Optimized Visualization of Capacity Information in Public Transport Networks

The utilization of public transport vehicles is of growing interest to transport companies and public transport authorities. Against the backdrop of the transport transition, a targeted increase in capacity is necessary in order to meet the expected increase in demand. Transport companies and their authorities are faced with the challenge of recording the utilization of individual journeys and entire networks and, if necessary, making adjustments where capacities are already reaching their limits. The data required for this is often collected with the help of automatic passenger counting systems. However, the visualization of this data is rarely adapted to the actual applications required. This project presents a user-centric approach for the optimized visualization of utilization information. To this end, user workflows and available data are first analyzed. Based on the information obtained, individual use cases and a prototype for visualizing the data are developed. A final evaluation of the prototype rounds off the work.

Authors

Publication Details

Journal
AHFE international
Published
2025-01-01
DOI
https://doi.org/10.54941/ahfe1006508
Primary Topic
Complex Network Analysis Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Optimized Visualization of Capacity Information in Public Transport Networks

Waldemar Titov, Thomas Schlegel, Sebastian Knopf
AHFE international
Complex Network Analysis Techniques
article

Optimized Visualization of Capacity Information in Public Transport Networks

Waldemar Titov, Thomas Schlegel, Sebastian Knopf
article en

Abstract

The utilization of public transport vehicles is of growing interest to transport companies and public transport authorities. Against the backdrop of the transport transition, a targeted increase in capacity is necessary in order to meet the expected increase in demand. Transport companies and their authorities are faced with the challenge of recording the utilization of individual journeys and entire networks and, if necessary, making adjustments where capacities are already reaching their limits. The data required for this is often collected with the help of automatic passenger counting systems. However, the visualization of this data is rarely adapted to the actual applications required. This project presents a user-centric approach for the optimized visualization of utilization information. To this end, user workflows and available data are first analyzed. Based on the information obtained, individual use cases and a prototype for visualizing the data are developed. A final evaluation of the prototype rounds off the work.

AHFE internationalVol. 186
Openalex Percentile: Top 88%
Complex Network Analysis Techniques
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