Artificial Intelligence Design of Public Transportation

DOI

10.2991/icacie-17.2017.32How to use a DOI?

Keywords

public transportation system; artificial intelligence; green energy; city portal image; public transportation; data sharing

Abstract

This paper mainly focus on the optimization of Jinan city. In order to improve the public transportation issues of Jinan, we have designed a more intelligent, greener transportation than ever before, including the public transportation facilities and public transportation data sharing systems. In the aspect of public transportation facilities, the use of solar panels have been joined as the roof of the bus station and the humanized facilities also have been joined into the design. In addition, we have designed the shape of the bus station newly. In terms of the public transportation data sharing systems, we have a thought that it is essential to develop a mobile application which could acquire the real-time information of the public transportation and get use of the cameras in bus to transmit the real-time video to the screen of the bus station's platform, which can provide the information such as the degree of crowdedness in the bus for the people who is waiting for the bus. This design will provide people with more traffic information and make people more efficient and convenient, which can carry out the sustainable strategy of the city.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaolu Wang
AU  - Yading Sun
PY  - 2017/08
DA  - 2017/08
TI  - Artificial Intelligence Design of Public Transportation
BT  - Proceedings of the 2017 2nd International Conference on Automatic Control and Information Engineering (ICACIE 2017)
PB  - Atlantis Press
SP  - 137
EP  - 140
SN  - 2352-5401
UR  - https://doi.org/10.2991/icacie-17.2017.32
DO  - 10.2991/icacie-17.2017.32
ID  - Wang2017/08
ER  -