Traffic Behavior in CA Model of Vehicular Traffic through a Series of Signals
Author(s) -
Kazuhiro Tobita,
Takashi Nagatani
Publication year - 2012
Publication title -
discrete dynamics in nature and society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.264
H-Index - 39
eISSN - 1607-887X
pISSN - 1026-0226
DOI - 10.1155/2012/812969
Subject(s) - offset (computer science) , cellular automaton , diagram , series (stratigraphy) , traffic signal , signal (programming language) , traffic model , computer science , statistical physics , set (abstract data type) , traffic system , value (mathematics) , algorithm , real time computing , physics , transport engineering , engineering , computer network , geology , paleontology , database , machine learning , programming language
We study the traffic states and fundamental diagram of vehicular traffic controlled by a series of traffic lights using a deterministic cellular automaton (CA) model. The CA model is not described by a set of rules but is given by a difference equation. The vehicular traffic varies highly with both signal’s characteristics and vehicular density. The dependence of fundamental diagram on the signal’s characteristics is derived. At a low value of cycle time, the fundamental diagram displays the typical trapezoid, while it shows a triangle at a high value of cycle time. The dynamic transitions among distinct traffic states depend greatly on the signal’s characteristics. The dependence of the transition points on the cycle time split and offset time is found
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