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Research on Intelligent Traffic Scheduling Based on Dijkstra Algorithm

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International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018 (ATCI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 842))

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Abstract

With the development of intelligent card (IC), traffic monitoring, Radio Frequency Identification (RFID), Electronic Toll Collection (ETC) and other intelligent transportation technology, traffic managers can accurately measure of road traffic flow, which provide conditions for road traffic intelligent decision. This paper uses the city traffic network graph, and each road traffic flow measurement data, according to the length of road and road congestion condition, uses the Dijkstra algorithm, to provide the best travel route for the city’s driver, which can effectively avoid the traffic congestion, improve the operation efficiency of city traffic.

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Author information

Authors and Affiliations

  1. Lianyungang JARI Electronics Co., Ltd., Lianyungang, Jiangsu, People’s Republic of China

    Huiyan Shen

Authors
  1. Huiyan Shen
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Corresponding author

Correspondence to Huiyan Shen .

Editor information

Editors and Affiliations

  1. Faculty of Science, Engineering and Built Environment, Deakin University Geelong, Geelong, VIC, Australia

    Jemal Abawajy

  2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  3. School of Computing and Mathematics, Charles Sturt University, Albury, NSW, Australia

    Rafiqul Islam

  4. Tsinghua University, Beijing Shi, China

    Zheng Xu

  5. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

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Shen, H. (2019). Research on Intelligent Traffic Scheduling Based on Dijkstra Algorithm. In: Abawajy, J., Choo, KK., Islam, R., Xu, Z., Atiquzzaman, M. (eds) International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018. ATCI 2018. Advances in Intelligent Systems and Computing, vol 842. Springer, Cham. https://doi.org/10.1007/978-3-319-98776-7_73

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