Prediction of pedestrians routes within a built environment in normal conditions Nasir,M, Lim,CP, Nahavandi,S and Creighton,D 2014, Prediction of pedestrians routes within a built environment in normal conditions, Expert systems with applications, vol. 41, no. 10, pp. 4975-4988, doi: 10.1016/j.eswa.2014.02.034. Attached Files Name Description MIMEType Size Downloads Title Prediction of pedestrians routes within a built environment in normal conditions Author(s) Nasir,M Lim,CP orcid.org/0000-0003-4191-9083 Nahavandi,S orcid.org/0000-0002-0360-5270 Creighton,D orcid.org/0000-0002-9217-1231 Journal name Expert systems with applications Volume number 41 Issue number 10 Start page 4975 End page 4988 Total pages 14 Publisher Elsevier Place of publication Oxford, United Kingdom Publication date 2014-08 ISSN 0957-4174 Keyword(s) Dynamic programming Network-based routing Path prediction Pedestrian optimum route Utility optimization Science & Technology Technology Computer Science, Artificial Intelligence Engineering, Electrical & Electronic Operations Research & Management Science Computer Science Engineering CHOICE MODEL SIMULATION CENTRALITY DYNAMICS BEHAVIOR PATHS PREFERENCES ALGORITHM DIRECTION Summary Modelling and prediction of pedestrian routing behaviours within known built environments has recently attracted the attention of researchers across multiple disciplines, owing to the growing demand on urban resources and requirements for efficient use of public facilities. This study presents an investigation into pedestrians' routing behaviours within an indoor environment under normal, non-panic situations. A network-based method using constrained Delaunay triangulation is adopted, and a utility-based model employing dynamic programming is developed. The main contribution of this study is the formulation of an appropriate utility function that allows an effective application of dynamic programming to predict a series of consecutive waypoints within a built environment. The aim is to generate accurate sequence waypoints for the pedestrian walking path using only structural definitions of the environment as defined in a standard CAD format. The simulation results are benchmarked against those from the A* algorithm, and the outcome positively indicates the usefulness of the proposed method in predicting pedestrians' route selection activities. © 2014 Elsevier Ltd. All rights reserved. Language eng DOI 10.1016/j.eswa.2014.02.034 Field of Research 080108 Neural, Evolutionary and Fuzzy Computation Socio Economic Objective 970109 Expanding Knowledge in Engineering HERDC Research category C1 Refereed article in a scholarly journal ERA Research output type C Journal article Copyright notice ©2014, Elsevier Persistent URL http://hdl.handle.net/10536/DRO/DU:30069980 Document type: Journal Article Collections: Institute for Intelligent Systems Research and Innovation (IISRI) GTP Research Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Tue, 24 Feb 2015, 12:00:29 EST Tue, 24 Feb 2015, 12:01:29 EST Wed, 25 Feb 2015, 04:00:41 EST Wed, 25 Feb 2015, 05:06:49 EST Thu, 05 Mar 2015, 09:08:56 EST Thu, 05 Mar 2015, 09:13:05 EST Wed, 20 May 2015, 15:59:30 EST Thu, 21 May 2015, 08:09:29 EST Filtered Full Citation counts:   Cited 23 times in TR Web of Science Cited 24 times in Scopus Search Google Scholar Access Statistics: 613 Abstract Views, 2 File Downloads  -  Detailed Statistics Created: Tue, 24 Feb 2015, 12:01:29 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.