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Study on bi-directional pedestrian movement using ant algorithms
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作者 Sibel Gokce ozhan kayacan 《Chinese Physics B》 SCIE EI CAS CSCD 2016年第1期525-534,共10页
A cellular automata model is proposed to simulate bi-directional pedestrian flow. Pedestrian movement is investigated by using ant algorithms. Ants communicate with each other by dropping a chemical, called a pheromon... A cellular automata model is proposed to simulate bi-directional pedestrian flow. Pedestrian movement is investigated by using ant algorithms. Ants communicate with each other by dropping a chemical, called a pheromone, on the substrate while crawling forward. Similarly, it is considered that oppositely moving pedestrians drop 'visual pheromones' on their way and the visual pheromones might cause attractive or repulsive interactions. This pheromenon is introduced into mod- elling the pedestrians' walking preference. In this way, the decision-making process of pedestrians will be based on 'the instinct of following'. At some densities, the relationships of velocity-density and flux-density are analyzed for different evaporation rates of visual pheromones. Lane formation and phase transition are observed for certain evaporation rates of visual pheromones. 展开更多
关键词 cellular automata computer simulation bi-directional pedestrian flow phase transition
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