Navigating the future: Autonomous vehicle integration challenges and opportunities in Malaysia

Charli Sitinjak, Muhammad Helmi Md Said, Jady Zaidi Hassim, Hasani Mohd Ali, Rasyikah Md Khalid

Article ID: 2995
Vol 8, Issue 4, 2024

VIEWS - 236 (Abstract) 129 (PDF)

Abstract


As autonomous vehicles (AVs) revolutionize the global transportation landscape, their implications for emerging economies like Malaysia remain a subject of significant interest. This study delves into the multifaceted world of AV technology, focusing on Malaysia’s unique transportation challenges and opportunities. Through interviews with key stakeholders and experts, the research uncovers valuable insights into AV technology’s awareness, regulatory landscape, integration hurdles, potential benefits, and inclusivity impact in the Malaysian context. The study finds that while AVs hold the promise of improved road safety, reduced traffic congestion, and enhanced environmental sustainability, addressing challenges related to regulation, infrastructure, and public acceptance is imperative for successful integration. Additionally, AV technology has the potential to significantly enhance inclusivity in transportation, benefiting individuals with disabilities. The study underscores the need for holistic policy and infrastructure development to leverage the benefits of AV technology and pave the way for a sustainable and inclusive transportation future in Malaysia.


Keywords


autonomous vehicles; AV integration; transportation challenges; Malaysia; regulatory framework; environmental sustainability; inclusivity; key stakeholders

Full Text:

PDF


References


Abu Kassim KA, Mohd Jawi Z, Nasruddin MA (2021a). Is Malaysia ready to adopt autonomous vehicles? Journal of the Society of Automotive Engineers Malaysia 3(1): 84–88. doi: 10.56381/jsaem.v3i1.102

Abu Kassim KA, Nasruddin MA, Mohd Jawi Z (2021b). Assessing the public opinion on autonomous vehicles in Malaysia. Journal of the Society of Automotive Engineers Malaysia 3(2): 148–156. doi: 10.56381/jsaem.v3i2.115

Alexander J, Blake S, Clasby B, et al. (2012). Machine vision and autonomous integration into an unmanned aircraft system. International Telemetering Conference Proceedings 48.

Anwar AKK, Hanis HH, Amirudin MRM, et al. (2017). Advancement in Vehicle Safety in Malaysia from Planning to Implementation. Asian Transport Studies 4(4): 704–714. doi: 10.11175/eastsats.4.704

Arifin B, Suprapto BY, Prasetyowati SAD, Nawawi Z (2019). The lateral control of autonomous vehicles: A review. In: Proceedings of the 3rd International Conference on Electrical Engineering and Computer Science (ICECOS 2019); 02–03 October 2019; Batam, Indonesia.

Arshad NM, Razak NA (2012). Vision-based detection technique for effective line-tracking autonomus vehicle. In: Proceedings of the IEEE 8th International Colloquium on Signal Processing and its Applications (CSPA 2012); 23–25 March 2012; Malacca, Malaysia.

Azizan EA, Sukor N, Zakaria R, et al. (2022). ODP586 analysis of adrenal vein sampling (AVS) success: A retrospective study of primary aldosteronism patients at the national university of Malaysia (UKM) medical center. Journal of the Endocrine Society 6(S1): A75. doi: 10.1210/jendso/bvac150.156

Baglivo L, Tecchio F (2005). An integrated hardware/software platform for both simulation and real-time autonomus guided vehicles navigation. In: Proceedings of the 19th European Conference on Modeling and Simulation (ECMS 2005); 1–4 June 2005; Riga, Latvia.

Bobba PB, Rao RK, Chinthamaneni SSV (2022). Wireless power transfer in autonomus underwater vehicles. In: Proceedings of the 2020 IEEE PELS Workshop on Emerging Technologies: Wireless Power Transfer (WoW 2020); 15–19 November 2020; Seoul, Korea (South). pp. 246–249.

Challa R, Kamath D, Anctil A (2022). Well-to-wheel greenhouse gas emissions of electric versus combustion vehicles from 2018 to 2030 in the US. Journal of Environmental Management 308: 114592. doi: 10.1016/j.jenvman.2022.114592

Chelladurai G, Azhar AMN, Isa RM, et al. (2020). Improving cardiopulmonary resuscitation (CPR) performance using an audio-visual feedback device for healthcare providers in an emergency department setting in Malaysia: A quasi-experimental study. Medical Journal of Malaysia 75(5): 514–518.

