A5092494818- Traffic and Road Safety
- Traffic Prediction and Management Techniques
- Water resources management and optimization
- Human Mobility and Location-Based Analysis
- Transportation Planning and Optimization
- Urban Transport and Accessibility
- Urban and Freight Transport Logistics
- Multi-Criteria Decision Making
- Optimization and Mathematical Programming
- Evacuation and Crowd Dynamics
Universidad Católica del Norte
2022-2024
Today, urban development faces complex global challenges that require new approaches to influence its practices and policies. By prioritizing sustainability, mobility, community resilience, we are moving towards a holistic approach protects the well-being of residents environment. In this dynamic design environment, finding ways identify pedestrian-friendly spaces create safe, efficient, sustainable environments is major challenge, it requires research seeks optimize choice, especially in...
This research develops a novel MCDM approach that combines the ordinal priority (OPA) and weighted influence nonlinear gauge system (WINGS), for policy making about undergraduate programs specifically elective courses. We interviewed eight professors at School of Engineering, Universidad Catolica del Norte, who are highly engaged in organizing courses to obtain their prioritization criteria offering them students. proposed applied an based on OPA-WINGS rank make process planning future...
Among transportation researchers, pedestrian issues are highly significant, and various solutions have been proposed to address these challenges. These approaches include Multi-Criteria Decision Analysis (MCDA) machine learning (ML) techniques, often categorized into two primary types. While previous studies addressed diverse methods issues, this research integrates modeling with MCDA ML approaches. This paper examines how can be combined enhance decision-making in dynamics. Drawing on a...
Pedestrian modeling has made significant progress, studying the pedestrian as an individual and also their behavior in face of obstacles environment, from confined access spaces to interaction movement a large number other people. In this paper we wish explore hybrid models that allow simulating dynamics supported by machine learning techniques make. The results previous work, together with experiments are favorable for advancing toward methodology can incorporate development simulation...