Core Orientations for 4.0 Technology Application on the Development Strategy of Intelligent Transportation System in Vietnam

Hoang Phuong Nguyen

Abstract


The Industrial Revolution 4.0 is having a substantial impact on countries in many fields such as industry structure, human resource needs, production management systems. Transportation is a high-community industry, so it will also be strongly affected by this industrial revolution. The achievements of Industry 4.0 can reshape the nation's transportation systems. That poses challenges for transportation managers to change the operating model as well as the transport-related policies. Building and developing intelligent transport systems (ITS) is attracting considerable attention, research, and investment to serve the development of transportation systems in the world as well as in Vietnam. Vietnam is gradually building Intelligent Governments, Intelligent Cities, and the Intelligent Transportation system will be an essential part of that development and entering the stage of access to the 4.0 industrial revolution, building a smart city applying 4.0 technology to bring convenience, friendliness, and safety to people in each city. As a step ahead, the Transport industry gradually realizes its dream of developing intelligent transportation in developed cities like Hanoi and Ho Chi Minh City. The paper presents an overview of the impact of Industry 4.0 on key aspects of the transport sector in general and ITS development strategy in Vietnam. On that basis, state-of-the-art technologies - technology 4.0 are proposed to meet the demands of intelligent transportation development. The paper will show that 4.0 technology is the key to the development of ITS in Vietnam.


Keywords


development strategy; intelligent transport systems; industrial revolution 4.0; core orientation.

Full Text:

PDF

References


H. Makino, K. Tamada, K. Sakai, and S. Kamijo, "Solutions for urban traffic issues by ITS technologies," IATSS Res., vol. 42, no. 2, pp. 49–60, 2018.

B. Muhammad, A. Kumar, E. Cianca, and P. Lindgren, "Improving Port Operations through the Application of Robotics and Automation within the Framework of Shipping 4.0," Int. Symp. Wirel. Pers. Multimed. Commun. WPMC, vol. 2018-Novem, pp. 387–392, 2018.

A. Sładkowski and W. Pamuła, Intelligent transportation systems-problems and perspectives, vol. 303. Springer, 2016.

L. Li, X. Qu, J. Zhang, Y. Wang, and B. Ran, "Traffic speed prediction for intelligent transportation system based on a deep feature fusion model," J. Intell. Transp. Syst., vol. 23, no. 6, pp. 605–616, Nov. 2019.

L. Deka, S. M. Khan, M. Chowdhury, and N. Ayres, Transportation Cyber-Physical System and its importance for future mobility. Elsevier Inc., 2018.

M. Lom, O. Pribyl, and M. Svitek, "Industry 4.0 as a part of smart cities," in 2016 Smart Cities Symposium Prague (SCSP), 2016, pp. 1–6.

B. Chen, J. Wan, L. Shu, P. Li, M. Mukherjee, and B. Yin, "Smart factory of industry 4.0: Key technologies, application case, and challenges," IEEE Access, vol. 6, pp. 6505–6519, 2017.

W. Yu and F. Zhao, "Prediction of critical properties of biodiesel fuels from FAMEs compositions using intelligent genetic algorithm-based back propagation neural network," Energy Sources, Part A Recover. Util. Environ. Eff., pp. 1–14, Jul. 2019.

T. Zhang, W. Zhou, F. Meng, and Z. Li, "Efficiency Analysis and Improvement of an Intelligent Transportation System for the Application in Greenhouse," Electronics, vol. 8, no. 9, p. 946, 2019.

D. Tokody, I. J. Mezei, and G. Schuster, "An overview of autonomous intelligent vehicle systems," in Vehicle and Automotive Engineering, Springer, 2017, pp. 287–307.

C. Wang, X. Li, X. Zhou, A. Wang, and N. Nedjah, "Soft computing in big data intelligent transportation systems," Appl. Soft Comput., vol. 38, pp. 1099–1108, 2016.

