A simulation model of pedestrian wayfinding behaviour in familiar environments Online publication date: Tue, 08-Oct-2019
by Amina Bouguetitiche; Foudil Cherif; Fabrice Lamarche
International Journal of Computer Applications in Technology (IJCAT), Vol. 61, No. 3, 2019
Abstract: In this paper, we present a novel approach to simulate wayfinding behaviour of pedestrians familiar with their environment. This approach is inspired from spatial cognition and space syntax domains in order to achieve naturally crowd navigation. Therefore, the proposed wayfinding process is incremental; route choice decisions are made at every street junction, taking into account spatial configuration and individual knowledge of the environment as well as individual preferences. An adequate environment description is provided; it is a graph automatically generated, informed with pre-calculated data, that is used by agents to quantify the benefit cost of a route choice. The environment description is also used to endow agents with mental maps which contain the regions supposed to be experienced by them without going through a learning phase. Obtained results demonstrate that, under our model, agents calculate paths that have the same characteristics as those chosen by pedestrians familiar with their surroundings.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computer Applications in Technology (IJCAT):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook