skip to main content
10.1145/1614269.1614279acmconferencesArticle/Chapter ViewAbstractPublication PagesmobicomConference Proceedingsconference-collections
research-article

Stereoscopic aerial photography: an alternative to model-based urban mobility approaches

Published: 25 September 2009 Publication History

Abstract

In the absence of large-scale deployments of VANETs, simulation based research is until now the only choice available to address and validate the design of protocols in the context of vehicular networks. The simulation frameworks involved in this research have to model two essential components, namely the vehicular mobility and the wireless inter-vehicle communication. Both of these aspects are especially complex in urban scenarios. In this paper we propose an alternative approach to obtain a realistic configuration of vehicles, and the respective traveling speeds, based on stereoscopic aerial photography, that is available to virtually every city in the world. We further use the aerial perspective of an urban area to identify a buildings layer and evaluate a wireless communication model that accounts for the obstructions caused by such layer on the connectivity of the wireless network. We evaluate our proposal over the city of Porto and compare the results obtained with model-based mobility approaches. Our results show significant differences in the connectivity profile of the analyzed urban VANET.

References

[1]
Fleetnet - Internet on the road. http://www.netlab.nec.de/Projects/fleetnet.htm (accessed on July, 2009).
[2]
NOW: Network on Wheels. http://www.network-on-wheels.de (accessed on July, 2009).
[3]
PTV Simulation VISSIM. http://www.english.ptv.de/(accessed on July, 2009).
[4]
The Gertrude System. http://www.gertrude.fr (accessed on July, 2009).
[5]
The MIT CarTel project. http://cartel.csail.mit.edu/ (accessed on July, 2009).
[6]
TrafficView System. http://discolab.rutgers.edu/traffic/index.htm (accessed on July, 2009).
[7]
TRANSIMS. http://transims.tsasa.lanl.gov/ (accessed on July, 2009).
[8]
F. Bai, N. Sadagopan, and A. Helmy. The IMPORTANT framework for analyzing the Impact of Mobility on Performance Of RouTing protocols for Adhoc NeTworks. Ad Hoc Networks, 1(4):383--403, 2003.
[9]
D. Choffnes and F. Bustamante. An integrated mobility and traffic model for vehicular wireless networks. In Proceedings of the 2nd ACM international workshop on Vehicular ad hoc networks, pages 69--78. ACM New York, NY, USA, 2005.
[10]
H. Conceicao, L. Damas, M. Ferreira, and J. Barros. Large-Scale Simulation of V2V Environments. In Proceedings of the 2008 ACM symposium on Applied computing, pages 28--33, New York, NY, USA, 2008. ACM.
[11]
H. Conceicao, M. Ferreira, and J. Barros. A Cautionary View of Mobility and Connectivity Modeling in Vehicular Ad-Hoc Networks. In The 69th IEEE Vehicular Technology Conference VTC2009-Spring Barcelona, Barcelona, Spain, April 2009.
[12]
M. Fiore and J. H¨arri. The networking shape of vehicular mobility. In Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing, pages 261--272. ACM New York, NY, USA, 2008.
[13]
E. Giordano, A. Ghosh, G. Pau, and M. Gerla. C-vet, the ucla campus vehicular testbed: Preliminary measurements and results, 2008.
[14]
J. Haerri, F. Filali, and C. Bonnet. Mobility models for vehicular ad hoc networks: a survey and taxonomy. IEEE Communications Surveys and Tutorials, 2008.
[15]
X. Hong, M. Gerla, G. Pei, and C. Chiang. A group mobility model for ad hoc wireless networks. In Proceedings of the 2nd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems. Association for Computing Machinery, Inc, One Astor Plaza, 1515 Broadway, New York, NY, 10036-5701, USA 1999.
[16]
A. Int. l: Standard Specification for Telecommunications and Information Exchange Between Roadside and Vehicle Systems-5GHz Band Dedicated Short Range Communications (DSRC) Medium Access Control (MAC) and Physical Layer (PHY) Specifications. ASTM E2213-03, 2003.
[17]
A. Jardosh, E. Belding-Royer, K. Almeroth, and S. Suri. Towards realistic mobility models for mobile ad hoc networks. In Proceedings of the 9th annual international conference on Mobile computing and networking, pages 217--229. ACM New York, NY, USA, 2003.
