Utilizing real-time travel information, mobile applications and wearable devices for smart public transportation

Vincent T.F. Chow; Ka Wing Sung; Helen M. Meng; Ka Ho Wong; Gary K.S. Leung; Yong Hong Kuo; Kelvin K.F. Tsoi

doi:10.1109/CCBD.2016.036

Utilizing real-time travel information, mobile applications and wearable devices for smart public transportation

Vincent T.F. Chow
, Ka Wing Sung
, Helen M. Meng
, Ka Ho Wong
, Gary K.S. Leung
, Yong Hong Kuo
, Kelvin K.F. Tsoi

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

15 Citations (Scopus)

Abstract

We propose a cloud platform that utilizes real-time travel information, a mobile application and wearable devices for smart public transportation. This platform is capable of retrieving the required data automatically, reporting real-time public transportation information and providing users with personalized recommendations for using public transits. Novel features of this platform include the measure of the current walking speed of the user and the use of real-time estimated arrival times of public transits at different locations for travel recommendations. We also present our on-going work of developing the proposed platform for the public transportation system in Hong Kong. We aim to develop this platform for passengers for aiding their decisions and reducing their journey times, thereby improving their commuting experience and encouraging the use of public transportation.

Original language	English
Title of host publication	Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	138-144
Number of pages	7
ISBN (Electronic)	9781509035557
DOIs	https://doi.org/10.1109/CCBD.2016.036
Publication status	Published - 13 Jul 2017
Externally published	Yes
Event	7th International Conference on Cloud Computing and Big Data, CCBD 2016 - Taipa, Macau, China Duration: 16 Nov 2016 → 18 Nov 2016

Publication series

Name	Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016

Conference

Conference	7th International Conference on Cloud Computing and Big Data, CCBD 2016
Country/Territory	China
City	Taipa, Macau
Period	16/11/16 → 18/11/16

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities

Keywords

cloud platform
mobile applications
public transportation
smart city
transportation disruptions
travel recommendations
walking speed.
wearable devices

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Information Systems
Computer Science Applications

More information

10.1109/CCBD.2016.036

Cite this

Chow, V. T. F., Sung, K. W., Meng, H. M., Wong, K. H., Leung, G. K. S., Kuo, Y. H., & Tsoi, K. K. F. (2017). Utilizing real-time travel information, mobile applications and wearable devices for smart public transportation. In Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016 (pp. 138-144). Article 7979894 (Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CCBD.2016.036

Chow, Vincent T.F. ; Sung, Ka Wing ; Meng, Helen M. et al. / Utilizing real-time travel information, mobile applications and wearable devices for smart public transportation. Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 138-144 (Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016).

@inproceedings{696a08d7e59247dbaa24697e37af0a61,

title = "Utilizing real-time travel information, mobile applications and wearable devices for smart public transportation",

abstract = "We propose a cloud platform that utilizes real-time travel information, a mobile application and wearable devices for smart public transportation. This platform is capable of retrieving the required data automatically, reporting real-time public transportation information and providing users with personalized recommendations for using public transits. Novel features of this platform include the measure of the current walking speed of the user and the use of real-time estimated arrival times of public transits at different locations for travel recommendations. We also present our on-going work of developing the proposed platform for the public transportation system in Hong Kong. We aim to develop this platform for passengers for aiding their decisions and reducing their journey times, thereby improving their commuting experience and encouraging the use of public transportation.",

keywords = "cloud platform, mobile applications, public transportation, smart city, transportation disruptions, travel recommendations, walking speed., wearable devices",

author = "Chow, \{Vincent T.F.\} and Sung, \{Ka Wing\} and Meng, \{Helen M.\} and Wong, \{Ka Ho\} and Leung, \{Gary K.S.\} and Kuo, \{Yong Hong\} and Tsoi, \{Kelvin K.F.\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 7th International Conference on Cloud Computing and Big Data, CCBD 2016 ; Conference date: 16-11-2016 Through 18-11-2016",

year = "2017",

month = jul,

day = "13",

doi = "10.1109/CCBD.2016.036",

language = "English",

series = "Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "138--144",

booktitle = "Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016",

}

Chow, VTF, Sung, KW, Meng, HM, Wong, KH, Leung, GKS, Kuo, YH & Tsoi, KKF 2017, Utilizing real-time travel information, mobile applications and wearable devices for smart public transportation. in Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016., 7979894, Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016, Institute of Electrical and Electronics Engineers Inc., pp. 138-144, 7th International Conference on Cloud Computing and Big Data, CCBD 2016, Taipa, Macau, China, 16/11/16. https://doi.org/10.1109/CCBD.2016.036

Utilizing real-time travel information, mobile applications and wearable devices for smart public transportation. / Chow, Vincent T.F.; Sung, Ka Wing; Meng, Helen M. et al.
Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016. Institute of Electrical and Electronics Engineers Inc., 2017. p. 138-144 7979894 (Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016).

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Utilizing real-time travel information, mobile applications and wearable devices for smart public transportation

AU - Chow, Vincent T.F.

AU - Sung, Ka Wing

AU - Meng, Helen M.

AU - Wong, Ka Ho

AU - Leung, Gary K.S.

AU - Kuo, Yong Hong

AU - Tsoi, Kelvin K.F.

PY - 2017/7/13

Y1 - 2017/7/13

N2 - We propose a cloud platform that utilizes real-time travel information, a mobile application and wearable devices for smart public transportation. This platform is capable of retrieving the required data automatically, reporting real-time public transportation information and providing users with personalized recommendations for using public transits. Novel features of this platform include the measure of the current walking speed of the user and the use of real-time estimated arrival times of public transits at different locations for travel recommendations. We also present our on-going work of developing the proposed platform for the public transportation system in Hong Kong. We aim to develop this platform for passengers for aiding their decisions and reducing their journey times, thereby improving their commuting experience and encouraging the use of public transportation.

AB - We propose a cloud platform that utilizes real-time travel information, a mobile application and wearable devices for smart public transportation. This platform is capable of retrieving the required data automatically, reporting real-time public transportation information and providing users with personalized recommendations for using public transits. Novel features of this platform include the measure of the current walking speed of the user and the use of real-time estimated arrival times of public transits at different locations for travel recommendations. We also present our on-going work of developing the proposed platform for the public transportation system in Hong Kong. We aim to develop this platform for passengers for aiding their decisions and reducing their journey times, thereby improving their commuting experience and encouraging the use of public transportation.

KW - cloud platform

KW - mobile applications

KW - public transportation

KW - smart city

KW - transportation disruptions

KW - travel recommendations

KW - walking speed.

KW - wearable devices

UR - https://www.scopus.com/pages/publications/85027442663

U2 - 10.1109/CCBD.2016.036

DO - 10.1109/CCBD.2016.036

M3 - Conference article published in proceeding or book

AN - SCOPUS:85027442663

T3 - Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016

SP - 138

EP - 144

BT - Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 7th International Conference on Cloud Computing and Big Data, CCBD 2016

Y2 - 16 November 2016 through 18 November 2016

ER -

Chow VTF, Sung KW, Meng HM, Wong KH, Leung GKS, Kuo YH et al. Utilizing real-time travel information, mobile applications and wearable devices for smart public transportation. In Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016. Institute of Electrical and Electronics Engineers Inc. 2017. p. 138-144. 7979894. (Proceedings - 2016 7th International Conference on Cloud Computing and Big Data, CCBD 2016). doi: 10.1109/CCBD.2016.036

Utilizing real-time travel information, mobile applications and wearable devices for smart public transportation

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

More information

Other files and links

Fingerprint

Cite this