Proceedings of the 2015 International Conference on Modeling, Simulation and Applied Mathematics

Non-signalized T-shaped Intersections Mixed Traffic Flow Study

Authors
Wenfang Feng, Yize Li, Changsheng Zhu
Corresponding Author
Wenfang Feng
Available Online August 2015.
DOI
https://doi.org/10.2991/msam-15.2015.1How to use a DOI?
Keywords
cellular automaton model; T-shaped intersection; mixed traffic flow; injection probability
Abstract
Combining actual city T-shaped intersection traffic conditions in this paper, we propose a cellular automaton model of mixed traffic flow at T-shaped intersection. In order to avoid a collision between vehicles and gridlock phenomenon occurs, running vehicle in the model adopted the principle of major street vehicles traveling priority. In this paper, a simulation study in the open boundary conditions, three kinds of maximum speed of vehicles mix injected T-shaped intersection lane. Research branch street injection probability respectively impact T-shaped intersection of lane’s average velocity and traffic flow. Under the same conditions, different mixing ratio coefficient of the speed are different effects on the traffic flow system. Main lane injection probability affect T-shaped intersection traffic flow within a certain range systems.
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Proceedings
Part of series
Advances in Intelligent Systems Research
Publication Date
August 2015
ISBN
978-94-6252-104-9
ISSN
1951-6851
DOI
https://doi.org/10.2991/msam-15.2015.1How 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  - Wenfang Feng
AU  - Yize Li
AU  - Changsheng Zhu
PY  - 2015/08
DA  - 2015/08
TI  - Non-signalized T-shaped Intersections Mixed Traffic Flow Study
PB  - Atlantis Press
SP  - 1
EP  - 4
SN  - 1951-6851
UR  - https://doi.org/10.2991/msam-15.2015.1
DO  - https://doi.org/10.2991/msam-15.2015.1
ID  - Feng2015/08
ER  -