Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)

Study on the Influence of Opening Residential Quarter on Road Capacity

Authors
Jing Tian
Corresponding Author
Jing Tian
Available Online June 2016.
DOI
10.2991/mecs-17.2017.25How to use a DOI?
Keywords
residential quarter, fuzzy comprehensive evaluation model
Abstract

The concept of opening residential quarter has aroused the concern of all sectors of society. Influence on road capacity is a major focus of attention, including optimizing the road network structure, improving road capacity and improving traffic conditions. In this paper, in order to analyze the influence of opening residential on road capacity, an evaluation index system is established by collecting relevant data. This system mainly considers three indexes: the geographical factors of residential quarters, road condition, and signal facility. Based on this system, we build a fuzzy comprehensive evaluation model. By using this model, we can make reasonable proposals for the department of urban planning and traffic management from the point of view of improving the capacity of traffic.

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 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
Series
Advances in Engineering Research
Publication Date
June 2016
ISBN
978-94-6252-352-4
ISSN
2352-5401
DOI
10.2991/mecs-17.2017.25How 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  - Jing Tian
PY  - 2016/06
DA  - 2016/06
TI  - Study on the Influence of Opening Residential Quarter on Road Capacity
BT  - Proceedings of the 2017 2nd International Conference on Machinery, Electronics and Control Simulation (MECS 2017)
PB  - Atlantis Press
SN  - 2352-5401
UR  - https://doi.org/10.2991/mecs-17.2017.25
DO  - 10.2991/mecs-17.2017.25
ID  - Tian2016/06
ER  -