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

摘要

Open stream data on public transport published by cities can be used by third party developers such as Google to create a realtime 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.