Study on bi-direction pedestrian flow using cellular automata simulation

Simulation model of bi-directional pedestrian considering potential effect ahead and behind

“…Another deterministic CA model for facing pedestrian traffic at rush hour [15] was proposed to clarify pedestrian behavior under the traffic rule. Yue [16] used Dynamic Parameters Model (CA-based) to study bidirectional flow. It is found that direction split and pedestrians' walking habit affect the value of critical density point and the figures of velocity_density and volume_density curves.…”

Simulation model of self-organizing pedestrian movement considering following behavior

“…Many researchers use discrete models, such as the cellular automaton model (CA) (Zhang et al, 2004;Liao and Liu, 2015) and the lattice gas model (Chen et al, 2009), to study the self-organizing phenomena of pedestrian flow. In CA, the factors influencing lane formation are: pedestrian walking habits under subconscious control (Yue et al, 2010;Li et al, 2017), pedestrian visual effect (Tajima et al, 2002), and the effect of prediction (Wang et al, 2012). The k-nearest-neighbors around pedestrians were considered from the point of the psychophysiological and surrounding environment (Ma et al, 2010).…”

Calibrating floor field cellular automaton models for pedestrian dynamics by using likelihood function optimization

“…These 40 models are fine network microscopic models which have been greatly developed after the pioneering works by Burstedde 41 et al [27], and Kirchner and Schadschneider [28]. In fact, different authors have developed floor field cellular automaton 42 models to predict pedestrian behaviour in different situations (i.e. emergency and non-emergency, indoor and outdoor 43 scenarios) [3,7,29,30].…”