research-article

Analysis of the coupling of communication network and safety application in cooperative collision warning systems

Authors:

Yaser P. Fallah,

Masoumeh K. KhandaniAuthors Info & Claims

ICCPS '15: Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems

Pages 228 - 237

https://doi.org/10.1145/2735960.2735975

Published: 14 April 2015 Publication History

Abstract

Cooperative collision avoidance systems rely on communication between vehicles to achieve the objective of automated or human-dependent crash avoidance. In this paper we investigate the mutual coupling of communication component and the safety application in cooperative collision warning systems. These systems are warning based collision avoidance systems that are currently under field test. We present a comprehensive co-simulation modeling framework which allows modeling and study of the entire system including vehicle dynamics, communication protocols, and collision detection/warning algorithms. Using this model, we show that in designs where the safety application and communication components are designed separately and agnostic to each other, system performance requires significantly higher network resources. Alternate content- and network-aware design strategies are shown to significantly reduce the required resources, resulting in significant reliability improvements. However, the cost of such strategies is mutual coupling of the performance of safety application and communication components. We show that such coupling can be effectively controlled in desired operation ranges for each component, leading to robust systems. The presented framework introduces a method for the study of a wide spectrum of communication dependent vehicular cyber-physical systems.

References

[1]

R. Sengupta, S. Rezaei, S. E. Shladover, J. A. Misener, S. Dickey, H. Krishnan, "Cooperative Collision Warning Systems: Concept Definition and Experimental Implementation," Jnl of Intel. Transportation Systems, vol. 11, No. 3, pp. 143--155, 2007.

[2]

IEEE 802.11 WG, Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications, IEEE, Aug. 1999.

[3]

Wireless Access in Vehicular Environment (WAVE) in Standard 802.11, Specific Requirements: IEEE 802.11p/D1.0, Feb. 2006.

[4]

IEEE 1609.3 Wireless Access in Vehicular Environment: Networking Services, 2007.

[5]

Vehicle Safety Communications Consortium (VSCC), "Vehicle Safety Communications Project, Task 3 Final Report: Identify Intelligent Vehicle Safety Applications Enabled by DSRC," 2005.

[6]

Vehicle Safety Communications -- Applications (VSCA) Final Report, Tech. Rep. DOT HS 811 492A, September 2011.

[7]

Kiefer, R., Cassar, M. T., Flannagan, C. A., LeBlanc, D. J., Palmer, M. D., Deering, R. K., & Shulman, M. A. 2003. "Forward Collision Warning Requirements Project: Refining the CAMP Crash Alert Timing Approach by Examining 'Last-Second' Braking and Lane Change Maneuvers Under Various Kinematic Conditions". Report No. DOT-HS-809-574. Washington, DC: National Highway Traffic Safety Administration.

[8]

Kiefer, R. J., LeBlanc, D., Palmer, M., Salinger, J., Deering, R., & Shulman, M. 1999. "Forward Collision Warning Systems: Development and Validation of Functional Definitions and Evaluation Procedures for Collision Warning/Avoidance Systems.", Report No. DOT-HS808-964. Washington, DC: National Highway Traffic Safety Administration.

[9]

Knipling, R., Mironer, M., Hendricks, D., Tijerina, L., Everson, J., Allen, J., & Wilson, C. 1993. "Assessment of IVHS countermeasures for collision avoidance: Rear-end crashes.", DOTHS-807-995. Washington, DC: National Highway Traffic Safety Administration.

[10]

Shane B. McLaughlin, Jonathan M. Hankey, Thomas A. Dingus, and Sheila G. Klauer, 2009, "Development of an FCW Algorithm Evaluation Methodology With Evaluation of Three Alert Algorithms", DOTHS-811-145, Washington, DC: National Highway Traffic Safety Administration.

[11]

Garrick J. Forkenbrock, Bryan C. O'Harra "A Forward collision warning (FCW) Performance Evaluation", National Highway Traffic Safety Administration, Paper No. 09-0561

[12]

Najm, W. G., Mironer, M. S., Koziol, J., Wang, J., & Knipling, R. R. 1995. "Synthesis report: Examination of target vehicular crashes and potential ITS countermeasures." DOT-HS808-263. Washington, DC: National Highway Traffic Safety Administration.

[13]

K. Lee, H. Peng, 2005 "Evaluation of automotive forward collision warning and collision avoidance algorithms", Vehicle System Dynamics, Vol. 43, Iss. 10, 2005

[14]

Dingus, T. A., Klauer, S. G., Neale, V. L., Peterson, A., Lee, S. E., Sudweeks, J., Perez, M. A., Hankey, J., Ramsey, D., Gupta, S., Bucher, C., Doerzaph, Z. R., Jarmeland, J., & Knipling, R. R. 2006. "The 100-Car naturalistic driving study, Phase II -- Results of the 100-Car field experiment." Washington, DC: National Highway Traffic Safety Administration.

