The Role of Computer Engineering in Modern Vehicle Design Manufacturing and Operation

Authors

  • BYIMANA Jean Bosco Author
  • S.M SHAHABUDDIN Author
  • MOHAMMED MUSHFIQUR RAHMAN Author
  • MAISA BINTHA MAHMUD Author
  • MST KANIJ SUBARNA ANIKA Author
  • Abir Hasan Author
  • Abid Hasan Author

DOI:

https://doi.org/10.61424/6y40t224

Keywords:

Computer Engineering, Embedded Systems, Modern Vehicles, Automotive Electronics, ECU, Vehicle Automation, Intelligent Transportation Systems

Abstract

This paper discusses the use of computer engineering in contemporary vehicle systems with emphasis on how it has been used in the designing, manufacturing, and operation of vehicles. The paper emphasizes the way in which conventional mechanical cars have changed to sophisticated cyber-physical systems with the incorporation of embedded systems, microcontrollers, sensors, and communication technologies, including the CAN bus. The qualitative and analytical methodology was employed, which was based on secondary data, which was gathered from academic journals, industry reports, and technical documentation. The findings indicate that computer engineering can help improve vehicle performance significantly in the areas of automation, safety, efficiency, and real-time decision-making. During the design phase, computer-aided tools and simulation systems enhance accuracy and shorten the time of development. Robotic automation and sensor-based systems enhance precision and efficiency in production in manufacturing. Electronic control units and embedded software are implemented during operation to provide intelligent control of important functions like engine management, braking, and stability systems. Future directions as presented in the study are also autonomous driving, integration of artificial intelligence, and cybersecurity in smart vehicles. Altogether, the study ends with the conclusion that computer engineering is one of the main pillars of contemporary automotive systems and its importance in the production of intelligent and sustainable transportation technologies.

References

Alshdadi AA. (2021) Cyber-physical system with IoT-based smart vehicles. Soft Comput. 2021;25(18):12261-12273. doi:10.1007/s00500-021-05908-w

Bazzi A, Shaout A, Ma D. (2023) MT-SOTA: A Merkle-Tree-Based Approach for Secure Software Updates over the Air in Automotive Systems. Applied Sciences. 2023;13(16):9397. doi:10.3390/app13169397

Bradley J and Atkins E. (2019) Optimization and Control of Cyber-Physical Vehicle Systems. Sensors. 2015;15(9):23020-23049. doi:10.3390/s150923020

Li C, Khandelwal S and Shanker S. (2025) FAV-NSS: An HIL Framework for Accelerating Validation of Automotive Network Security Strategies. arXiv. Preprint posted online May 21, 2025:arXiv:2505.15393. doi:10.48550/arXiv.2505.15393

Li L, Li X, Hu Y and Song D. (2026) Application of deep learning in product lifecycle of automotive parts. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. 2026;240(7):3920-3939. doi:10.1177/09544070251351665

Liu L, Lu S and Zhong R, et al. (2020) Computing Systems for Autonomous Driving: State-of-the-Art and Challenges. arXiv. Preprint posted online December 7, 2020:arXiv:2009.14349. doi:10.48550/arXiv.2009.14349

Lv C, Hu X, Sangiovanni-Vincentelli A, Li Y, Martinez CM and Cao D. (2019) Driving-Style-Based Codesign Optimization of an Automated Electric Vehicle: A Cyber-Physical System Approach. IEEE Trans Ind Electron. 2019;66(4):2965-2975. doi:10.1109/TIE.2018.2850031

Park J, Min KM, Kim H, Hong S and Lee M. (2023) Integrated Computational Materials Engineering for Advanced Automotive Technology: With Focus on Life Cycle of Automotive Body Structure. Adv Materials Technologies. 2023;8(20):2201057. doi:10.1002/admt.202201057

Sedat S, Cosmas D D, Femi O, Ayodeji M M, Emmanuel A E and Akoh A. (2024) The evolution of embedded systems in automotive industry: A global review. World J Adv Res Rev. 2024;21(2):096-104. doi:10.30574/wjarr.2024.21.2.0420

Usama F and Tahir M. (2025) THE ROLE OF ARTIFICIAL INTELLIGENCE IN IMPROVING INDUSTRIAL AUTOMATION AND EFFICIENCY: A CASE STUDY OF THE AUTOMOTIVE INDUSTRY. Pak Adv Eng Res J. 2025;2(2):77-87. doi:10.64038/paer2.2025.20

Xu H, Liu F, Wang J and Li Y. (2025) Design of Robot System Integrated Simulation Platform Based on Automobile Intelligent Production Line--Taking the Automotive Roof Cover as an example. In: 2025 7th International Conference on Information Science, Electrical and Automation Engineering (ISEAE). IEEE; 2025:1061-1066. doi:10.1109/ISEAE64934.2025.11041969

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Published

2026-09-30