#7707. An evacuation guidance model for pedestrians with limited vision

July 2026publication date
Proposal available till 24-05-2025
4 total number of authors per manuscript0 $

The title of the journal is available only for the authors who have already paid for
Journal’s subject area:
Engineering (all);
Transportation;
Places in the authors’ list:
place 1place 2place 3place 4
FreeFreeFreeFree
2350 $1200 $1050 $900 $
Contract7707.1 Contract7707.2 Contract7707.3 Contract7707.4
1 place - free (for sale)
2 place - free (for sale)
3 place - free (for sale)
4 place - free (for sale)

Abstract:
It is difficult for pedestrians with limited vision to obtain comprehensive environmental information during evacuations, so they cannot always make a proper evacuation plan to escape. For this purpose, we analyze the relationship between intermediate states and evacuation efficiency and propose an evacuation guidance model to guide pedestrians to form a series of expected states, which can reduce the evacuation time caused by congestion.
Keywords:
Crowd evacuation; evacuation guidance; limited vision; reinforcement learning

Contacts :
0