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Bus passenger flow statistics algorithm based on deep learning

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Abstract

Bus passenger flow statistics can be used to improve passenger travelling experience and reduce trip delay, this is very important for intelligent transportation. In this paper, a bus passenger flow statistics algorithm based on SSD (Single Shot MultiBox Detector) and Kalman filter is proposed to obtain passenger flow statistics from surveillance cameras on the buses. The method modifies the SSD model to a two-class model and trains the two-class SSD model using the bus dataset first, then the model is used to detect the position of the passengers in each frame and are tracked with the Kalman filter. Finally, according to the passenger trajectory, the traffic statistics of passenger getting on and off will be generated. The results of some conducted experiments show that the proposed bus passenger flow statistics algorithm is more accurate and robust than traditional methods.

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Acknowledgments

This work was supported by the Foundation of Nature Science of Guangdong (2015A030310172).

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Authors and Affiliations

  1. ATR Key Laboratory of National Defence Technology, Shenzhen University, Shenzhen, 518060, China

    Yong Zhang & Wentao Tu

  2. Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, 518060, China

    Yong Zhang

  3. Guangdong Laboratory of Artificial Intelligence and Digital Economy(SZ), Shenzhen University, Shenzhen, 518060, China

    Yong Zhang

  4. School of Science and Technology, Georgia Gwinnett College, Lawrenceville, GA, 30043, USA

    Kairui Chen

  5. Department of Supply Chain and Information Management, Hang Seng University of Hong Kong, Hong Kong, 999077, China

    C. H. Wu

  6. Shenzhen Institute of Information Technology, Shenzhen, 518172, China

    Li Li

  7. College of Engineering, University of Saskatchewan, Saskatoon, Canada

    W. H. Ip

  8. Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, 999077, China

    C. Y. Chan

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  1. Yong Zhang
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  2. Wentao Tu
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  3. Kairui Chen
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  4. C. H. Wu
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  5. Li Li
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  7. C. Y. Chan
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Correspondence to Li Li.

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Zhang, Y., Tu, W., Chen, K. et al. Bus passenger flow statistics algorithm based on deep learning. Multimed Tools Appl 79, 28785–28806 (2020). https://doi.org/10.1007/s11042-020-09487-0

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  • DOI: https://doi.org/10.1007/s11042-020-09487-0

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