Automatic bottleneck detection using AVL data

Automatic bottleneck detection using AVL data: A case study in Amsterdam

Brands, T. (TU Delft Transport and Planning)
van Oort, N. (TU Delft Transport and Planning)
Yap, M.D. (TU Delft Transport and Planning)

2018

In daily practice, public transport authorities and operators are constantly searching for improvements in public transport operations. To this end, it is necessary to identify inefficiencies and bottlenecks in the current public transport services. In this paper, we propose a method to automatically detect bottlenecks in the public transport network, using Automatic Vehicle Location data. A tool is developed to automatically process AVL data to identify bottlenecks for the current situation. This tool is applied to Amsterdam, capital of the Netherlands, where a new metro line will come into operation in the summer of 2018. The results show that bottlenecks are mainly found on radial lines and in the inner city. Therefore we expect that the operations of the tram network will improve in terms of operating speed and reliability due to the opening of the metro line, since the tram lines are expected to become less crowded and fewer lines will traverse the inner city.

AVL data
Bottleneck detection
Performance indicators
Service Reliability

http://resolver.tudelft.nl/uuid:dfda29f4-afcf-4852-aadf-2c6e1f78333d

Proceedings of Conference on Advanced Systems in Public Transport (CASPT) 2018: 23-25 July, Brisbane, Australia

Caspt 2018: 14th Conference on Advanced Systems in Public Transport and TransitData 2018, 2018-07-23 → 2018-07-25, Brisbane Convention and Exhibition Centre, Brisbane, Australia

Institutional Repository

conference paper

© 2018 T. Brands, N. van Oort, M.D. Yap