Contreras J, Ariza M, Velásquez L, et al. (2014). Identification and adaptive fuzzy control for navigation systems of autonomus vehicles. Ciencia y Tecnología de Buques 8(15): 25. doi: 10.25043/19098642.100

Eswaramoorthi V, Suhaimi MZ, Abdullah MR, et al. (2022a). Association of physical activity with anthropometrics variables and health-related risks in healthy male smokers. International Journal of Environmental Research and Public Health 19(12): 6993. doi: 10.3390/ijerph19126993

Filaretov VF, Zhirabok AN, Zuev A (2011). The synthesis of robust feedback for diagnostic observers of navigation sensors of autonomus underwater vehicle. In: Proceedings of the 22nd International DAAM Symposium Intelligent Manufacturing & Automation: Power of Knowledge and Creativity; 23–26 November 2011; Vienna Austria.

Fugerth M, Vámossy Z (2013). Autonomus: Navigation system for mobile robot. In: Proceedings of the IEEE 9th International Conference on Computational Cybernetics (ICCC 2013); 08–10 July 2013; Tihany, Hungary. pp. 165–170.

Gao D, Zhao H, Zhuang C (2022). A method for estimating the positioning accuracy of vehicles in urban environments. In: Proceedings of the 35th International Technical Meeting of the Satellite Division of the Institute of Navigation (ION GNSS+ 2022); 19–23 September 2022; Denver, Colorado.

Gómez-Bravo F, López D, Cuesta F, Ollero A (2007). RRT-D: A motion planning approach for autonomus vehicles based on wireless sensor network information. IFAC Proceedings 40(15): 25–30. doi: 10.3182/20070903-3-fr-2921.00007

Grahle A, Song YW, Brüske K, et al. (2020). Autonomous shuttles for urban mobility on demand applications-ecosystem dependent requirement elicitation. In: Proceedings of the Design Society: DESIGN Conference. Cambridge University Press. pp. 887–896.

Grzejszczyk E (2020). Autonomous vehicles within the ITS systems. In: Research and the Future of Telematics, Proceedings of the 20th International Conference on Transport Systems Telematics (TST 2020); 27–30 October 2020; Kraków, Poland. Springer. Volume 1289, pp. 27–40.

Jähnichen G (2015). Audiovisual knowledge management and the fear of losing control. International Association of Sound and Audiovisual Archives (IASA) Journal (45). doi: 10.35320/ij.v0i45.84

Kassim KAA, Jawi ZM, Nasruddin MA (2019a). Is Malaysia ready to adopt autonomous vehicles? Journal of the Society of Automotive Engineers Malaysia 3(1).

Kassim KAA, Nasruddin MA, Jawi ZM (2019b). Assessing the public opinion on autonomous vehicles in Malaysia. Journal of the Society of Automotive Engineers Malaysia 3(2): 148–156.

Kim CS, Kim SY, Ryu JH, Lee MH (2006). LMI-based H∞ lateral control of an autonomus vehicle by look-ahead sensing. International Journal of Automotive Technology 7(5): 609–618.

Lajuardhie H, Satyawan AS, Faroqi A, Rasyid FA (2022). A steering stability control for a three-wheeled autonomus electric vehicle. In: Proceedings of the 8th International Conference on Wireless and Telematics (ICWT 2022); 21–22 July 2022; Yogyakarta, Indonesia. pp. 1–5.

Manasa S, Lekhana NP, Krishnananda (2017). A survey on autonomus car testing. International Journal of Research-GRANTHAALAYAH 5(4RACEEE): 42–47. doi: 10.29121/granthaalayah.v5.i4raceee.2017.3321

Mohamed Jamil H, Shabadin A, Hashim HH, et al. (2021). Public perception on autonomous vehicle in Malaysia. Journal of the Society of Automotive Engineers Malaysia 3(4): 8–19. doi: 10.56381/jsaem.v3i4.135

Mukherjee A, Bhaumik S, Kanti Bhattacharya S (2016). Extremity of Indian autonomus underwater vehicle: A survey. JournalNX 2(9): 44–49.

