A5003718674- Evacuation and Crowd Dynamics
- Traffic control and management
- Transportation Planning and Optimization
- Urban Design and Spatial Analysis
- Data Visualization and Analytics
- Traffic and Road Safety
- Cellular Automata and Applications
- Opinion Dynamics and Social Influence
- Traffic Prediction and Management Techniques
- Human Mobility and Location-Based Analysis
- Complex Network Analysis Techniques
- Energy Load and Power Forecasting
- Evolutionary Algorithms and Applications
- Simulation Techniques and Applications
- Robotic Path Planning Algorithms
- Mobile Crowdsensing and Crowdsourcing
- Fire dynamics and safety research
- Winter Sports Injuries and Performance
- Advanced Data Storage Technologies
- Machine Learning in Healthcare
- Metaheuristic Optimization Algorithms Research
- Solar Radiation and Photovoltaics
- Anomaly Detection Techniques and Applications
- Artificial Intelligence in Healthcare and Education
- Video Surveillance and Tracking Methods
Jagiellonian University
2023-2024
AGH University of Krakow
2015-2024
University of Milano-Bicocca
2023
All Russia Research Institute of Automatics
2006
Reliable Software Resources (United States)
1999-2005
The aim of the paper is an analysis self-organization patterns observed in unidirectional flow pedestrians. On basis experimental data from Zhang et al. [J. al., J. Stat. Mech. (2011) P06004], we analyze mutual positions and velocity correlations between pedestrians when walking along a corridor. angular spatial dependencies reveal structure that remains stable during crowd motion. This differs depending on value $n$, for consecutive $n\text{th}$-nearest-neighbor position set. preferred...
We developed the Enhanced Transformer for Health Outcome Simulation (ETHOS), an AI model that tokenizes patient health timelines (PHTs) from EHRs. ETHOS predicts future PHTs using transformer-based architectures. The Adaptive Risk Estimation System (ARES) employs to compute dynamic and personalized risk probabilities clinician-defined critical events. ARES incorporates a explainability module identifies key clinical factors influencing estimates individual patients. was evaluated on MIMIC-IV...
Five evacuation experiments were performed in a road tunnel order to test how pedestrians react when exposed reduced visibility, the decision making process is carried out, and finally what impact of various circumstances like: different level smokiness, competitive behavior or learning effect on an process. In four artificial, non-toxic smoke. During group people gathered low moderate smokiness (when Cs < 0.5m−1) we observed multi-line patterns created by pedestrians. Decision was engaged...
The knowledge of the issues connected with pedestrian can be very helpful in proper desing buildings or other facilities. A simulation should take into consideration both, normal as well evacuation conditions. Over recent years several models movement have been created. first part article contains a brief review some available models. Then, author propose model pedestrians group dynamics and situations. 2D cellular automata, multi-agent is proposed takes account strategic abilities each...
In the quest for sustainable energy solutions, predicting electricity prices renewable sources plays a pivotal role in efficient resource allocation and decision making. This article presents novel approach to forecasting using deep learning models, leveraging historical data from power system operator (PSE). The proposed methodology encompasses collection, preprocessing, feature engineering, model selection, training, evaluation. By harnessing of recurrent neural networks (RNNs) other...
The paper describes relation between positions of individuals in a crowd, namely dependence position pedestrian and his/her nearest neighbors. Two main characteristics have been analyzed: nth neighbors’ spatial angular distributions. At first sight, people human crowd seem to be located randomly, however, the authors findings indicate that there are clearly visible patterns analyzed characteristics. discover symptoms strong correlations closely pedestrians. Simple, local movement rules for...