Avoid or Follow? Modelling Route Choice Based on Experimental Empirical Evidences
Computer-based simulation of pedestrian dynamics reached meaningful results in the last decade, thanks to empirical evidences and acquired knowledge fitting fundamental diagram constraints and space utilization.Moreover, computational models for pedestrian wayfinding often neglect extensive empirical evidences supporting the calibration and validation phase of simulations.The paper presents the results of a set of controlled experiments (with human volunteers) designed and performed to understand pedestrians route choice.The setting offers alternative paths to final destinations, at different crowding conditions.Results show that the length of paths and level of congestion influence decisions (negative feedback), as well as imitative behaviour of emergent leaders choosing a new path (positive feedback).A novel here illustrated model for the simulation of pedestrian route choice captures such evidences, encompassing both the tendency to avoid congestion and to follow emerging leaders.The found conflicting tendencies are modelled with the introduction of a utility function allowing a consistent calibration over the achieved results.A demonstration of the simulated dynamics on a larger scenario will be also illustrated in the paper.
Pedestrian Dynamics Route Choice Experiment Simulation Validation
Luca Crociani Daichi Yanagisawa Giuseppe Vizzari Katsuhiro Nishinari Stefania Bandini
Complex Systems and Artificial Intelligence research center, University of Milano-Bicocca Viale Sarc Research Center for Advanced Science and Technology, The University of Tokyo 4-6-1 Komaba, Meguro-ku Complex Systems and Artificial Intelligence research center, University of Milano-Bicocca Viale Sarc
国际会议
The 8th International Conference on Pedestrian and Evacuation Dynamics (第八届行人与疏散动力学国际学术会议)
合肥
英文
340-347
2016-10-17（万方平台首次上网日期，不代表论文的发表时间）