Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
140 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
46 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Spatiotemporal Analysis of Shared Situation Awareness among Connected Vehicles (2404.06902v1)

Published 10 Apr 2024 in eess.SY and cs.SY

Abstract: Shared situation awareness (SSA) has been garnering explosive interest in various applications for intelligent transportation systems (ITS). In addition, the delay-constrained nature of supporting vehicular networks makes it critical to precisely analyze the performance of a SSA procedure. Extending the relevant literature, this paper provides an analysis framework that evaluates the performance of SSA in spatial and temporal aspects simultaneously. Specifically, this paper provides a closed-form probability distribution for the length of time taken for constitution of a SSA among a group of connected vehicles. This paper extends the calculation to investigation of feasibility of SSA in supporting various types of safety messages defined by the SAE J2735.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (32)
  1. J. Zhang, F.-Y. Wang, K. Wang, W.-H. Lin, X. Xu, and C. Chen, “Data-driven intelligent transportation systems: a survey,” IEEE Trans. Intell. Transp. Syst., vol. 12, no. 4, Dec. 2011.
  2. U.S. FCC “First report and order, further notice of proposed rulemaking, and order of proposed modification,” FCC20-164, Nov. 2020. [Online]. Available: https://docs.fcc.gov/public/attachments/FCC-20-164A1.pdf
  3. S. Kim and C. Dietrich, “A novel method for evaluation of coexistence between DSRC and Wi-Fi at 5.9 GHz,” in Proc. IEEE Global Commun. Conf. (Globecom) 2018.
  4. S. Kim and T. Dessalgn, “Mitigation of civilian-to-military interference in DSRC for urban operations,” in Proc. IEEE Military Commun. Conf. (MILCOM) 2019.
  5. L. Thompson and S. Kim, “In-lab implementation of DSRC PHY layer,” in Proc. IEEE SoutheastCon 2024, To Appear.
  6. IEEE, “802.11p-2010—IEEE Standard for Information technology–Local and metropolitan area networks–Specific requirements–Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications Amendment 6: Wireless Access in Vehicular Environments,” IEEE 802.11p Standard, Jun. 2010.
  7. A. Hajisami, J. Lansford, A. Dingankar and J. Misener, “A tutorial on the LTE-V2X Direct Communication,” in IEEE Open J. Veh. Technol., vol. 3, 2022.
  8. D. Sunuwar, S. Kim, and Z. Reyes, “Is 30 MHz enough for C-V2X?,” in Proc. IEEE Veh. Technol. Conf. (VTC) 2023-Fall.
  9. D. Sunuwar and S. Kim, “Cross-layer performance evaluation of C-V2X,” in Proc. IEEE SoutheastCon 2024, To Appear.
  10. L. Saner, C. Bolstad, C. Gonzalez, and H. Cuevas, “Measuring and predicting shared situation awareness in teams,” J. Cognitive Eng. Decision Making, Sep. 2009.
  11. S. Kim and M. Bennis, “Spatiotemporal analysis on broadcast performance of DSRC with external interference in 5.9 GHz band,” arXiv:1912.02537, Dec. 2019.
  12. J. Wang and D. Soffker, “Bridging gaps among human, assisted, and automated driving with DVIs: a conceptional experimental study,” IEEE Trans. Intell. Transp. Syst., vol. 20, no. 6, Jun. 2019.
  13. Y. Hwang and S. B. Choi, “Adaptive collision avoidance using road friction information,” IEEE Trans. Intell. Transp. Syst., vol. 20, no. 1, Jan. 2019.
  14. D. Cavaliere, J. A. Morente-Molinera, V. Loia, S. Senatore, and E. Herrera-Viedma, “Collective scenario understanding in a multi-vehicle system by consensus decision making,” IEEE Trans. Fuzzy Syst., vol. 28, iss. 9. Sep. 2020.
  15. S.-W. Kim and W. Liu, “Cooperative autonomous driving: a mirror neuron inspired intention awareness and cooperative perception approach,” IEEE Trans. Intell. Transp. Syst., vol. 8, iss. 3, Fall 2016.
  16. R. Ojala, J. Vepsalainen, J. Hanhirova, V. Hirvisalo, and K. Tammi, “Novel convolutional neural network-based roadside unit for accurate pedestrian localisation,” IEEE Trans. Intell. Transp. Syst., vol. 21, no. 9, Sep. 2020.
  17. B. Hamdaoui, M. Alkalbani, T. Znati, and A. Rayes, “Unleashing the power of participatory IoT with blockchains for increased safety and situation awareness of smart cities,” IEEE Netw., vol. 34, iss. 2, Mar./Apr. 2020.
  18. Z. Tong, H. Lu, M. Haenggi, and C. Poellabauer, “A stochastic geometry approach to the modeling of DSRC for vehicular safety communication,” IEEE Trans. Intell. Transp. Syst., vol. 17, no. 5, May 2016.
  19. S. Kim, “Impacts of mobility on performance of blockchain in VANET,” IEEE Access, vol. 7, May 2019.
  20. S. Srinivasa and M. Haenggi, “Distance distributions in finite uniformly random networks: theory and applications,” IEEE Trans. Veh. Technol., vol. 59, no. 2, Feb. 2010.
  21. IEEE 802.11, “IEEE P802.11 - next generation V2X (NGV) study group (SG),” [Online]. Available: http://www.ieee802.org/11/Reports/ngvsgupdate.htm
  22. 3GPP, “3GPP TR 22.886: study on enhancement of 3GPP support for 5G V2X services (v16.2.0, Release 16),” Dec. 2018.
  23. S. Kim and B. J. Kim, “Crash risk-based prioritization of basic safety message in DSRC,” IEEE Access, vol. 8, Nov. 2020.
  24. P. G. Moschopoulos, “The distribution of the sum of independent gamma random variables,” Ann. Inst. Statist. Math., vol. 37, no. 3, Dec. 1985.
  25. D. Wojtczak, “On strong NP-completeness of rational problems,”arXiv:1802.09465, Feb. 2018.
  26. A. Singh, T. Das, P. Maniatis, P. Druschel, and T. Roscoe, “BFT protocols under fire,” in Proc. USENIX NSDI 2008.
  27. K. Lee, J. Kim, Y. Park, H. Wang, and D. Hong, “Latency of cellular-based V2X: Perspectives on TTI-proportional latency and TTI-independent latency,” IEEE Access, vol. 5, Aug. 2017.
  28. SAE, “V2X communications message set dictionary,” SAE J2735, Sep. 2023.
  29. S. Kim, B. J. Kim, and B. Park, “Environment-adaptive multiple access for distributed V2X network: A reinforcement learning framework,” in Proc. IEEE Veh. Technol. Conf. (VTC) 2021-Spring.
  30. S. Kim and B. J. Kim, “On the Byzantine-fault-tolerant consensus in blockchain built on internet of vehicles,” in Proc. IEEE Int. Conf. Electron. Inform. Commun. (ICEIC) 2022.
  31. S. Kim and A. S. Ibrahim, “Byzantine-fault-tolerant consensus via reinforcement learning for permissioned blockchain implemented in a V2X network,” IEEE Trans. Intell. Veh., vol. 8, iss. 1, Jan. 2023.
  32. S. Kim, “Is wireless bad for consensus in blockchain?” in Proc. IEEE Int. Conf. Blockchain Cryptocurrency (ICBC) 2024, To Appear.

Summary

We haven't generated a summary for this paper yet.

Ai Sparkles Streamline Icon: https://streamlinehq.com Summarize Now