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Assistive Systems for Mobility in Smart City: Humans and Goods

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HCI in Mobility, Transport, and Automotive Systems (HCII 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12791))

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Abstract

Nowadays, the society is highly intelligent, and smart city has become the common expectation of people. Smart city is a large concept, which includes smart home, Smart Transportation, Smart public, Service and Social management, smart Urban Management and other aspects. This paper mainly discusses the problem of the mobility in cities. The mobility in cities can be divided into two categories in practice, namely, the movement of humans and the movement of goods. In this paper, we enumerate the typical cases in the mobility of humans and goods, and analyze the operation principle of these cases one by one. Some of these examples are implemented, some are not. In order to make urban mobility “smart”, we propose a framework of assistive system, which has a four-tier structure and uses big data, cloud computing, AI, deep learning and other technologies. It is aimed at a variety of different scenes, to provide users with the most thoughtful advice and the most humanized service, to solve the problem of urban mobility.

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Acknowledgements

This study is partially supported for Chinese part by the National Key R&D Program of China (No. 2019YFB2102200), the National Natural Science Foundation of China (No. 61977003, No. 61861166002, No. 61872025, No. 61635002), the Science and Technology Development Fund of Macau SAR (File no. 0001/2018/AFJ) Joint Scientific Research Project, the Macao Science and Technology Development Fund (No.138/2016/A3), the Fundamental Research Funds for the Central Universities and the Open Fund of the State Key Laboratory of Software Development Environment (No. SKLSDE2019ZX-04). For French part main supports were by the French Ministry of Ecology (No. 09MTCV37 and PREDIT-G02 CHORUS 2100527197).

Author information

Authors and Affiliations

  1. Sino-French Engineer School, Beihang University, Beijing, 100191, China

    Yuhang Li & Chuantao Yin

  2. School of Computer Science and Engineering, Beihang University, Beijing, 100191, China

    Zhang Xiong

  3. Université de Lyon, CNRS, Ecole Centrale de Lyon, LIRIS, UMR5205, 69134, Lyon, France

    Bertrand David & René Chalon

  4. State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing, 100191, China

    Hao Sheng

  5. Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing, 100191, China

    Hao Sheng

Authors
  1. Yuhang Li
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  2. Chuantao Yin
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  3. Zhang Xiong
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  4. Bertrand David
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  5. René Chalon
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  6. Hao Sheng
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Corresponding author

Correspondence to Bertrand David .

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Editors and Affiliations

  1. Technische Universität Ilmenau, Ilmenau, Germany

    Heidi Krömker

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Li, Y., Yin, C., Xiong, Z., David, B., Chalon, R., Sheng, H. (2021). Assistive Systems for Mobility in Smart City: Humans and Goods. In: Krömker, H. (eds) HCI in Mobility, Transport, and Automotive Systems. HCII 2021. Lecture Notes in Computer Science(), vol 12791. Springer, Cham. https://doi.org/10.1007/978-3-030-78358-7_6

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  • DOI: https://doi.org/10.1007/978-3-030-78358-7_6

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