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Intelligent BRT in Tehran

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An intelligent BRT system is necessary when communities looking for new ways to use high capacity rapid transit at a reduced cost. This paper will describe the intelligent control system that works with Datacenter. With the help of GPS system, the data center can monitor the situation of each bus and bus station. Through RFID technology, bus station and traffic light can transfer data with bus and by Wimax communication technology all of parts can talk together; data center learns all information about the location of bus, the arrival of bus in each station and the number of passengers in station and bus. Finally, the paper presents the case study of those theories in Tehran BRT.
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Bibliografia
  • [1] Yin Zhu, “Study on Intelligent Traffic Control Based BRT”. In: Conf. Intelligent Systems and Applications (ISA), Beijing, China, May 2010.
  • [2] T. Gang, “The Application Study of Model and Algorithm on Bus Scheduling”, Journal of Qingdao University of Science and Technology, China, 2004.
  • [3] L. Da-ming, J. Xiao-jing, “General Introduction of Bus Rapicl Transport Intelligent System of Beijing South-Center Corridor”. In: Conf. Communication and Transportation Systems Engineering and Information, China, 2005.
  • [4] W.H. Hsieh, C.J. Ho, G.J. Jong, “Vehicle Information Communication Safety Combined with Mobile RFID”. In: Conf. Intelligent Information Hiding and Multimedia Signal Processing, China, 15th–17th August 2008.
  • [5] S. Inoue, H.Yasuura, “RFID privacy using usercontrollable uniqueness (Privacy Workshop)”, Nov. 2003.
  • [6] B. Jirong, S. Liya, L. Jinyuan, “Design of transportation safety management system for dangerous goods based on RFID”, CNKI:SUN:NXGJ.0.2010-03-017.
  • [7] X.H. Fan, Zhang, Y.L.A, “Design of bi-verification vehicle access intelligent control system based on RFID”. In: Conf. International Conference on Electronic Measurement & Instruments, Beijing, China, 16th–19th August, 2009.
  • [8] B.C. da Silva, R. Junges, D. de Oliveira, Bazzan, “An intelligent transportation system for urban mobility (Autonomous agents and multiagent systems)”, AAMAS’06, 2006, pp. 1471–1472.
  • [9] G. Kotusevski, K.A. Hawick, “A Review of Traffc Simulation Software”. In: Conf. Information and Mathematical Sciences, New Zealand, 23rd July, 2009.
  • [10] S. Wenchao X. Jianmin Y. Feng, “An Intelligent Transportation Simulation System Based on RFID Orientation Technology” , CNKI:SUN:JTJS.0.2009-01-031.
  • [11] J.-P. Hubaux, S. Capkun, J. Luo, “The security and privacy of smart vehicles”, IEEE Security and Privacy, 2004, pp. 49–55.
  • [12] Y. Sato, K. Makane, “Development and Evaluation of In-Vechicle Signing System Utilizing RFID Tags as Digital Traffic Signals”, Int. J. ITS, 2006, pp. 53–58.
  • [13] W. Hongjian, T. Yuelin, L. Zhi, “ RFID Technology Applied in Highway Traffic Management (Periodical style)”. In: Conference on Optoelectronics and Image Processing, vol. 2, November 2010, pp. 348–351.
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bwmeta1.element.baztech-article-BUJ8-0012-0010
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