J. Schlingensiepen, F. Nemtanu, R. Mehmood, and L. McCluskey, "Autonomic transport management systems—enabler for smart cities, personalized medicine, participation and industry grid/industry 4.0," in Intelligent transportation systems–problems and perspectives, Springer, 2016, pp. 3–35.

X. P. Nguyen and D. K. Pham Nguyen, "Experimental Research on the Impact of Anchor-Cable Tensions in Mooring Ship at Vung Tau Anchorage Area," Int. J. Adv. Sci. Eng. Inf. Technol., vol. 9, no. 6, pp. 1892–1899, 2019.

R. Chaudhary, A. Jindal, G. S. Aujla, S. Aggarwal, N. Kumar, and K.-K. R. Choo, "BEST: Blockchain-based secure energy trading in SDN-enabled intelligent transportation system," Comput. Secur., vol. 85, pp. 288–299, 2019.

S. He, A. Zhang, and M. Yan, "Voice and motion-based control system: Proof-of-concept implementation on robotics via internet-of-things technologies," in ACMSE 2019 - Proceedings of the 2019 ACM Southeast Conference, 2019.

S. Djahel, R. Doolan, G. M. Muntean, and J. Murphy, "A Communications-Oriented Perspective on Traffic Management Systems for Smart Cities: Challenges and Innovative Approaches," IEEE Commun. Surv. Tutorials, 2015.

W. Ejaz, M. Naeem, A. Shahid, A. Anpalagan, and M. Jo, "Efficient Energy Management for the Internet of Things in Smart Cities," IEEE Commun. Mag., 2017.

V. T. Pham, "Critical information for vietnamese economy aiming at a strategic breakthrough as approaching the industry 4.0," Int. J. Adv. Sci. Eng. Inf. Technol., vol. 9, no. 3, pp. 1008–1016, 2019.

S. H. Sutar, R. Koul, and R. Suryavanshi, "Integration of Smart Phone and IOT for development of smart public transportation system," in 2016 International Conference on Internet of Things and Applications, IOTA 2016, 2016.

C. T. Pham, K. H. Nhu, V. H. Dong, T. H. Le, and T. T. Hoang, "Development of PSO for tracking maximum power point of photovoltaic systems," Int. J. Adv. Sci. Eng. Inf. Technol., vol. 9, no. 5, pp. 1732–1738, 2019.

P. Molchanov, S. Gupta, K. Kim, and K. Pulli, "Multi-sensor system for driver's hand-gesture recognition," in 2015 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, FG 2015, 2015.

A. R. Fayjie, S. Hossain, D. Oualid, and D. J. Lee, "Driverless Car: Autonomous Driving Using Deep Reinforcement Learning in Urban Environment," in 2018 15th International Conference on Ubiquitous Robots, UR 2018, 2018.

G. Shahzad, H. Yang, A. W. Ahmad, and C. Lee, "Energy-Efficient Intelligent Street Lighting System Using Traffic-Adaptive Control," IEEE Sens. J., 2016.

C. Yang, Q. Huang, Z. Li, K. Liu, and F. Hu, "Big Data and cloud computing: innovation opportunities and challenges," International Journal of Digital Earth. 2017.

J. Stanley, D. Hensher, and M. A. Munizaga, "Big data and transport," in A Research Agenda for Transport Policy, 2019.

T. Borgi, N. Zoghlami, and M. Abed, "Big data for transport and logistics: A review," in Proceedings of International Conference on Advanced Systems and Electric Technologies, IC_ASET 2017, 2017.

J. Y. Lee, J. An, and C. K. Chua, "Fundamentals and applications of 3D printing for novel materials," Applied Materials Today. 2017.

L. C. Hwa, S. Rajoo, A. M. Noor, N. Ahmad, and M. B. Uday, "Recent advances in 3D printing of porous ceramics: A review," Current Opinion in Solid State and Materials Science. 2017.

Y. R. V. S. Chandra, M. Shiva Harun, and T. Reshma, "Intelligent transport system," Int. J. Civ. Eng. Technol., 2017.

D. González, J. Pérez, V. Milanés, and F. Nashashibi, "A Review of Motion Planning Techniques for Automated Vehicles," IEEE Trans. Intell. Transp. Syst., 2016.

