Intelligent Transportation System based on the Whale Algorithm in Internet of Things

سال انتشار: 1401
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 164

فایل این مقاله در 12 صفحه با فرمت PDF قابل دریافت می باشد

استخراج به نرم افزارهای پژوهشی:

لینک ثابت به این مقاله:

شناسه ملی سند علمی:

JR_JECEI-10-2_008

تاریخ نمایه سازی: 20 تیر 1401

چکیده مقاله:

kground and Objectives: As cities are developing and the population increases significantly, one of the most important challenges for city managers is the urban transportation system. An Intelligent Transportation System (ITS) uses information, communication, and control techniques to assist the transportation system. The ITS includes a large number of traffic sensors that collect high volumes of data to provide information to support and improve traffic management operations. Due to the high traffic volume, the classic methods of traffic control are unable to satisfy the requirements of the variable, and the dynamic nature of traffic. Accordingly, Artificial Intelligence and the Internet of Things meet this demand as a decentralized solution.Methods: This paper presents an optimal method to find the best route and compare it with the previous methods. The proposed method has three phases. First, the area should be clustered under servicing and, second, the requests will be predicted using the time series neural network. then, the Whale Optimization Algorithm (WOA) will be run to select the best route.Results: To evaluate the parameters, different scenarios were designed and implemented. The simulation results show that the service time parameter of the proposed method is improved by about ۱۸% and ۴۰% in comparison with the Grey Wolf Optimizer (GWO) and Random Movement methods. Also, the difference between this parameter in the two methods of Harris Hawks Optimizer (HHO) and WOA is about ۵% and the HHO has performed better.Conclusion: The interaction of AI and IoT can lead to solutions to improve ITS and to increase client satisfaction. We use WOA to improve time servicing and throughput. The Simulation results show that this method can be increase satisfaction for clients.

نویسندگان

M. Abdollahi

School of Computer Engineering, Iran University of Science and Technology, Tehran, Iran.

Z. Boujarnezhad

Department of Computer Engineering, Pooyesh Institute of Higher Education, Qom, Iran.

مراجع و منابع این مقاله:

لیست زیر مراجع و منابع استفاده شده در این مقاله را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود مقاله لینک شده اند :
  • K. Iqbal, M.A. Khan, S. Abbas, Z. Hasan, A. Fatima, ...
  • A. Boukerche, Y. Tao, P. Sun, “Artificial intelligence-based vehicular traffic ...
  • R.M. Cardoso, N. Mastelari, M.F. Bassora, “Internet of things architecture ...
  • C. Chen, H. Liu, Z. Wang, “Analysis and design of ...
  • Z. Deng, T. Zhang, D. Liu, X. Jing, Z. Li, ...
  • A.A. Brincat, F. Pacifici, S. Martinaglia, F. Mazzola, “The internet ...
  • A. Ghosh, D. Chakraborty, A. Law, “Artificial intelligence in Internet ...
  • J. Guerrero-Ibáñez, S. Zeadally, J. Contreras-Castillo, “Sensor technologies for intelligent ...
  • K. Nellore, G.P. Hancke, “A survey on urban traffic management ...
  • Z. Boujarnezhad, M. Abdollahi, “Optimization of roadside assistance transportation based ...
  • S. Mirjalili, S.M. Mirjalili, A. Lewis, “Grey wolf optimizer,” Adv. ...
  • A.A. Heidari, S. Mirjalili, H. Faris, I. Aljarah, M. Mafarja, ...
  • P. Kuppusamy, R. Kalpana, P.V. Venkateswara Rao, “Optimized traffic control ...
  • A. Dubey, M. Lakhani, S. Dave, J.J. Patoliya, “Internet of ...
  • S. Javaid, A. Sufian, S. Pervaiz, M. Tanveer, “Smart traffic ...
  • P. Pyykönen, J. Laitinen, J. Viitanen, P. Eloranta, T. Korhonen, ...
  • T. Bojan, U. Kumar, V. Bojan, “An internet of things ...
  • S. Geetha, D. Cicilia, “IoT enabled intelligent bus transportation system,” ...
  • S.H. Sutar, R. Koul, R. Suryavanshi, “Integration of smart phone ...
  • S.K. Datta, R.P.F. Da Costa, J. Harri, C. Bonnet, “Integrating ...
  • M. Desai, A. Phadke, “Internet of Things based vehicle monitoring ...
  • A. Al-Dweik, R. Muresan, M. Mayhew, M. Lieberman, “IoT-based multifunctional ...
  • J. Jalaney, R.S. Ganesh, “Review on IoT based architecture for ...
  • F. Zhu, Y. Lv, Y. Chen, X. Wang, G. Xiong, ...
  • K.N. Qureshi, A.H. Abdullah, “A survey on intelligent transportation systems,” ...
  • D.F. Murad, B.S. Abbas, A. Trisetyarso, W. Suparta, C.H. Kang, ...
  • A. Thakur, R. Malekian, D.C. Bogatinoska, “Internet of Things based ...
  • A.H. Sodhro et al., “Quality of service optimization in an ...
  • A.H. Sodhro, J.J.P.C. Rodrigues, S. Pirbhulal, N. Zahid, A.R.L. de ...
  • A.H. Sodhro et al., “Towards ۵G-Enabled self adaptive green and ...
  • S.M. Odeh, “Management of an intelligent traffic light system by ...
  • Z. Li, M. Shahidehpour, S. Bahramirad, A. Khodaei, “Optimizing traffic ...
  • P. Zhou, Z. Fang, H. Dong, J. Liu, S. Pan, ...
  • A.A. Osuwa, E.B. Ekhoragbon, L.T. Fat, “Application of artificial intelligence ...
  • R. Hamidouche, Z. Aliouat, A.A.A. Ari, M. Gueroui, “An efficient ...
  • R.K. Yadav, R. Jain, S. Yadav, S. Bansal, “Dynamic traffic ...
  • Z. Liu, C. Wang, “Design of traffic emergency response system ...
  • M. Elhenawy, A.A. Elbery, A.A. Hassan, H.A. Rakha, “An intersection ...
  • X. Wang, Y. Wang, L. Wang, “Improving fuzzy c-means clustering ...
  • P. Arora, S. Varshney, et al., “Analysis of k-means and ...
  • M. Rocha, P. Cortez, J. Neves, “Evolution of neural networks ...
  • F. Raue, W. Byeon, T.M. Breuel, M. Liwicki, “Parallel sequence ...
  • S. Mirjalili, A. Lewis, “The whale optimization algorithm,” Adv. Eng. ...
  • I.N. Trivedi, J. Pradeep, J. Narottam, K. Arvind, L. Dilip, ...
  • I. Aljarah, H. Faris, S. Mirjalili, “Optimizing connection weights in ...
  • نمایش کامل مراجع