Model Based Systems Engineering for Sustainable Autonomous Vehicle Design and Development

Authors

  • Hassan Raza Royal College of Sciences Chakwal, Rawalpindi Road Chakwal, Pakistan Author
  • Esha Deol Princess Margaret Secondary School, 12870 72 Ave Surrey, BC V3W 2M9, Canada Author
  • Sanjana Hedge Oxford Academy, 5172 Orange Ave, Cypress, CA 90630, United States of America Author
  • Hassan Tanvir International School Lahore, DHA Phase 5 Lahore, Pakistan Author

DOI:

https://doi.org/10.60087/jklst.v3.n4.p188

Abstract

Model Based System Engineering (MBSE), introduced in the 2000s, has become a cornerstone for automobile companies like BMW, Toyota, and others prominently involved in the development of autonomous vehicles. MBSE is a unique systematic approach that uses designs and architecture instead of traditional document-centric methods. While the integration of MBSE in autonomous systems shows great promise for system development, there are still drawbacks due to the process of its complex integration. Currently, the engineering community is shifting its approach in systems engineering from document-based system engineering to MBSE. The shift has provided numerous advantages, one example being the enhancement of safety and security using Systems Modeling Language (SysML). Additionally, the continuous verification and validation of the system allowed by MBSE ensures that communication protocols meet real-time constraints. This study aims to address how MBSE can be used in autonomous vehicle development to improve functionality, secure connectivity, vehicle certification and enhance trust/confidence. Additionally, exploring how to overcome challenges such as streamlining existing requirements, test identification, navigating multi-perspective simulation, and improving vehicle-to-vehicle (V2V) communication. By using practical and multi-dimensional methods, formalisms, and applications, the future of MBSE shows great potential as a fundamental component to support effective, collaborative, and successful autonomous development environments.

Downloads

Download data is not yet available.

References

“Autonomous Driving Technology - Learn more about us,” Waymo. https://waymo.com/about/

‌2. Tesla, “Autopilot and Full Self-Driving Capability,” Tesla.com, 2024. https://www.tesla.com/support/autopilot

H. Boeriu, “IIHS Gives BMW, Tesla and 9 Others, Automated Driving Systems Low Ratings,” BMW BLOG, Mar. 12, 2024. https://www.bmwblog.com/2024/03/12/iihs-bmw-tesla-automated-driving-systems-low-ratings/ (accessed Jun. 29, 2024).

“SysML Forum: SysML + MBSE Overview - What You Need to Know,” SysML Forum. https://sysmlforum.com/sysml-overview/ (accessed Jun. 29, 2024).

‌5. “Automotive Design Challenges and the power of MBSE - Thought Leadership,” blogs.sw.siemens.com, Nov. 23, 2022. https://blogs.sw.siemens.com/thought-leadership/2022/11/23/automotive-design-challenges-and-the-power-of-mbse/

‌6. “ISO 26262-1:2018: Road Vehicles — Functional Safety — Part 1: Vocabulary,” www.linkedin.com. https://www.linkedin.com/pulse/iso-26262-12018-road-vehicles-functional-safety-part-1-ravi-sharma-puwgc

Y. Li, W. Liu, Q. Liu, X. Zheng, K. Sun, and C. Huang, “Complying with ISO 26262 and ISO/SAE 21434: A Safety and Security Co-Analysis Method for Intelligent Connected Vehicle,” Sensors, vol. 24, no. 6, pp. 1848–1848, Mar. 2024, doi: https://doi.org/10.3390/s24061848.

‌. P. Koopman, U. Ferrell, F. Fratrik, and M. Wagner, “A Safety Standard Approach for Fully Autonomous Vehicles,” Lecture Notes in Computer Science, pp. 326–332, 2019, doi: https://doi.org/10.1007/978-3-030-26250-1_26.

‌9. C. Jung, D. Lee, S. Lee, and D. H. Shim, “V2X-Communication-Aided Autonomous Driving: System Design and Experimental Validation,” Sensors, vol. 20, no. 10, p. 2903, May 2020, doi: https://doi.org/10.3390/s20102903.