[15]

Yang, Q., 1997. A Simulation Laboratory for Evaluation of Dynamic Traffic Management Systems. Department of Civil and Environmental Engineering, Massachusetts Institute of Technology: 193.

[16]

S. Rezaei, R. Sengupta, H. Krishnan, X. Guan, R. Bhatia, "Tracking the Position of Neighboring Vehicles Using Wireless Communications," Elsevier Journal Transportation Research Part C: Emerging Technologies, SI on Vehicular Communication Networks, vol 18, issue 3, pp 335--350, 2010

[17]

B. Sinopoli, et. al., "Kalman Filtering with Intermittent Observations," IEEE Trans. Automat. Contr., vol. 49, no. 9, Sep 2004.

[18]

Y. Xu, J. Hespanha, "Estimation under uncontrolled and controlled communication in Networked Control Systems," Proc. of Conf. Decision and Control, Dec. 2005.

[19]

CL. Huang, Y. P. Fallah, R. Sengupta, H. Krishnan, "Adaptive InterVehicle Communication Control for Cooperative Safety Systems", IEEE Network, Vol. 24, Issue 1, pp. 6--13., Jan.--Feb. 2010

Digital Library

[20]

Y. P. Fallah, C. L. Huang, R. Sengupta and H. Krishnan, "Congestion Control based on Channel Occupancy in Dedicated Vehicular Broadcast Networks", IEEE Conf. on Veh. Tech., Fall VTC-2010

[21]

M. Torrent-Moreno, J. Mittag, P. Santi, H. Hartenstein, "Vehicle-to-Vehicle Communication: Fair Transmit Power Control for Safety-Critical Information," IEEE Trans. on Vehicular Technology, Vol 58, Issue 7, pp. 3684 - 3703, Jan 2009

[22]

Y. P. Fallah, CL Huang, R. Sengupta, H. Krishnan, "Analysis of Information Dissemination in Vehicular Ad-Hoc Networks with Application to Cooperative Vehicle Safety Systems", IEEE Trans. on Vehicular Technology, Vol 60, Issue 1, pp. 233--247, Jan 2011.

[23]

Y. P. Fallah, C. L. Huang, R. Sengupta and H. Krishnan, "Design of Cooperative Vehicle Safety Systems based on Tight Coupling of Communication, Computing and Physical Vehicle Dynamics", Proc. of ACM/IEEE Int. Conf. on Cyber-Physical Systems, ICCPS 2010

Digital Library

[24]

Moradi-Pari, E., Tahmasbi-Sarvestani, A., Fallah, Y. P., "A Hybrid Systems Approach to Modeling Real-Time Situation Awareness Component of Networked Crash Avoidance Systems", to appear in IEEE Systems Journal, 2014

[25]

Qi Chen, Daniel Jiang, Tessa Tielert, Luca Delgrossi "Mathematical Modeling of Channel Load in Vehicle Safety Communications", Proc. Of IEEE Wireless Vehicular Comm. Symp 2011.

[26]

C. L. Huang, Y. P. Fallah, R. Sengupta, H. Krishnan, "Inter-vehicle Transmission Rate Control for Cooperative Active Safety System", IEEE Trans. on Intelligent Transportation Systems, Vol 12, Iss. 3, pp 645--658, Sept. 2011

Digital Library

[27]

L. Cheng, B. E. Henty, D. 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 Frequency Band," IEEE J. Sel. Areas in Comm., vol. 25, no. 8, Oct. 2007

Digital Library

[28]

Santokh, S., 2003, "Mathematical Analysis Division, National Center for Statistics and Analysis", National Highway Traffic Safety Administration U.S. Department of Transportation, DOTHS-809-540

Cited By

Cano MGuillen-Perez ATasic IVillafranca A(2024)A Conceptual Framework for the Development of Autonomous Driving in 6G: the Role of AI and Edge Computing2023 8th International Conference on Control, Robotics and Cybernetics (CRC)10.1109/CRC60659.2023.10488509(97-105)Online publication date: 22-Dec-2024
https://doi.org/10.1109/CRC60659.2023.10488509
Jami ARazzaghpour MAlnuweiri HFallah Y(2023)Augmented driver behavior models for high‐fidelity simulation study of crash detection algorithmsIET Intelligent Transport Systems10.1049/itr2.12373Online publication date: 4-May-2023
https://doi.org/10.1049/itr2.12373
Valiente RRaftari AMahjoub HRazzaghpour MMahmud SFallah Y(2023)Context‐aware target classification with hybrid Gaussian process prediction for cooperative vehicle safety systemsIET Intelligent Transport Systems10.1049/itr2.1232717:7(1344-1362)Online publication date: 11-Jan-2023
https://doi.org/10.1049/itr2.12327
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Index Terms