[18]
D. Johnson, D. Maltz, J. Broch, et al. DSR: The dynamic source routing protocol for multi-hop wireless ad hoc networks. Ad hoc networking, 5:139--172, 2001.
[19]
J. Kim and S. Bohacek. A survey-based mobility model of people for simulation of urban mesh networks. Proc. MeshNets, 2005.
[20]
D. Krajzewicz, G. Hertkorn, C. Rossel, and P. Wagner. SUMO (Simulation of Urban MObility); An open-source traffic simulation. In 4th Middle East Symposium on Simulation and Modelling (MESM2002), pages 183--187.
[21]
S. Kurkowski, T. Camp, and M. Colagrosso. Manet simulation studies: the incredibles. Mobile Computing and Communications Review, 9(4):50--61, 2005.
[22]
R. Mangharam, D. Weller, D. Stancil, R. Rajkumar, and J. Parikh. GrooveSim: a topography-accurate simulator for geographic routing in vehicular networks. In Proceedings of the 2nd ACM international workshop on Vehicular ad hoc networks, pages 59--68. ACM New York, NY, USA, 2005.
[23]
J. Maurer, T. Fugen, T. Schafer, and W. Wiesbeck. A new inter-vehicle communications (IVC) channel model. In 2004 IEEE 60th Vehicular Technology Conference, 2004. VTC2004-Fall, volume 1, 2004.
[24]
W. McCasland. Comparison of Two Techniques of Aerial Photography for Application in Freeway Traffic Operations Studies. Highway Research Board, 1965.
[25]
V. Naumov, R. Baumann, and T. Gross. An evaluation of inter-vehicle ad hoc networks based on realistic vehicular traces. In Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing, pages 108--119. ACM New York, NY, USA, 2006.
[26]
A. Neskovic, N. Neskovic, and G. Paunovic. Modern approaches in modeling of mobile radio systems propagation environment. IEEE Communications Surveys, 3(3):2--12, 2000.
[27]
J. Oishi, K. Asakura, and T. Watanabe. A Communication Model for Inter-vehicle Communication Simulation Systems Based on Properties of Urban Areas. IJCSNS, 6(10):213, 2006.
[28]
J. Oishi, K. Asakura, and T. Watanabe. An Approximate Model of Radio Wave Propagation for Inter-vehicles Communication Simulation Systems. In Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, pages 192--198, 2006.
[29]
J. Parsons and K. (Firm). The mobile radio propagation channel. Wiley New York, 2000.
[30]
B. Raney, A. Voellmy, N. Cetin, M. Vrtic, and K. Nagel. Towards a microscopic traffic simulation of all of Switzerland. Lecture Notes in Computer Science, pages 371--380, 2002.
[31]
T. Rappaport. Wireless communications: principles and practice. Prentice Hall PTR Upper Saddle River, NJ, USA, 2001.
[32]
E. Royer, P. Melliar-Smith, and L. Moser. An analysis of the optimum node density for ad hoc mobile networks. In IEEE International Conference on Communications, 2001. ICC 2001, volume 3, 2001.
[33]
A. Saha and D. Johnson. Modeling mobility for vehicular ad-hoc networks. In Proceedings of the 1st ACM international workshop on Vehicular ad hoc networks, pages 91--92. ACM New York, NY, USA, 2004.
[34]
J. Sperling. Development and maintenance of the TIGER database: Experiences in spatial data sharing at the US Bureau of the Census. Sharing geographic information, pages 377--396, 1995.
[35]
O. K. Tonguz, W. Viriyasitavat, and F. Bai. Modeling Urban Traffic: A Cellular Automata Approach. IEEE Communications Magazine, Special Issue on Automotive Network Series, 47(5):142--150, May 2009.
[36]
W. Viriyasitavat, O. K. Tonguz, and F. Bai. Network Connectivity of VANETs in Urban Area. In IEEE SECON, 2009.
[37]
N. Wisitpongphan, F. Bai, P. Mudalige, V. Sadekar, and O. K. Tonguz. Routing in Sparse Vehicular Ad Hoc Wireless Networks. IEEE Journal on Selected Areas in Communications, 25(8):1538--1556, 2007.
[38]
N. Wisitpongphan, O. K. Tonguz, J. Parikh, P. Mudalige, F. Bai, and V. Sadekar. Broadcast storm mitigation techniques in vehicular ad hoc networks. IEEE Wireless Communications, 14(6):84--94, December 2007.
[39]
T. Yamashita, K. Izumi, and K. Kurumatani. Car navigation with route information sharing for improvement of traffic efficiency. In Intelligent Transportation Systems, 2004. Proceedings. The 7th International IEEE Conference on, pages 465--470, 2004.