S. Wolny, A. Mazak, C. Carpella, V. Geist, and M. Wimmer, “Thirteen years of SysML: a systematic mapping study,” Software and Systems Modeling, vol. 19, no. 1, pp. 111–169, May 2019, doi: https://doi.org/10.1007/s10270-019-00735-y.

N. V. Hien, N. V. He, V.-T. Truong, and N.-T. Bui, “A MBSE Application to Controllers of Autonomous Underwater Vehicles Based on Model-Driven Architecture Concepts,” Applied Sciences, vol. 10, no. 22, p. 8293, Nov. 2020, doi: https://doi.org/10.3390/app10228293.

‌2. R. A. Osman, “Optimizing Autonomous Vehicle Communication through an Adaptive Vehicle-to-Everything (AV2X) Model: A Distributed Deep Learning Approach,” Electronics, vol. 12, no. 19, p. 4023, Jan. 2023, doi: https://doi.org/10.3390/electronics12194023.

‌13. S. Pendleton et al., “Perception, Planning, Control, and Coordination for Autonomous Vehicles,” Machines, vol. 5, no. 1, p. 6, Feb. 2017, doi: https://doi.org/10.3390/machines5010006.

A. M. Madni and M. Sievers, “Model-based systems engineering: Motivation, current status, and research opportunities,” Systems Engineering, vol. 21, no. 3, pp. 172–190, May 2018, doi: https://doi.org/10.1002/sys.21438.

‌15. H. J. Pandya et al., “Label-free electrical sensing of bac-teria in eye wash samples: A step towards point-of-care detec-tion of pathogens in patients with infectious keratitis,” Biosensors and Bioelectronics, vol. 91, pp. 32–39, May 2017, doi: https://doi.org/10.1016/j.bios.2016.12.035.

Kulkarni S, Dhingra K, Verma S., "Applications of CMUT Technology in Medical Diagnostics: From Photoacoustic to Ultrasonic Imaging", International Journal of Science and Research (IJSR), Volume 13 Issue 6, June 2024, pp. 1264-1269, https://www.ijsr.net/ar-chive/v13i6/SR24619062609.pdf.

‌17. Gupte, P.; Dhingra, K.; Saloni , V. Precision Gene Editing Strategies With CRISPR-Cas9 for Advancing Cancer Immunotherapy and Alzheimer’s Disease. J. Knowl. Learn. Sci. Technol. 2024, 3 (4), 11-21. https://doi.org/10.60087/jklst.v3.n4.p11.

‌18. S. Japs, H. Anacker, and R. Dumitrescu, “SAVE: Security & safety by model-based systems engineering on the example of automotive industry,” Procedia CIRP, vol. 100, pp. 187–192, 2021, doi: https://doi.org/10.1016/j.procir.2021.05.053.

‌19. S. Abbasi and A. M. Rahmani, “Artificial Intelligence and Software Modeling Approaches in Autonomous Vehicles for Safety Management: A Systematic Review,” Information, vol. 14, no. 10, p. 555, Oct. 2023, doi: https://doi.org/10.3390/info14100555.

‌20. J. D’Ambrosio et al., “An MBSE Approach for Development of Resilient Automated Automotive Systems,” Systems, vol. 7, no. 1, p. 1, Jan. 2019, doi: https://doi.org/10.3390/systems7010001.

‌21. F. M. Dambietz, C. Rennpferdt, M. Hanna, and D. Krause, “Using MBSE for the Enhancement of Consistency and Continuity in Modular Product-Service-System Architectures,” Systems, vol. 9, no. 3, p. 63, Aug. 2021, doi: https://doi.org/10.3390/systems9030063.

‌22. H. J. Pandya et al., “A microfluidic platform for drug screening in a 3D cancer microenvironment,” Biosensors and Bioelectronics, vol. 94, pp. 632–642, Aug. 2017, doi: https://doi.org/10.1016/j.bios.2017.03.054.

‌23. M. Safavieh et al., “Paper microchip with a graphene-modified silver nano-composite electrode for electrical sens-ing of microbial pathogens,” Nanoscale, vol. 9, no. 5, pp. 1852–1861, 2017, doi: https://doi.org/10.1039/c6nr06417e.

