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Research on Dynamic Path Guidance Algorithm for Road Transportation

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Recent Developments in Mechatronics and Intelligent Robotics (ICMIR 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1060))

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Abstract

In this paper, the dynamic path guidance algorithm for road transport is systematically summarized. Firstly, the traffic parameter models needed in the dynamic path guidance system are analyzed and compared to the micro- and macro-perspectives, and several traffic parameter models are listed. Then, some classical road network optimization algorithms are analyzed, and some existing research results are cited. Finally, the future development direction of dynamic path guidance algorithm is discussed.

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References

  1. Yang Zhaosheng, Chu Lianyu. Study on the development of the dynamic route guidance Systems. J Highw Transp Res Develop. 2000;01:34–8.

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Acknowledgements

This work was supported by National Key R&D Program of China (2017YFC0804807).

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Authors and Affiliations

  1. Key Laboratory of Operation Safety Technology on Transport Vehicles, Ministry of Transport, PRC no. 8, Xitucheng Road, Haidian District, 100088, Beijing, China

    Xuan Dong

Authors
  1. Xuan Dong
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Corresponding author

Correspondence to Xuan Dong .

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Editors and Affiliations

  1. Department of Computer Science and Engineering, SOA University, Bhubaneswar, Odisha, India

    Srikanta Patnaik

  2. Department of Information Management and Business Analytics, Montclair State University, Montclair, NJ, USA

    John Wang

  3. School of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, China

    Zhengtao Yu

  4. Department of Information Technology, Techno India College of Technology, Durgapur, Kolkata, India

    Nilanjan Dey

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Dong, X. (2020). Research on Dynamic Path Guidance Algorithm for Road Transportation. In: Patnaik, S., Wang, J., Yu, Z., Dey, N. (eds) Recent Developments in Mechatronics and Intelligent Robotics. ICMIR 2019. Advances in Intelligent Systems and Computing, vol 1060. Springer, Singapore. https://doi.org/10.1007/978-981-15-0238-5_48

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