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Insights on metropolitan-scale vehicular mobility from a networking perspective

Published: 25 June 2012 Publication History

Abstract

The management of mobility is commonly regarded as one of the most critical issues in large-scale telecommunication networks. The problem is exacerbated when considering vehicular mobility, which is characterized by road-constrained movements, high speeds, sudden changes of movement direction and acceleration, and significant variations of these dynamics over daytime. The understanding of the properties of car movement patterns becomes then paramount to the design and evaluation of network solutions aimed at vehicular environments. In this paper, we analyze a synthetic representation of road traffic in the metropolitan area of Cologne, Germany, during 24 hours of a typical working day. We extract features of interest from a networking viewpoint, and discuss their impact on the deployment and dimensioning of communication systems for road scenarios.

References

[1]
M. Fiore, J. Hä, "The Networking Shape of Vehicular Mobility", ACM MobiHoc, Hong Kong, PRC, May, 2008.
[2]
W. Viriyasitavat, F. Bai, O. K. Tonguz, "Dynamics of Network Connectivity in Urban Vehicular Networks", IEEE Journal on Selected Areas in Communications, vol. 29, no. 3, pp. 515--533, 2011.
[3]
S. Yoon, D. T. Ha, H. Q. Ngo, C. Qiao, "MoPADS: A mobility profile aided file downloading service in vehicular networks," IEEE Transactions on Vehicular Technology, vol. 58, no. 9, 2009.
[4]
M. Fiore, J. M. Barcelo-Ordinas, "Cooperative download in urban vehicular networks," IEEE MASS, Macau, China, Oct., 2009.
[5]
Z. Zheng, Z. Lu, P. Sinha, S. Kumar, "Maximizing the contact opportunity for vehicular Internet access," IEEE INFOCOM, San Diego, CA, Mar. 2010.
[6]
O. Trullols, M. Fiore, C. Casetti, C.-F. Chiasserini, J. M. Barcelo-Ordinas, "Planning roadside infrastructure for information dissemination in intelligent transportation systems," Computer Communications, vol. 33, no. 4, pp. 432--442, Mar., 2010.
[7]
S. Uppoor, M. Fiore, "Large-scale Urban Vehicular Mobility for Networking Research," IEEE VNC, Amsterdam, The Netherlands, Nov., 2011.
[8]
OpenStreetMap, http://www.openstreetmap.org.
[9]
Simulation of Urban Mobility, http://sumo.sourceforge.net.
[10]
S. Krauß, P. Wagner, C. Gawron," Metastable States in a Microscopic Model of Traffic Flow", Physical Review E, vol. 55, no. 304, pp. 55--97, May, 1997.
[11]
D. Krajzewicz, "Kombination von taktischen und strategischen Einflüssen in einermikroskopischen Verkehrsflusssimulation", in T. Jürgensohn, H. Kolrep (editors), Fahrermodellierung in Wissenschaft und Wirtschaft, VDI-Verlag, pp. 104--115, Berlin-Adlershof, Germany, 2009.
[12]
G. Rindsfüser, J. Ansorge, H. Mühlhans, "Aktivitätenvorhaben", in K. J. Beckmann (editor), SimVV Mobilität verstehen und lenken - zu einer integrierten quantitativen Gesamtsicht und Mikrosimulation von Verkehr, Final report, Ministry of School, Science and Research of Nordrhein-Westfalen, Düsseldorf, Germany, 2002.
[13]
M. Ehling, W. Bihler, "Zeit im Blickfeld. Ergebnisse einer repräsentativen Zeitbudgeterhebung", in K. Blanke, M. Ehling, N. Schwarz (editors), Schriftenreihe des Bundesministeriums für Familie, Senioren, Frauen und Jugend, vol. 121, pp. 237--274, Kohlhammer, Stuttgart, Germany, 1996.
[14]
C. Varschen, P. Wagner, "Mikroskopische Modellierung der Personenverkehrsnachfrage aufBasis von Zeitverwendungstagebüchern", Stadt Region Land, vol. 81, pp. 63--69, 2006.
[15]
C. Gawron, "An Iterative Algorithm to Determine the Dynamic User Equilibrium in a Traffic Simulation Model", International Journal of Modern Physics C, vol. 9, no. 3, pp. 393--407, 1998.
[16]
F. Khan, D. Zeghlache, "Effect of cell residence time distribution on the performance of cellular mobile networks," IEEE VTC, Phoenix, AZ, May, 1997.
[17]
L. Cheng, B. Henty, D. Stancil, F. Bai, P. Mudalige, "Mobile Vehicle-to-Vehicle Narrow-Band Channel Measurement and Characterization of the 5.9 GHz Dedicated Short Range Communication (DSRC) Frequency Band," IEEE Journal on Selected Areas in Communications, vol. 25, no. 8, pp. 1501--1516, 2007.

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    cover image ACM Conferences
    HotPlanet '12: Proceedings of the 4th ACM international workshop on Hot topics in planet-scale measurement
    June 2012
    52 pages
    ISBN:9781450313186
    DOI:10.1145/2307836
    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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    Publication History

    Published: 25 June 2012

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    Author Tags

    1. cell residence time
    2. inter-arrival time
    3. inter-vehicle contact duration
    4. road traffic flows
    5. vehicular mobility

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    Overall Acceptance Rate 11 of 20 submissions, 55%

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    View all
    • (2024)Enhancing Mobile Network Performance Through ORAN-Integrated UAV-Based Mobility ManagementIEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)10.1109/INFOCOMWKSHPS61880.2024.10620765(1-8)Online publication date: 20-May-2024
    • (2018)A Game Theory Approach for Platoon-Based Driving for Multimedia Transmission in VANETsWireless Communications and Mobile Computing10.1155/2018/24146582018(1-11)Online publication date: 20-Jun-2018
    • (2018)MOMMA: A Flexible Architecture Based on Fog Computing for Mobility Management2018 IEEE Symposium on Computers and Communications (ISCC)10.1109/ISCC.2018.8538737(00964-00969)Online publication date: Jun-2018
    • (2017)Socially Inspired DisseminationVehicular Social Networks10.1201/9781315368450-10(103-127)Online publication date: 9-Jun-2017
    • (2017)Resource Management in Fog-Enhanced Radio Access Network to Support Real-Time Vehicular Services2017 IEEE 1st International Conference on Fog and Edge Computing (ICFEC)10.1109/ICFEC.2017.17(68-74)Online publication date: May-2017
    • (2016)Exploring Interactions in Vehicular NetworksProceedings of the 14th ACM International Symposium on Mobility Management and Wireless Access10.1145/2989250.2989260(131-138)Online publication date: 13-Nov-2016
    • (2016)Vehicular NetworksACM Computing Surveys10.1145/290374549:1(1-29)Online publication date: 6-Jun-2016
    • (2016)Identifying Region-Wide Functions Using Urban Taxicab TrajectoriesACM Transactions on Embedded Computing Systems10.1145/282150715:2(1-19)Online publication date: 11-Mar-2016
    • (2015)Understanding Interactions in Vehicular Networks Through Taxi MobilityProceedings of the 12th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous Networks10.1145/2810379.2810385(17-24)Online publication date: 2-Nov-2015
    • (2015)An adaptive solution for data dissemination under diverse road traffic conditions in urban scenarios2015 IEEE Wireless Communications and Networking Conference (WCNC)10.1109/WCNC.2015.7127716(1654-1659)Online publication date: Mar-2015
    • Show More Cited By

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