‌24. GhavamiNejad P, GhavamiNejad A, Zheng H, Dhingra K, Samarikhalaj M, Poudineh M., “A Conductive Hydrogel Mi-croneedle‐Based Assay Integrating PEDOT:PSS and Ag‐Pt Nanoparticles for Real‐Time, Enzyme‐Less, and Electro-chemical Sensing of Glucose,” Advanced Healthcare Materi-als, vol. 12, no. 1, Oct. 2022, doi: https://doi.org/10.1002/adhm.202202362.

S. Odinotski et al., “A Conductive Hydrogel‐Based Mi-croneedle Platform for Real‐Time pH Measurement in Live Animals,” Small, vol. 18, no. 45, Sep. 2022, doi: https://doi.org/10.1002/smll.202200201.

‌26. Kazim, I.; Gande, T.; Reyher, E. .; Gyatsho Bhutia, K. .; Dhingra, K.; Verma, S. Advancements in Sequencing technologies:: From Genomic Revolution to Single-Cell Insights in Precision Medicine. J. Knowl. Learn. Sci. Technol. 2024, 3 (4), 108-124. https://doi.org/10.60087/jklst.v3.n4.p108.

‌7. B. Moye, “AAA: Fear of Self-Driving Cars Persists as Industry Faces an Uncertain Future,” AAA Newsroom, Mar. 14, 2024. https://newsroom.aaa.com/2024/03/aaa-fear-of-self-driving-cars-persists-as-industry-faces-an-uncertain-future/ (accessed Apr. 13, 2024).

‌8. Pundlik, A.; Verma, S.; Dhingra, K. Neural Pathways Involved in Emotional Regulation and Emotional Intelligence. J. Knowl. Learn. Sci. Technol. 2024, 3 (3), 165-192. https://doi.org/10.60087/jklst.vol3.n3.p.165-192.

Periketi, P.; Kaur, K. .; Naseer Vaid, F. .; Sree M, Y. .; Madhu, M. .; Verma, S. .; Dhingra, K. . Blood Brain Barrier-on-a-Chip Permeation to Model Neurological Diseases Using Microfluidic Biosensors. J. Knowl. Learn. Sci. Technol. 2024, 3 (4), 78-93. https://doi.org/10.60087/jklst.v3.n4.p78.

‌0. Ruthwik Guntupalli, Saloni Verma and Karan Dhingra 2024. Impact of Healthcare Digitization: Systems Approach for Integrating Biosensor Devices and Electronic Health with Artificial Intelligence. American Scientific Research Journal for Engineering, Technology, and Sciences. 98, 1 (Aug. 2024), 246–257, https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/10786/2789.

‌31. “Modernizing the automotive industry: Creating a seamless customer experience,” MIT Technology Review. https://www.technologyreview.com/2023/05/25/1073154/modernizing-the-automotive-industry-creating-a-seamless-customer-experience/

‌32. Mehta, A.; Alaiashy, O.; Kumar, P.; Tamilinian, V.; Besong, S.; Balpande, S.; Verma, S.; Dhingra, K. Advancing Model-Based Systems Engineering in Biomedical and Aerospace research:: A Comprehensive Review and Future Directions. J. Knowl. Learn. Sci. Technol. 2024, 3 (4), 133-147. https://doi.org/10.60087/jklst.v3.n4.p133.

‌3. M. Kremer, S. Christiaens, C. Granrath, and M.-A. Meyer, “Scenario- and Model-based Systems Engineering for Highly Automated Driving,” ATZ worldwide, vol. 122, no. 12, pp. 16–21, Nov. 2020, doi: https://doi.org/10.1007/s38311-020-0330-x.

Carsten Wiecher et al., “Model‐based analysis and specification of functional requirements and tests for complex automotive systems,” Systems engineering, Feb. 2024, doi: https://doi.org/10.1002/sys.21748.

Downloads

Published

25-12-2024

How to Cite

Raza, H., Deol, E., Hedge, S., & Tanvir, H. (2024). Model Based Systems Engineering for Sustainable Autonomous Vehicle Design and Development. Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online), 3(4), 188-199. https://doi.org/10.60087/jklst.v3.n4.p188

Most read articles by the same author(s)

1 2 3 4 5 6 7 8 9 10 > >>