Proceedings of the 2021 6th International Conference on Social Sciences and Economic Development (ICSSED 2021)

Harbin Municipal Traffic Congestion Control Countermeasures Based on Big Data

Authors
Ping Liu, Jia Liu
Corresponding Author
Ping Liu
Available Online 8 April 2021.
DOI
https://doi.org/10.2991/assehr.k.210407.196How to use a DOI?
Keywords
Intelligent transportation, traffic jam, big data
Abstract

Harbin municipal government fully agrees with the scientific management of traffic, constantly improves the technical level and management level, and establishes the traffic management system, which enables the traffic management department to deal with road accidents in time, and avoid traffic congestion and other traffic problems to be improved. Traffic information sharing shows the intuitiveness of data. In case of congestion, the trend of each department can be seen, which is convenient to control, adjust and record data in time, and promote the progress of cross department business collaboration. The simple information sharing of relevant departments is conducive to the coordination and management, unified planning, and avoid the serious uneven distribution of information and the game between the strong and weak departments. This paper will put forward some problems and corresponding countermeasures for the problems of traffic congestion in Harbin Based on big data.

Copyright
© 2021, 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 2021 6th International Conference on Social Sciences and Economic Development (ICSSED 2021)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
8 April 2021
ISBN
978-94-6239-360-8
ISSN
2352-5398
DOI
https://doi.org/10.2991/assehr.k.210407.196How to use a DOI?
Copyright
© 2021, 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  - Ping Liu
AU  - Jia Liu
PY  - 2021
DA  - 2021/04/08
TI  - Harbin Municipal Traffic Congestion Control Countermeasures Based on Big Data
BT  - Proceedings of the 2021 6th International Conference on Social Sciences and Economic Development (ICSSED 2021)
PB  - Atlantis Press
SP  - 1044
EP  - 1047
SN  - 2352-5398
UR  - https://doi.org/10.2991/assehr.k.210407.196
DO  - https://doi.org/10.2991/assehr.k.210407.196
ID  - Liu2021
ER  -