TY - GEN
T1 - Rail Transit Data Architecture-A Case Study of The Bangkok Rail Transit System
AU - Samitiwantikul, Lalitphan
AU - Weerawat, Waressara
AU - Norrman, Andreas
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Urban railway systems play an important role in creating sustainable cities, especially in megacities where they serve as the backbone of mass transit. Providing connection information for urban rail systems is essential to ensure continued use of public transport by passengers. However, metro systems can be operated by different service providers, creating challenges in connecting information which may lead to reduced public transport use. Data exchange is required, therefore, to allow information to be shared with agencies responsible for passenger information. Standard data exchange enables data from several service operators to be integrated into a common data structure enhancing comprehensive connection information to support smooth travel. For Bangkok rail transit, there are three different government agencies which currently provide ten rail lines. In this case, rail transit data is individually provided leading to separate railway passenger information, and there is a lack of rail overview planning. This paper deals with the question, what data structure is required to standardize and integrate Bangkok's urban rail data? We demonstrated a rail data architecture design and data visualization analysis in the context of the Bangkok rail transit system. A data visualization tool has been used to represent the analysis results derived from the designed data structure. The results show the concept design of the data architecture for Bangkok's rail data center and the data visualization to be applied to the common rail data set.
AB - Urban railway systems play an important role in creating sustainable cities, especially in megacities where they serve as the backbone of mass transit. Providing connection information for urban rail systems is essential to ensure continued use of public transport by passengers. However, metro systems can be operated by different service providers, creating challenges in connecting information which may lead to reduced public transport use. Data exchange is required, therefore, to allow information to be shared with agencies responsible for passenger information. Standard data exchange enables data from several service operators to be integrated into a common data structure enhancing comprehensive connection information to support smooth travel. For Bangkok rail transit, there are three different government agencies which currently provide ten rail lines. In this case, rail transit data is individually provided leading to separate railway passenger information, and there is a lack of rail overview planning. This paper deals with the question, what data structure is required to standardize and integrate Bangkok's urban rail data? We demonstrated a rail data architecture design and data visualization analysis in the context of the Bangkok rail transit system. A data visualization tool has been used to represent the analysis results derived from the designed data structure. The results show the concept design of the data architecture for Bangkok's rail data center and the data visualization to be applied to the common rail data set.
KW - Data Architecture
KW - Data Visualization
KW - Urban rail system
UR - https://www.scopus.com/pages/publications/105022484481
U2 - 10.1109/ICTIS68762.2025.11214963
DO - 10.1109/ICTIS68762.2025.11214963
M3 - Conference contribution
AN - SCOPUS:105022484481
T3 - 8th International Conference on Transportation Information and Safety: Transportation + Artificial Intelligence and Green Energy: Making a Sustainable World, ICTIS 2025
SP - 960
EP - 966
BT - 8th International Conference on Transportation Information and Safety
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Conference on Transportation Information and Safety, ICTIS 2025
Y2 - 16 July 2025 through 19 July 2025
ER -