Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

An Interval Type-2 Fuzzy Cellular Automaton Model for Traffic Flow

Authors
Jie Dong, Xiaomei Zhang
Corresponding Author
Jie Dong
Available Online May 2014.
DOI
https://doi.org/10.2991/iccia.2012.112How to use a DOI?
Keywords
traffic flow, cellular automaton model, interval type-2 fuzzy sets, randomization deceleration probability
Abstract
On the basis of Nagel-Schreckenberg model, this paper presents a modified fuzzy cellular automaton model for one-lane highway traffic. An interval type-2 fuzzy logic system is designed to evaluate the randomization parameter of a vehicle based on the spatial headway and speed difference. Some basic qualitative results and the fundamental diagram of our new model are got through computer numerical simulations. The experimental results show that our new model is able to reproduce some of the real macroscopic traffic characteristics such as stop-and-go waves, hysteresis and metastability phenomena.
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Proceedings
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Part of series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-91216-41-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccia.2012.112How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Jie Dong
AU  - Xiaomei Zhang
PY  - 2014/05
DA  - 2014/05
TI  - An Interval Type-2 Fuzzy Cellular Automaton Model for Traffic Flow
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 466
EP  - 469
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.112
DO  - https://doi.org/10.2991/iccia.2012.112
ID  - Dong2014/05
ER  -