Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering

Research on Traffic Accident Forecasting Based on Gray Model

Authors
LingLing Tian, JunCheng Jiang
Corresponding Author
LingLing Tian
Available Online November 2015.
DOI
10.2991/iccmcee-15.2015.15How to use a DOI?
Keywords
traffic accident, gray model, forecasting.
Abstract

As the road traffic system is an uncertain system, the occurrence of traffic accidents is also an uncertain system with partial information known and the other unknown. Therefore, it’s suitable to apply the gray model theory to predict the traffic accidents. This paper expounds the principles of gray model and gives an example to show the feasibility and practicability of the gray model applied in the forecasting of traffic accidents.

Copyright
© 2015, 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/).

Download article (PDF)

Volume Title
Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
Series
Advances in Engineering Research
Publication Date
November 2015
ISBN
978-94-6252-110-0
ISSN
2352-5401
DOI
10.2991/iccmcee-15.2015.15How to use a DOI?
Copyright
© 2015, 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  - LingLing Tian
AU  - JunCheng Jiang
PY  - 2015/11
DA  - 2015/11
TI  - Research on Traffic Accident Forecasting Based on Gray Model
BT  - Proceedings of the 2015 4th International Conference on Computer, Mechatronics, Control and Electronic Engineering
PB  - Atlantis Press
SP  - 71
EP  - 74
SN  - 2352-5401
UR  - https://doi.org/10.2991/iccmcee-15.2015.15
DO  - 10.2991/iccmcee-15.2015.15
ID  - Tian2015/11
ER  -