Abstract
Purpose
This paper studies the influence of information and communication technologies on human reasoning and decision making. It investigates the potential impact of ambient intelligence on change in pedestrian mobility behavior, using a large city-scale scenario.
Methods
This work establishes an interplay between social and technological aspects of awareness by augmenting a model-driven framework of a realistic information eco-system. A distributed multi-agent system is developed to model a real-life urban mobility environment. The model is then simulated using a large scale parallel computing platform.
Results
Evaluation results revealed that the quality of information in ambient-assisted environments increases when compared with those without ambient intelligence.
Conclusion
We conclude that there is a positive correlation between the extent of information being shared in a socially-inspired information eco-systems and the level of collective awareness in an urban mobility scenario.
| Original language | English |
|---|---|
| Article number | 10 |
| Number of pages | 23 |
| Journal | Complex Adaptive Systems Modeling |
| Volume | 4 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - Jul 2016 |
Fields of science
- 102 Computer Sciences
- 102009 Computer simulation
- 102013 Human-computer interaction
- 102019 Machine learning
- 102021 Pervasive computing
- 102022 Software development
- 102025 Distributed systems
JKU Focus areas
- Computation in Informatics and Mathematics
- Engineering and Natural Sciences (in general)
