skip to main content
10.1145/3615979.3656054acmconferencesArticle/Chapter ViewAbstractPublication PagespadsConference Proceedingsconference-collections
research-article
Open access

VEhicular Secure Network Open Simulator (VESNOS): A Cyber-security oriented co-simulation platform for connected and automated driving

Published: 24 June 2024 Publication History

Abstract

Connected vehicles are a big part of the automotive industry’s overall growth trend that may be utilized to improve transportation safety, expand mobility options, lower expenses, and provide new job possibilities. Thus, a complete examination of connected driving is required before the large-scale implementation in reality, which may be done affordably and efficiently using a reliable simulation platform. Current traffic simulators ease the research and development of connected vehicles by offering incremental enhancements to traditional traffic flow modeling approaches, which cannot replicate the features of real-world connected vehicles. Moreover, current standard security features that are used by the U.S. Department of Transportation or other research entities are not considered. Network-level evaluation incorporating large-scale traffic networks and Vehicle-To-Everything (V2X) communications should also be addressed. This study develops a novel and comprehensive co-simulation platform for conventional, connected, and automated driving that tightly integrates the main components of V2X communications, cyber-security protocol, traffic networks, and conventional vehicle models. Three major open-source components, SUMO, OMNeT++, and security credential management system (SCMS) based V2X simulator, are integrated and interconnected via the Traffic Control Interface (TraCI). The whole simulation platform can be deployed in a Client/Server model. Case studies show that the proposed platform provides an appropriate and trustworthy testbed for examining the possible social/economic effects of connected driving under a security credential management system.

