Multi Exit Configuration of Mesoscopic Pedestrian Simulation

2016/09/06 by Allan Lao, Lao, Allan, Kardi Teknomo +1
Computer Science · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Multiagent Systems (cs.MA) #cs.AI #cs.CY #cs.MA

paper · pdf · doi:10.48550/arxiv.1609.01475

7 pages, Lao, A. and Teknomo, K. (2014) Multi Exit Configuration of Mesoscopic Pedestrian Simulation, Proceeding of the 12th National Conference in Information Technology Education (NCITE 2014), October 23 - 25, 2014, Boracay, Philippines

arxiv created 2016/09/06 · arxiv updated 2016/09/07

Abstract

A mesoscopic approach to modeling pedestrian simulation with multiple exits is proposed in this paper. A floor field based on Qlearning Algorithm is used. Attractiveness of exits to pedestrian typically is based on shortest path. However, several factors may influence pedestrian choice of exits. Scenarios with multiple exits are presented and effect of Q-learning rewards system on navigation is investigated

Related

• Simulating multi-exit evacuation using deep reinforcement learning
• ShibuyaSocial: Multi-scale Model of Pedestrian Flows in Scramble Crossing
• An intelligent floor field cellular automata model for pedestrian dynamics
• How to Apply Assignment Methods that were Developed for Vehicular Traffic to Pedestrian Microsimulations
• The shortest time and/or the shortest path strategies in a CA FF pedestrian dynamics model