Nizam NZ, Lee SH (2018). THE IMPACT OF IMPULSE BUYING BEHAVIOR ON CUSTOMERS’ PURCHASING DECISIONS. Journal of Fundamental and Applied Sciences 10(6S): 2566-2571. doi: https://doi.org/10.4314/jfas.v10i6s.195

Oguz AE, Duymaz E (2016). Artificial potantial field based autonomus unmanned aerial vehicles flight in dynamic environment. In: Proceedings of the 16th AIAA Aviation Technology, Integration, and Operations Conference; 13–17 July 2016; Washington, D.C., US.

Othman NF, Mat Su AS, Ya’acob ME (2018). Promising potentials of agrivoltaic systems for the development of Malaysia green economy. IOP Conference Series: Earth and Environmental Science 146: 012002.

Pathak MK, Bansal A (2013). Wheeled mobile platform for stair climbing applications of unmanned ground vehicles (UGVs). In: Proceedings of the Symposium on International Automotive Technology 2013; 9–12 January 2013; Pune, India.

Petrosino F, De Stefano Fumo M, Pezzella G, Catalano P (2013). Evolution of aerodynamic shape for a concept of autonomus re-entry vehicle. In: Proceedings of the 31st AIAA Applied Aerodynamics Conference; 24–27 June 2013; San Diego, CA.

Petrova DA (2021). Military autonomus inhabited underwater vehicles: Political and legal issues. In: Kovalev IV, Voroshilova AA, Budagov AS (editors), Economic and Social Trends for Sustainability of Modern Society. European Publisher. Volume 116. pp. 726–731.

Pitarque C, Daura X (2018). Smart toll roads and integrated mobility (Spanish). Carreteras 4: 52-57.

Priyambodo TK (2018). Integral modified Linear Quadratic Regulator method for controlling lateral movement of flying wing in rotational roll mode. Journal of Engineering and Applied Sciences 13(2): 463–471. doi: 10.3923/jeasci.2018.463.471

Shamshirgaran A, Abdollahi F (2016). Dynamic coverage control via underactuated autonomous underwater vehicles in unknown 3D environment. In: Proceedings of the 4th International Conference on Control, Instrumentation, and Automation (ICCIA 2016); 27–28 January 2016; Qazvin, Iran. pp. 333–338.

Sotzing CC, Lane DM (2010). Improving the coordination efficiency of limited-communication multi-autonomus underwater vehicle operations using a multiagent architecture. Journal of Field Robotics 27(4): 412–429. doi: 10.1002/rob.20340

Trimble G (1987). A multiprocessor system for AUV applications. In: Proceedings of the 5th International Symposium on Unmanned Untethered Submersible Technology (UUST 1987); June 1987; Durham, NH, USA. pp. 208–219.

Troisi S, Servidio E, Provost A (2014). Movement and position detection processing data from an accelerometer: motion simulation of an auv with a inertial navigation system based on myrio. Instrumentation viewpoint 16: 40-41.

Wey YE, Sarma V, Lechner AM, Nath TK (2022). Malaysians’ perception on the contribution of urban green spaces to the UN sustainable development goals. Urban Forestry and Urban Greening 78: 127792. doi: 10.1016/j.ufug.2022.127792

Zanin VYu, Kozhemyakin IV, Potekhin YuP (2017). Development micro autonomus underwater vehicles with control group function. Engineering Sciences. doi: 10.18522/2311-3103-2017-1-5574

Zhao Y, Guo J, Zheng H (2019). An autonomus obstacle avoidance method for finite-thrust spacecraft. In: Proceedings of the 2019 IEEE International Conference on Unmanned Systems (ICUS 2019); 17–19 October 2019; Beijing, China. pp. 255–260.

Zhu M, Jin Z, Zheng Z, Sun L (2016). Relative motion modeling and control for autonomus UAV carrier landing. In: Proceedings of the 28th Chinese Control and Decision Conference (CCDC 2016); 28–30 May 2016; Yinchuan, China. pp. 6415–6421.

Zubek F, Melichar A, Kenicky I, et al. (2022). Autonomus systems control design using neuro-evolution. In: Proceedings of the 31st International Conference on Cybernetics and Informatics (K and I 2022); 11–14 September 2022; Visegrád, Hungary.




DOI: https://doi.org/10.24294/jipd.v8i4.2995

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Charli Sitinjak, Muhamad Helmi Md Said, Jady Zaidi Hassim, Hasani Mohd Ali, Rasyikah Md Khalid

License URL: https://creativecommons.org/licenses/by/4.0/

This site is licensed under a Creative Commons Attribution 4.0 International License.