A Knowledge-based Way-Finding Framework for Pedestrian Dynamic

TL;DR

This paper presents a knowledge-based framework for pedestrian navigation within buildings, enabling agents to adapt their routes based on evolving spatial knowledge through an event-driven mechanism that updates their cognitive maps.

Contribution

It introduces a novel framework that integrates cognitive map concepts with event-driven updates for dynamic pedestrian navigation in indoor environments.

Findings

Agents can acquire new spatial information dynamically.

The framework improves navigation adaptability in complex building layouts.

Cognitive maps enhance agent decision-making in unknown environments.

Abstract

We introduce a framework to navigate agents in buildings, inspired by the concept of "the cognitive map". It allows to route agents depending on their spacial knowledge. With help of an event-driven mechanism, agents acquire new information about their surroundings, which expands their individual cognitive map.