Cited By

View all
  • (2023)Mobility trajectory generation: a surveyArtificial Intelligence Review10.1007/s10462-023-10598-x56:Suppl 3(3057-3098)Online publication date: 1-Dec-2023
  • (2022)Optimal Path Routing Protocol for Warning Messages Dissemination for Highway VANETSensors10.3390/s2218683922:18(6839)Online publication date: 9-Sep-2022
  • (2019)DABFS: A robust routing protocol for warning messages dissemination in VANETsComputer Communications10.1016/j.comcom.2019.08.011Online publication date: Aug-2019
  • Show More Cited By

Index Terms

  1. Stereoscopic aerial photography: an alternative to model-based urban mobility approaches

    Recommendations

    Comments

    Information & Contributors

    Information

    Published In

    cover image ACM Conferences
    VANET '09: Proceedings of the sixth ACM international workshop on VehiculAr InterNETworking
    September 2009
    134 pages
    ISBN:9781605587370
    DOI:10.1145/1614269
    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]

    Sponsors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 25 September 2009

    Permissions

    Request permissions for this article.

    Check for updates

    Author Tags

    1. connectivity analysis
    2. mobility modeling
    3. urban VANETs

    Qualifiers

    • Research-article

    Conference

    VANET '09
    Sponsor:

    Acceptance Rates

    VANET '09 Paper Acceptance Rate 17 of 40 submissions, 43%;
    Overall Acceptance Rate 26 of 64 submissions, 41%

    Contributors

    Other Metrics

    Bibliometrics & Citations

    Bibliometrics

    Article Metrics

    • Downloads (Last 12 months)5
    • Downloads (Last 6 weeks)0
    Reflects downloads up to 05 Mar 2025

    Other Metrics

    Citations

    Cited By

    View all
    • (2023)Mobility trajectory generation: a surveyArtificial Intelligence Review10.1007/s10462-023-10598-x56:Suppl 3(3057-3098)Online publication date: 1-Dec-2023
    • (2022)Optimal Path Routing Protocol for Warning Messages Dissemination for Highway VANETSensors10.3390/s2218683922:18(6839)Online publication date: 9-Sep-2022
    • (2019)DABFS: A robust routing protocol for warning messages dissemination in VANETsComputer Communications10.1016/j.comcom.2019.08.011Online publication date: Aug-2019
    • (2018)Mobility Dataset Generation for Vehicular Social Networks Based on Floating Car DataIEEE Transactions on Vehicular Technology10.1109/TVT.2017.278844167:5(3874-3886)Online publication date: May-2018
    • (2018)Modeling and Analysis of Large-Scale Urban Mobility for Green TransportationIEEE Transactions on Industrial Informatics10.1109/TII.2017.278538314:4(1469-1481)Online publication date: Apr-2018
    • (2018)Vehicular Sensing Networks in a Smart CityIEEE Wireless Communications10.1109/MWC.2017.160027525:1(122-132)Online publication date: 1-Feb-2018
    • (2016)Modeling the Evolution of Line-of-Sight Blockage for V2V Channels2016 IEEE 84th Vehicular Technology Conference (VTC-Fall)10.1109/VTCFall.2016.7881090(1-7)Online publication date: Sep-2016
    • (2016)Exploring the Practical Limits of Cooperative Awareness in Vehicular CommunicationsIEEE Transactions on Vehicular Technology10.1109/TVT.2016.254493565:6(3904-3916)Online publication date: Jun-2016
    • (2015)Can ride‐sharing become attractive? A case study of taxi‐sharing employing a simulation modelling approachIET Intelligent Transport Systems10.1049/iet-its.2013.01569:2(210-220)Online publication date: Mar-2015
    • (2014)Geometry-Based Vehicle-to-Vehicle Channel Modeling for Large-Scale SimulationIEEE Transactions on Vehicular Technology10.1109/TVT.2014.231780363:9(4146-4164)Online publication date: Nov-2014
    • Show More Cited By

    View Options

    Login options

    View options

    PDF

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    Figures

    Tables

    Media

    Share

    Share

    Share this Publication link

    Share on social media