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Modelling negative interactions among pedestrians in high density situations
Institution:1. Complex Systems and Artificial Intelligence research center, Department of Informatics, Systems and Communication, University of Milano-Bicocca, Milan, Italy;2. State Key Laboratory of Fire Science, University of Science and Technology of China, Hefei, Peoples Republic of China;3. Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan;1. School of Information Science and Engineering, Shandong Normal University, Jinan, China;2. Shandong Provincial Key Laboratory for Novel Distributed Computer Software Technology, Jinan, China
Abstract:Situations characterised by the presence of a high density of pedestrians involved in negative interactions (e.g. flows in opposite directions) often represent a problematic scenario for simulation models, especially those taking a discrete approach to the representation and management of spatial aspects of the environment. While these situations can be relatively infrequent, and even if architects, event organisers and crowd managers actually try to prevent them as much as possible, they simply cannot be neglected and they actually represent interesting situations to be analysed by means of simulation. The paper presents specific extensions to a floor-field Cellular Automata pedestrian model that are specifically aimed at supporting the simulation of high density situations comprising negative interactions among pedestrians without incurring in the traditional limits of discrete approaches. The models are formally described and experimented in experimental and real world situations.
Keywords:Agent-based simulation  Pedestrian simulation
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