Open AccessCellular automaton model of traffic flow based on safety driving
Author(s) -
Mou Yongbiao,
Chengwen Zhong
Publication year - 2005
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.54.5597
Subject(s) - cellular automaton , traffic flow (computer networking) , collision , computer science , three phase traffic theory , metastability , flow (mathematics) , microscopic traffic flow model , hysteresis , statistical physics , simulation , physics , mechanics , algorithm , real time computing , traffic generation model , traffic congestion reconstruction with kerner's three phase theory , computer network , transport engineering , traffic congestion , computer security , quantum mechanics , engineering
Considering the condition of having a stationary vehicle ahead, a new one-dimensional cellular automaton model emphasizing high safety is proposed to reduce the probability of rear-end collision in the Nagel-Schreckenberg model. The simulation results reveal the presence of metastable state, nonequilibrium phase transition and hysteresis effects, which have been observed in real traffic. Due to the introduction of the safety probability, traffic flow near the critical density will turn to a synchronized flow at low speed, rather than the jam state. So the probability of rear-end collision will be reduced and the traffic capacity may be increased at high traffic density.