MODELING PEDESTRIAN FLOWS BETWEEN REGIE CAMPUS AND POLITEHNICA UNIVERSITY CAMPUS IN ORDER TO DESIGN A MOVING WALKWAY TRANSFER SYSTEM – PART 1

This study offers a comprehensive analysis of pedestrian traffic between the Regie Campus and Politehnica Bucharest campus, aiming to create a moving walkway transfer system. The research use queuing theory to predict pedestrian arrivals and validates the data against theoretical distributions, revealing that pedestrian movement across different time intervals closely adheres to a Poisson distribution. Comprehensive field data gathered over several weeks was divided and examined at minute-level intervals to get precise empirical arrival frequencies. The comparison of empirical and theoretical models via χ² tests established the concordance, thereby justifying the application of a Poisson model for pedestrian arrival patterns. These findings establish the basis for enhancing service velocities and infrastructure capacity for a moving walkway system, providing a scalable method for advancing urban campus mobility.

Authors

Publication Details

Journal
ANNALS OF THE ACADEMY OF ROMANIAN SCIENTISTS Series on ENGINEERING SCIENCES
Published
2025-06-17
DOI
https://doi.org/10.56082/annalsarscieng.2025.1.61
Primary Topic
Evacuation and Crowd Dynamics
Type
article
Field-Weighted Citation Impact
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article

MODELING PEDESTRIAN FLOWS BETWEEN REGIE CAMPUS AND POLITEHNICA UNIVERSITY CAMPUS IN ORDER TO DESIGN A MOVING WALKWAY TRANSFER SYSTEM – PART 1

Augustin Semenescu, Florin Ruscă, Ionuț-Cosmin CHIVA, Remus – Andrei DOBRINOIU
ANNALS OF THE ACADEMY OF ROMANIAN SCIENTISTS Series on ENGINEERING SCIENCES
Evacuation and Crowd Dynamics
article

MODELING PEDESTRIAN FLOWS BETWEEN REGIE CAMPUS AND POLITEHNICA UNIVERSITY CAMPUS IN ORDER TO DESIGN A MOVING WALKWAY TRANSFER SYSTEM – PART 1

Augustin Semenescu, Florin Ruscă, Ionuț-Cosmin CHIVA, Remus – Andrei DOBRINOIU
article en

Abstract

This study offers a comprehensive analysis of pedestrian traffic between the Regie Campus and Politehnica Bucharest campus, aiming to create a moving walkway transfer system. The research use queuing theory to predict pedestrian arrivals and validates the data against theoretical distributions, revealing that pedestrian movement across different time intervals closely adheres to a Poisson distribution. Comprehensive field data gathered over several weeks was divided and examined at minute-level intervals to get precise empirical arrival frequencies. The comparison of empirical and theoretical models via χ² tests established the concordance, thereby justifying the application of a Poisson model for pedestrian arrival patterns. These findings establish the basis for enhancing service velocities and infrastructure capacity for a moving walkway system, providing a scalable method for advancing urban campus mobility.

ANNALS OF THE ACADEMY OF ROMANIAN SCIENTISTS Series on ENGINEERING SCIENCESVol. 17(1)
Openalex Percentile: Top 82%
Evacuation and Crowd Dynamics
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