Proceedings of the 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)

Unmanned Vehicles’ Message Display Optimization for IoT

Authors
Jun Wu, Liubin Song, Litao Chen, Xiaohao Mo, Bo Wu
Corresponding Author
Xiaohao Mo
Available Online December 2018.
DOI
https://doi.org/10.2991/tlicsc-18.2018.44How to use a DOI?
Keywords
IoT; Unmanned Vehicle Message Display; fuzzy analytic hierarchy process; Evaluation Approach; Appeal.
Abstract
The rapid development of Internet of Things (IoT) has drawn much attentions. Recently, the unmanned vehicles-based application for the IoT is widespread. With the unmanned vehicles, the human-machine display design of the unmanned vehicle instrument panel is very important. To rapidly and precisely obtain the comprehensive message through the unmanned vehicle message display, the message display optimization is important. In this paper, we proposed the fuzzy analytic hierarchy process evaluation approach for the optimization of the unmanned vehicle message display. The results of the experiment verified that the proposed method could quantitatively analyze the design consideration factors, and the proposed approach could improve the usability and appeal of the message display for unmanned vehicles.
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This is an open access article distributed under the CC BY-NC license.

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Proceedings
2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2018
ISBN
978-94-6252-621-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/tlicsc-18.2018.44How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jun Wu
AU  - Liubin Song
AU  - Litao Chen
AU  - Xiaohao Mo
AU  - Bo Wu
PY  - 2018/12
DA  - 2018/12
TI  - Unmanned Vehicles’ Message Display Optimization for IoT
BT  - 2018 International Conference on Transportation & Logistics, Information & Communication, Smart City (TLICSC 2018)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/tlicsc-18.2018.44
DO  - https://doi.org/10.2991/tlicsc-18.2018.44
ID  - Wu2018/12
ER  -