An Empirical Study: CDA-based Data Innovation-driven Intelligent Traffic Control System Model of Canton City

DOI

10.2991/icmse-17.2017.74How to use a DOI?

Keywords

Intelligent Traffic Control; Data Acquire; Innovation-driven; Canton mega-city;

Abstract

At present, with the growth of private cars and autos ownership, the traffic flow has soared and become a burden for the development of Canton mega-city in China. The sky-rocket number of autos, especially those private ones, has made traffic congestion and car accidents a significant problem Although people are eager to know the real-time road conditions , this is not supported by traditional traffic control system and thus Intelligent Traffic Control System cries out to address these issues Intelligent Traffic Control System serves as the frontier research subject in China and capturing concerns from both the academic field and society for the meantime data Innovation has witnessed the significant and remarkable changes in Information technology. This paper designs a brand new Intelligent Traffic Control System Model based on CDA and Data Innovation-driven; the main functions of the system consist of data acquirement, data analysis and dada driven process in both macro and micro layers. An Empirical Study has followed up to check the effects of this model by the case study of Canton City in transportation system. A positive statistical result has obtained, confirming the positive effect of this model. The results have shown a high practicability and reliability in practical use. With the data acquired, collected and innovatively-driven by monitors installed and decoded in intersections and sub-sections, different road conditions are discriminated, calculated and shown in diverse modes on the controlling layer to allocate efficient paths/routes to avoid the traffic congestion; meanwhile this model renders a guideline for a traffic authority to make decisions on traffic control

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  - Luxia Yi
AU  - Yucong Yo
PY  - 2017/04
DA  - 2017/04
TI  - An Empirical Study: CDA-based Data Innovation-driven Intelligent Traffic Control System Model of Canton City
BT  - Proceedings of the 2017 7th International Conference on Manufacturing Science and Engineering (ICMSE 2017)
PB  - Atlantis Press
SP  - 388
EP  - 391
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-17.2017.74
DO  - 10.2991/icmse-17.2017.74
ID  - Yi2017/04
ER  -