performance Measurements of a Vehicular Ad Hoc Network. in VTC/Spring, (2004).

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Ott, J. and Kutscher, D., Drive-thru Internet: IEEE 802.11b for "Automobile" Users. in INFOCOM'04, (2004).

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Singh, J.P., Bambos, N., Srinivasan, B. and Clawin, D., Wireless LAN Performance under varied stress conditions in vehicular traffic scenarios. in IEEE VTC Fall 2002, (2002).

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Amiri PPierre S(2023)An Ensemble-Based Machine Learning Model for Forecasting Network Traffic in VANETIEEE Access10.1109/ACCESS.2023.325362511(22855-22870)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3253625
Sepasgozar SPierre S(2022)A Comparative Study of Artificial Intelligence Algorithms for Network Traffic Prediction in VANET2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)10.1109/WiMob55322.2022.9941664(431-436)Online publication date: 10-Oct-2022
https://doi.org/10.1109/WiMob55322.2022.9941664
Sepasgozar SPierre S(2022)Fed-NTP: A Federated Learning Algorithm for Network Traffic Prediction in VANETIEEE Access10.1109/ACCESS.2022.322197010(119607-119616)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3221970
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Index Terms

An empirical study of short range communications for vehicles
1. Networks
  1. Network types
    1. Mobile networks
    2. Wireless access networks

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Information & Contributors

Information

Published In

VANET '05: Proceedings of the 2nd ACM international workshop on Vehicular ad hoc networks

September 2005

106 pages

ISBN:1595931414

DOI:10.1145/1080754

General Chairs:
Ken Laberteaux
Toyota Technical Center
,
Hannes Hartenstein
University of Karlsruhe, Germany
,
Program Chairs:
David B. Johnson
Rice University
,
Raja Sengupta
University of California, Berkeley

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]

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 September 2005

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Article

Conference

Vanet05

Sponsor:

Vanet05: Vehicular Ad-hoc Networks Workshop 2005

September 2, 2005

Cologne, Germany

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Overall Acceptance Rate 26 of 64 submissions, 41%

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Cited By

View all

Amiri PPierre S(2023)An Ensemble-Based Machine Learning Model for Forecasting Network Traffic in VANETIEEE Access10.1109/ACCESS.2023.325362511(22855-22870)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3253625
Sepasgozar SPierre S(2022)A Comparative Study of Artificial Intelligence Algorithms for Network Traffic Prediction in VANET2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)10.1109/WiMob55322.2022.9941664(431-436)Online publication date: 10-Oct-2022
https://doi.org/10.1109/WiMob55322.2022.9941664
Sepasgozar SPierre S(2022)Fed-NTP: A Federated Learning Algorithm for Network Traffic Prediction in VANETIEEE Access10.1109/ACCESS.2022.322197010(119607-119616)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3221970
Sepasgozar SPierre S(2022)Network Traffic Prediction Model Considering Road Traffic Parameters Using Artificial Intelligence Methods in VANETIEEE Access10.1109/ACCESS.2022.314411210(8227-8242)Online publication date: 2022
https://doi.org/10.1109/ACCESS.2022.3144112
Garg SMehrotra DPandey HPandey S(2021)Accessible review of internet of vehicle models for intelligent transportation and research gaps for potential future directionsPeer-to-Peer Networking and Applications10.1007/s12083-020-01054-614:2(978-1005)Online publication date: 18-Jan-2021
https://doi.org/10.1007/s12083-020-01054-6
Doone MCotton SMatolak DOestges CHeaney SScanlon W(2019)Pedestrian-to-Vehicle Communications in an Urban Environment: Channel Measurements and ModelingIEEE Transactions on Antennas and Propagation10.1109/TAP.2018.288546167:3(1790-1803)Online publication date: Mar-2019
https://doi.org/10.1109/TAP.2018.2885461
Al-Mayouf YAbdullah NMahdi OKhan SIsmail MGuizani MAhmed S(2018)Real-Time Intersection-Based Segment Aware Routing Algorithm for Urban Vehicular NetworksIEEE Transactions on Intelligent Transportation Systems10.1109/TITS.2018.282331219:7(2125-2141)Online publication date: Jul-2018
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Yang BZheng RYin YYamabe SNakano K(2016)Analysis of influence on driver behaviour while using in‐vehicle traffic lights with application of head‐up displayIET Intelligent Transport Systems10.1049/iet-its.2015.017910:5(347-353)Online publication date: Jun-2016
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Xiao GZhang HHassan HChen YHuang ZSun N(2016)A cooperative offloading game on data recovery for reliable broadcast in VANETConcurrency and Computation: Practice and Experience10.1002/cpe.393829:14Online publication date: 16-Sep-2016
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Tornell SPatra SCalafate CCano JManzoni P(2015)GRCBoxInternational Journal of Distributed Sensor Networks10.1155/2015/4780642015(5-5)Online publication date: 1-Jan-2015
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