Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)

Analysis on Traffic Jam and Treatment Plan of City Road --Based on Big Data Analysis

Authors
Ke Jiang
Corresponding Author
Ke Jiang
Available Online April 2017.
DOI
10.2991/fmsmt-17.2017.293How to use a DOI?
Keywords
smart city; traffic jam; intelligent traffic
Abstract

how to use big data method to improve intelligent traffic system at present and relieve traffic jam is one of the key problems of smart city research and traffic plan field. This paper firstly analyzes big data application in traffic guidance information system according to optimal equilibrium theory of traffic flow user and optimal equilibrium theory of system. Secondly, this paper discusses big data application in the aspect of traffic flow research and jam real-time evaluation. Thirdly, this paper discusses big data application in traffic jam pricing. Fourthly, this paper analyzes big data application in the aspect of public traffic operation and real-time monitoring on service level. Finally, this paper puts forward theory and frame of integrated traffic monitoring and terminal management system.

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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Volume Title
Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
Series
Advances in Engineering Research
Publication Date
April 2017
ISBN
978-94-6252-331-9
ISSN
2352-5401
DOI
10.2991/fmsmt-17.2017.293How to use a DOI?
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/).

Cite this article

TY  - CONF
AU  - Ke Jiang
PY  - 2017/04
DA  - 2017/04
TI  - Analysis on Traffic Jam and Treatment Plan of City Road --Based on Big Data Analysis
BT  - Proceedings of the 2017 5th International Conference on Frontiers of Manufacturing Science and Measuring Technology (FMSMT 2017)
PB  - Atlantis Press
SP  - 1510
EP  - 1515
SN  - 2352-5401
UR  - https://doi.org/10.2991/fmsmt-17.2017.293
DO  - 10.2991/fmsmt-17.2017.293
ID  - Jiang2017/04
ER  -