Back to Top

■ Estimation of Delays for Individual Trams to Monitor Issues in Public Transport Infrastructure

Luckner, M., & Karwowski, J. (2017, September). Estimation of Delays for Individual Trams to Monitor Issues in Public Transport Infrastructure. In Conference on Computational Collective Intelligence Technologies and Applications (pp. 518-527). Springer, Cham. ISO 690
Open stream data on public transport published by cities can be used by third party developers such as Google to create a real-time travel planner. However, such system should predict future events on roads. We have used open stream data with current trams' localisations and timetables to estimate current delays of individual trams. On that base, we calculate a global coefficient that can be used as a measure to monitor a current situation in a public transport network. Fig. 1 shows how the ratio of the trams with huge delay exceeds the ratio of the tram with low delay. That is an impulse to predict future problems with public transport. Fig. 2 compares the distribution of delayed trams when the alarm was raised and one hour later. That shows how a critical situation for a public transport network can be detected before the peak points of cumulative delays.

Abstract:

Open stream data on public transport published by cities can be used by third party developers such as Google to create a real–time travel planner. However, even a real data based system examines a current situation on roads. We have used open stream data with current trams’ localisations and timetables to estimate current delays of individual trams. On that base, we calculate a global coefficient that can be used as a measure to monitor a current situation in a public transport network. We present an use case from the city of Warsaw that shows how a critical situation for a public transport network can be detected before the peak points of cumulative delays.

Bibtex Entry:

@Inbook{Luckner2017,
author="Luckner, Marcin
and Karwowski, Jan",
editor="Nguyen, Ngoc Thanh
and Papadopoulos, George A.
and J{\k{e}}drzejowicz, Piotr
and Trawi{\'{n}}ski, Bogdan
and Vossen, Gottfried",
title="Estimation of Delays for Individual Trams to Monitor Issues in Public Transport Infrastructure",
bookTitle="Computational Collective Intelligence: 9th International Conference, ICCCI 2017, Nicosia, Cyprus, September 27-29, 2017, Proceedings, Part I",
year="2017",
publisher="Springer International Publishing",
address="Cham",
pages="518--527",
abstract="Open stream data on public transport published by cities can be used by third party developers such as Google to create a real--time travel planner. However, even a real data based system examines a current situation on roads. We have used open stream data with current trams' localisations and timetables to estimate current delays of individual trams. On that base, we calculate a global coefficient that can be used as a measure to monitor a current situation in a public transport network. We present an use case from the city of Warsaw that shows how a critical situation for a public transport network can be detected before the peak points of cumulative delays",
isbn="978-3-319-67074-4",
doi="10.1007/978-3-319-67074-4_50",
url="https://doi.org/10.1007/978-3-319-67074-4_50"
}