Multi Exit Configuration of Mesoscopic Pedestrian Simulation

Autor:	Lao, Allan, Teknomo, Kardi
Rok vydání:	2016
Předmět:	Computer Science - Multiagent Systems Computer Science - Artificial Intelligence Computer Science - Computers and Society
Druh dokumentu:	Working Paper
Popis:	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 Comment: 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
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1609.01475 Zobrazit plný text záznamu View this record from Arxiv