C. Chen, N. Tabssum, and H. P. Nguyen, "Study on Ancient Chu Town Urban Green Space Evolution and Ecological and Environmental Benefits," Nat. Environ. Pollut. Technol., vol. 18, no. 5, pp. 1733–1738, 2019.

A. Lei, H. Cruickshank, Y. Cao, P. Asuquo, C. P. A. Ogah, and Z. Sun, "Blockchain-Based Dynamic Key Management for Heterogeneous Intelligent Transportation Systems," IEEE Internet Things J., 2017.

H. Zhu, K. V. Yuen, L. Mihaylova, and H. Leung, "Overview of Environment Perception for Intelligent Vehicles," IEEE Transactions on Intelligent Transportation Systems. 2017.

A. Balasubramaniam, A. Paul, W. H. Hong, H. C. Seo, and J. H. Kim, "Comparative analysis of intelligent transportation systems for sustainable environment in Smart Cities," Sustain., 2017.

R. Abduljabbar, H. Dia, S. Liyanage, and S. A. Bagloee, "Applications of artificial intelligence in transport: An overview," Sustainability (Switzerland). 2019.

N. H. Phuong, "What solutions should be applied to improve the efficiency in the management for port system in Ho Chi Minh City?," Int. J. Innov. Creat. Chang., vol. 5, no. 2, pp. 1747–1769, 2019.

J. Mata et al., "Artificial intelligence (AI) methods in optical networks: A comprehensive survey," Optical Switching and Networking. 2018.

E. Papa, M. te Brömmelstroet, C. Silva, and A. Hull, "Accessibility instruments for planning practice: A review of European experiences," Journal of Transport and Land Use. 2016.

M. Kans, D. Galar, and A. Thaduri, "Maintenance 4.0 in railway transportation industry," in Proceedings of the 10th world congress on engineering asset management (WCEAM 2015), 2016, pp. 317–331.

A. Ai-Kaff, R. Alonso, M. Osman, and A. Hussein, "SkyOnyx: Autonomous UAV Research Platform for Air Transportation System (ATSys)," in IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, 2018.

J. H. Huh, "Plc-integrated sensing technology in mountain regions for drone landing sites: Focusing on software technology," Sensors (Switzerland), 2018.

T. Wang et al., "A framework for airfare price prediction: A machine learning approach," in Proceedings - 2019 IEEE 20th International Conference on Information Reuse and Integration for Data Science, IRI 2019, 2019.

S. Teker, D. Teker, and A. Güner, "Financial Performance of Top 20 Airlines," Procedia - Soc. Behav. Sci., 2016.

X. P. Nguyen, "The bus transportation issue and people satisfaction with public transport in Ho Chi Minh city," J. Mech. Eng. Res. Dev., 2019.

Y. Zhao, B. Yan, W. Wang, Y. Lin, and J. Zhang, "On-Board Artificial Intelligence Based on Edge Computing in Optical Transport Networks," in 2019 Optical Fiber Communications Conference and Exhibition, OFC 2019 - Proceedings, 2019.

S. Karthikeyan, "An environmental effect of Vitis vinifera biofuel blends in a marine engine," Energy Sources, Part A Recover. Util. Environ. Eff., vol. 38, no. 21, pp. 3262–3267, Nov. 2016.

C. W. Armstrong, N. S. Foley, D. Slagstad, M. Chierici, I. Ellingsen, and M. Reigstad, "Valuing blue carbon changes in the Arctic ocean," Front. Mar. Sci., 2019.

G. Zou, "Intelligent Design and Operation of Ship Energy Systems combining Big Data and AI," in 17th Conference on Computer and IT Applications in the Maritime Industries (Compit '18), 2018.




DOI: http://dx.doi.org/10.18517/ijaseit.10.2.11129

Refbacks

  • There are currently no refbacks.



Published by INSIGHT - Indonesian Society for Knowledge and Human Development