2014/01/31 by Stefania Bandini, Bandini, Stefania, Luca Crociani +3
Engineering · #68U20 #Evacuation and Crowd Dynamics #FOS: Computer and information sciences #I.6.4 #Multiagent Systems (cs.MA) #Traffic Prediction and Management Techniques #Traffic and Road Safety #Traffic control and management
paper · pdf · doi:10.48550/arxiv.1401.8132
openalex publication_date 2014/01/31 · openalex created_date 2022/10/01 · openalex updated_date 2026/07/28
Discrete pedestrian simulation models are viable alternatives to particle\nbased approaches based on a continuous spatial representation. The effects of\ndiscretisation, however, also imply some difficulties in modelling certain\nphenomena that can be observed in reality. This paper focuses on the\npossibility to manage heterogeneity in the walking speed of the simulated\npopulation of pedestrians by modifying an existing multi-agent model extending\nthe floor field approach. Whereas some discrete models allow pedestrians (or\ncars, when applied to traffic modelling) to move more than a single cell per\ntime step, the present work proposes a maximum speed of one cell per step, but\nwe model lower speeds by having pedestrians yielding their movement in some\nturns. Different classes of pedestrians are associated to different desired\nwalking speeds and we define a stochastic mechanism ensuring that they maintain\nan average speed close to this threshold. In the paper we formally describe the\nmodel and we show the results of its application in benchmark scenarios.\nFinally, we also show how this approach can also support the definition of\nslopes and stairs as elements reducing the walking speed of pedestrians\nclimbing them in a simulated scenario.\n