NDLI: Simulating Crowd Movements Using Fine Grid Cellular Automata

Content Provider	IEEE Xplore Digital Library
Author	Sarmady, S. Haron, F. Talib, A.Z.
Copyright Year	2010
Abstract	Cellular automata models have been extensively used for simulating pedestrian movements. One weakness of this type of models, is the size of the cells which is mostly considered to be of the size of a pedestrian (i.e. 40cm*40cm or near to it). Each pedestrian stands in a single cell and during simulation time steps, transits to neighbouring cells. The size of the cells dictates discrete speed steps for pedestrians and chess like movements. A pedestrian could move one or more cells in a simulation time step or do not move at all. In order to have more smooth movement and different speeds for pedestrians (i.e. from different ages, physical and health status) we propose a finer grid cellular automata. We use this model to build a least effort cellular automata movement algorithm. The algorithm has been used in small scale movement layer of our multi-agent crowd simulation platform in order to allow more realistic simulations of crowd flows. A simple walkway scenario has been used to test the outcome of the model. Results of the simulation are reported in this paper.
Starting Page	428
Ending Page	433
File Size	429427
Page Count	6
File Format	PDF
ISBN	9781424466146
e-ISBN	9781424466153
DOI	10.1109/UKSIM.2010.85
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-03-24
Publisher Place	United Kingdom
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computational modeling Computer simulation Software algorithms Buildings Humans Discrete event simulation Cellular automata Automata crowd simulation Grid computing pedestrian Collision avoidance crowd flow Testing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Modeling Groups of Pedestrians in Least Effort Crowd Movements Using Cellular Automata

Multi-Agent Simulation of Circular Pedestrian Movements Using Cellular Automata

Modeling and simulation of crowd using cellular discrete event systems theory

A Data-Driven Approach for Simulating Pedestrian Collision Avoidance in Crossroads

Large Crowd Dynamics: A Novel Crowd Simulator Using Potential Fields

Simulation of Pedestrian Movements Using Fine Grid Cellular Automata Model

Simulation of Wheelchair Movements in Crowd Using Fine Grid Cellular Automata

A Review of Collision Avoidance Technique for Crowd Simulation

Crowd Simulation for Evacuation Behaviors Based on Multi-agent System and Cellular Automaton

Simulating Crowd Movements Using Fine Grid Cellular Automata

Similar Documents

Modeling Groups of Pedestrians in Least Effort Crowd Movements Using Cellular Automata

Multi-Agent Simulation of Circular Pedestrian Movements Using Cellular Automata

Modeling and simulation of crowd using cellular discrete event systems theory

A Data-Driven Approach for Simulating Pedestrian Collision Avoidance in Crossroads

Large Crowd Dynamics: A Novel Crowd Simulator Using Potential Fields

Simulation of Pedestrian Movements Using Fine Grid Cellular Automata Model

Simulation of Wheelchair Movements in Crowd Using Fine Grid Cellular Automata

A Review of Collision Avoidance Technique for Crowd Simulation

Crowd Simulation for Evacuation Behaviors Based on Multi-agent System and Cellular Automaton

Simulating Crowd Movements Using Fine Grid Cellular Automata