Efficiently predicting traffic congestion benefits various traffic stakeholders, from regular
commuters and logistic operators to urban planners and responsible authorities. This study …

The rising need for mobility, especially in large urban centers, consequently results in
congestion, which leads to increased travel times and pollution. Advanced traffic …

Taxi trajectories from urban environments allow inferring various information about the
transport service qualities and commuter dynamics. It is possible to associate starting and …

Traffic congestion in urban environments has severe influences on the daily life of people.
Due to typical recurrent mobility patterns of commuters and transport fleets, we can detect …

Transport hubs such as airports and railway stations are places where plenty of passengers
are exchanged between vehicles or between transport modes. Analyzing their mobility …

Daily mobility patterns in highly populated urban environments rely on a well-functioning
effective road network. Nevertheless, traffic bottlenecks are typical for urban environments …

Traffic congestion remains a stumbling block in an efficient and accessible road network.
Attempts have been investigated to monitor congested areas and propose mitigation …

Vehicle traffic in urban environments consists of a variation of traffic phenomena. Defining
and measuring these traffic phenomena is challenging, since traffic sensors can still not …

Investigating traffic volume is essential in order to be able to determine the impact of current
and future traffic on road networks. The present study examines the Annual Average Daily …

Tägliche Mobilität in hochbesiedelten urbanen Regionen der Welt ist auf gut fun tionierende
effe tive Straßennetzwer e angewiesen. Ver ehrsengpässe sind jedoch typisch für urbane …