Chapter
Jan 13, 2020
Sixth International Conference on Transportation Engineering

Application of Big Data Technology in Large-Scale Event Management and Traffic Supervision

Publication: ICTE 2019

ABSTRACT

Due to the density of passenger-flow and complexity of personnel structure in large-scale event, without an effective system to keep the site in good order, some unexpected accidents, such as trample accident will happen. It is not enough to rely on the on-site staff to keep the site order, therefore, it is necessary to effectively apply the big data technology in corresponding event-management and traffic supervision. The maximum advantage of big data technology lies in that, based on big data technology, the event management and traffic system can be more efficient, and an accurate prediction can be made to meet the demand of the whole event, so as measures can be taken to help the on-site staff to particularly focus on the traffic distribution and management. This paper is mainly analyzing the value of big data technology applied in large-scale events, and takes Chengdu sports center as an example to explicitly illustrate how big data technology is applied in the management and traffic supervision for large-scale events.

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ACKNOWLEDGEMENT

This research thanks to the strong support of Southwest Jiaotong University's Undergraduate Education Research and Reform Project Committee, thanks to the support of the curriculum reform team (Project No.:Q1903083), thanks to the support of all participants.

REFERENCES

CHEN, Libo. (2016). “Application of big data in intelligent transportation system.” China municipal engineering, (25), 113-114.
CUI, Chengliang. (2016). “Application of big data technology in large-scale event management and transportation organization.” China municipal engineering, 36(6), 7-9.
FENG, Wei. (2018). “Research on the application of big data in intelligent transportation system in the era of "Internet +".” Decision exploration (in Chinese), 5(5): 83-83.
LU, Lianfang. (2018). “Application of new technologies in the era of big data in intelligent transportation.” Urban construction theory research (electronic edition), 36(5), 223-225.
Science and technology daily. (2013). “Big data era: opportunities and challenges for the development of intelligent transportation system.” Science and technology wind, (23):1-2.
ZHANG, Kun, CUI, Rongrong. (2017). “Research on the application of big data in intelligent transportation system in the information age.” Urban construction theory research (electronic edition), (34):200-200.

Information & Authors

Information

Published In

Go to ICTE 2019
ICTE 2019
Pages: 870 - 875
Editors: Xiaobo Liu, Ph.D., Southwest Jiaotong University, Qiyuan Peng, Ph.D., Southwest Jiaotong University, and Kelvin C. P. Wang, Ph.D., Oklahoma State University
ISBN (Online): 978-0-7844-8274-2

History

Published online: Jan 13, 2020

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Sport Dept., Southwest Jiaotong Univ., Chengdu 611756. E-mail: [email protected]
School of Economics and Management, Southwest Jiaotong Univ., Chengdu 611756; China Railway Economic Planning and Research Institute Co., Ltd. (corresponding author). E-mail: [email protected]

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