Analysis of the coupling of communication network and safety application in cooperative collision warning systems
1. Information systems
  1. Information retrieval
  2. Information storage systems

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cover image ACM Conferences

ICCPS '15: Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems

April 2015

269 pages

ISBN:9781450334556

DOI:10.1145/2735960

General Chairs:
Alexandre Bayen
University of California, Berkeley
,
Michael Branicky
University of Kansas

Copyright © 2015 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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IEEE-CSS: Control Systems Society
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IEEE Signal Processing Society
ACM: Association for Computing Machinery
SIGBED: ACM Special Interest Group on Embedded Systems

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Association for Computing Machinery

New York, NY, United States

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Published: 14 April 2015

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IEEE-CSS
IEEE-CS\TCRT
ACM
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ICCPS '15: ACM/IEEE 6th International Conference on Cyber-Physical Systems

April 14 - 16, 2015

Washington, Seattle

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ICCPS '15 Paper Acceptance Rate 25 of 91 submissions, 27%;

Overall Acceptance Rate 25 of 91 submissions, 27%

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Cited By

Cano MGuillen-Perez ATasic IVillafranca A(2024)A Conceptual Framework for the Development of Autonomous Driving in 6G: the Role of AI and Edge Computing2023 8th International Conference on Control, Robotics and Cybernetics (CRC)10.1109/CRC60659.2023.10488509(97-105)Online publication date: 22-Dec-2024
https://doi.org/10.1109/CRC60659.2023.10488509
Jami ARazzaghpour MAlnuweiri HFallah Y(2023)Augmented driver behavior models for high‐fidelity simulation study of crash detection algorithmsIET Intelligent Transport Systems10.1049/itr2.12373Online publication date: 4-May-2023
https://doi.org/10.1049/itr2.12373
Valiente RRaftari AMahjoub HRazzaghpour MMahmud SFallah Y(2023)Context‐aware target classification with hybrid Gaussian process prediction for cooperative vehicle safety systemsIET Intelligent Transport Systems10.1049/itr2.1232717:7(1344-1362)Online publication date: 11-Jan-2023
https://doi.org/10.1049/itr2.12327
Qian S(2022)Vehicle Collision Prediction Model on the Internet of VehiclesProceeding of 2021 International Conference on Wireless Communications, Networking and Applications10.1007/978-981-19-2456-9_53(518-530)Online publication date: 13-Jul-2022
https://doi.org/10.1007/978-981-19-2456-9_53
Elleuch IMakni ABouaziz R(2021)Cooperative Advanced Driver Assistance Systems: A Survey and Recent TrendsIntelligent Systems Design and Applications10.1007/978-3-030-71187-0_15(160-170)Online publication date: 3-Jun-2021
https://doi.org/10.1007/978-3-030-71187-0_15
Valiente RRaftari AZaman MPourmohammadi Fallah YMahmud S(2020)Dynamic Object Map Based Architecture for Robust CVS SystemsSAE Technical Paper Series10.4271/2020-01-0084Online publication date: 14-Apr-2020
https://doi.org/10.4271/2020-01-0084
Fallah Y(2019)Using Models for Communication in Cyber-Physical SystemsMission-Oriented Sensor Networks and Systems: Art and Science10.1007/978-3-319-92384-0_3(55-81)Online publication date: 19-Sep-2019
https://doi.org/10.1007/978-3-319-92384-0_3
Baghbahari MHajiakhoond N(2018)Evaluation of Estimation Approaches on the Quality and Robustness of Collision Warning SystemsSoutheastCon 201810.1109/SECON.2018.8479150(1-7)Online publication date: Apr-2018
https://doi.org/10.1109/SECON.2018.8479150
Zhu QSangiovanni-Vincentelli A(2018)Codesign Methodologies and Tools for Cyber–Physical SystemsProceedings of the IEEE10.1109/JPROC.2018.2864271106:9(1484-1500)Online publication date: Sep-2018
https://doi.org/10.1109/JPROC.2018.2864271
Zheng BSayin MLin CShiraishi SZhu QParameswaran S(2017)Timing and security analysis of VANET-based intelligent transportation systemsProceedings of the 36th International Conference on Computer-Aided Design10.5555/3199700.3199836(984-991)Online publication date: 13-Nov-2017
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