References

[1]
Mani Amoozadeh, Bryan Ching, Chen-Nee Chuah, and Dipak Ghosal. 2019. VENTOS: Vehicular Network Open Simulator with Hardware-in-the-Loop Support. Procedia Computer Science 151 (01 2019), 61–68. https://doi.org/10.1016/j.procs.2019.04.012
[2]
Jaume Barcelo and Jordi Casas. 2005. Dynamic network simulation with AIMSUN. Vol. 31. 57–98. https://doi.org/10.1007/0-387-24109-4_3
[3]
Rimon Barr, Zygmunt J. Haas, and Robbert van Renesse. 2003. JiST : Embedding Simulation Time into a Virtual Machine. https://api.semanticscholar.org/CorpusID:6921095
[4]
Michael Behrisch, Laura Bieker-Walz, Jakob Erdmann, and Daniel Krajzewicz. 2011. SUMO – Simulation of Urban MObility: An Overview. Proceedings of SIMUL 2011.
[5]
Benedikt Brecht, Dean Therriault, André Weimerskirch, William Whyte, Virendra Kumar, Thorsten Hehn, and Roy Goudy. 2018. A Security Credential Management System for V2X Communications. arxiv:1802.05323 [cs.CR]
[6]
Elmar Brockfeld and Peter Wagner. 2002. Testing and Benchmarking of Microscopic Traffic Flow Models. Proceedings of the Computional Physics Conference, 775–776.
[7]
eclipse.org. [n. d.]. Simulation of Urban MObility.
[8]
Martin Fellendorf and Peter Vortisch. 2011. Microscopic traffic flow simulator VISSIM. 63–93. https://doi.org/10.1007/978-1-4419-6142-6_2
[9]
Paweł Gora, Christos Katrakazas, Arkadiusz Drabicki, Faqhrul Islam, and Piotr Ostaszewski. 2020. Microscopic traffic simulation models for connected and automated vehicles (CAVs) – state-of-the-art. Procedia Computer Science 170 (2020), 474–481. https://doi.org/10.1016/j.procs.2020.03.091 The 11th International Conference on Ambient Systems, Networks and Technologies (ANT) / The 3rd International Conference on Emerging Data and Industry 4.0 (EDI40) / Affiliated Workshops.
[10]
Mikhail Gordon. 1986. EMME/2: A NEW GENERATION IN TRANSPORTATION PLANNING. Mass Transit 13 (1986). https://api.semanticscholar.org/CorpusID:107655608
[11]
Brian Gough. 2009. GNU scientific library reference manual. Network Theory Ltd.
[12]
Constantine Grantcharov. 2018. ASN.1 definitions for data containers and protocols used in SCMS. https://github.com/conz27/crypto-test-vectors
[13]
Habib Haj-Salem, Nacef Elloumi, Saïd Mammar, Markos Papageorgiou, John Chrisoulakis, and Frans Middelham. 1994. METACOR: A MACROSCOPIC MODELLING TOOL FOR URBAN CORRIDOR. https://api.semanticscholar.org/CorpusID:107184016
[14]
John S. Heidemann, N. Bulusu, Jeremy Elson, Chalermek Intanagonwiwat, Kun-Chan Lan, Ya Xu, Wei Ye, Deborah Estrin, and Ramesh Govindan. 2001. Effects of Detail in Wireless Network Simulation. https://api.semanticscholar.org/CorpusID:14686107
[15]
Rasheed Hussain and Sherali Zeadally. 2019. Autonomous Cars: Research Results, Issues, and Future Challenges. IEEE Communications Surveys Tutorials 21, 2 (2019), 1275–1313. https://doi.org/10.1109/COMST.2018.2869360
[16]
Dongyao(Tony) Jia, Jie Sun, Anshuman Sharma, Zuduo Zheng, and Bingyi Liu. 2020. Integrated simulation platform for conventional, connected and automated driving: A design from cyber-physical systems perspective. https://doi.org/10.13140/RG.2.2.20923.98085
[17]
John B. Kenney. 2011. Dedicated Short-Range Communications (DSRC) Standards in the United States. Proc. IEEE 99, 7 (2011), 1162–1182. https://doi.org/10.1109/JPROC.2011.2132790
[18]
Stefan Krauss. 1998. MICROSCOPIC MODELING OF TRAFFIC FLOW: INVESTIGATION OF COLLISION FREE VEHICLE DYNAMICS.https://api.semanticscholar.org/CorpusID:111793371
[19]
Levente Mészáros, Andras Varga, and Michael Kirsche. 2019. INET Framework. 55–106. https://doi.org/10.1007/978-3-030-12842-5_2
[20]
Kai Nagel and Michael Schreckenberg. 1992. A cellular automaton model for freeway traffic. Journal de Physique I 2 (12 1992), 2221. https://doi.org/10.1051/jp1:1992277
[21]
ITS Cybersecurity Research Program. 2017. Security Credential Management System (SCMS) Proof–of–Concept Implementation End-Entity (EE). https://www.its.dot.gov/research_areas/cybersecurity/scms/
[22]
Amir Masoud Rahimi, Maxim A. Dulebenets, and Arash Mazaheri. 2021. Evaluation of Microsimulation Models for Roadway Segments with Different Functional Classifications in Northern Iran. Infrastructures 6, 3 (2021). https://doi.org/10.3390/infrastructures6030046
[23]
George F. Riley and Thomas R. Henderson. 2010. The ns-3 Network Simulator. In Modeling and Tools for Network Simulation. https://api.semanticscholar.org/CorpusID:46340499
[24]
A.G. Sims, Development National Energy Research, Demonstration Program (Australia), Australia. Department of Resources, Energy, and New South Wales. Department of Main Roads. 1984. SCATSIM: An Interactive Computer Model of a Road System. Department of Resources and Energy. https://books.google.com/books?id=EWFFYAAACAAJ
[25]
A. Sobeih, J.C. Hou, Lu-Chuan Kung, Ning Li, Honghai Zhang, Wei-Peng Chen, Hung-Ying Tyan, and Hyuk Lim. 2006. J-Sim: a simulation and emulation environment for wireless sensor networks. IEEE Wireless Communications 13, 4 (2006), 104–119. https://doi.org/10.1109/MWC.2006.1678171
[26]
Christoph Sommer, Reinhard German, and Falko Dressler. 2011. Bidirectionally Coupled Network and Road Traffic Simulation for Improved IVC Analysis. IEEE Transactions on Mobile Computing 10, 1 (2011), 3–15. https://doi.org/10.1109/TMC.2010.133
[27]
Nicholas Taylor. 2003. The CONTRAM dynamic traffic assignment model. Networks and Spatial Economics 3 (10 2003), 297–322. https://doi.org/10.1023/A:1025394201651
[28]
Martin Treiber and Dirk Helbing. 2002. Realistische Mikrosimulation von Straßenverkehr mit einem einfachen Modell. (01 2002).
[29]
Martin Treiber, Ansgar Hennecke, and Dirk Helbing. 2000. Congested traffic states in empirical observations and microscopic simulations. Physical Review E 62, 2 (aug 2000), 1805–1824. https://doi.org/10.1103/physreve.62.1805
[30]
András Varga. 2001. The OMNET++ discrete event simulation system. Proc. ESM’2001 9 (01 2001).
[31]
Andras Varga. 2010. OMNeT++. Springer Berlin Heidelberg, Berlin, Heidelberg, 35–59. https://doi.org/10.1007/978-3-642-12331-3_3
[32]
Axel Wegener, Michal Piorkowski, Maxim Raya, Horst Hellbrück, Stefan Fischer, and Jean-Pierre Hubaux. 2008. TraCI: An Interface for Coupling Road Traffic and Network Simulators. Proceedings of the 11th Communications and Networking Simulation Symposium, CNS’08 (04 2008). https://doi.org/10.1145/1400713.1400740
[33]
Ning Wu and Werner Brilon. 1999. Cellular Automata for Highway Traffic Flow Simulation. Proceedings 14th International Symposium on Transportation and Traffic Theory (Abbreviated presentations) (01 1999).
[34]
Xuanpeng Zhao, Xishun Liao, Ziran Wang, Guoyuan Wu, Matthew Barth, Kyungtae Han, and Prashant Tiwari. 2021. Co-Simulation Platform for Modeling and Evaluating Connected and Automated Vehicles and Human Behavior in Mixed Traffic. (11 2021). https://doi.org/10.47953/SAE-PP-00206

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
SIGSIM-PADS '24: Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation
June 2024
155 pages
ISBN:9798400703638
DOI:10.1145/3615979
This work is licensed under a Creative Commons Attribution International 4.0 License.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 June 2024

Check for updates

Author Tags

  1. Co-Simulation Platform
  2. Connected Vehicles
  3. Cyber-security
  4. Security Credential Management System.

Qualifiers

  • Research-article
  • Research
  • Refereed limited

Conference

SIGSIM-PADS '24
Sponsor:

Acceptance Rates

Overall Acceptance Rate 398 of 779 submissions, 51%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 253
    Total Downloads
  • Downloads (Last 12 months)253
  • Downloads (Last 6 weeks)90
Reflects downloads up to 06 Nov 2024

Other Metrics

Citations

View Options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Get Access

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media