In this paper, we present our work on clustering and prediction of temporal evolution of
global congestion configurations in a large-scale urban transportation network. Instead of …

Simulating traffic flow is an important problem in transport planning. The most popular
simulation approaches for large-scale scenarios today are aggregated models …

In this paper, we propose to perform clustering and temporal prediction on network-level
traffic states of large-scale traffic networks. Rather than analyzing dynamics of traffic states …

Statistical traffic data analysis is a hot topic in traffic management and control. In this field,
current research progresses focus on analysing traffic flows of individual links or local …

Our life is strongly influenced by travel which enables the mode of living we are used to in
the first place. This importance of travel and the resulting desire for reliable and effective …

Traffic flow microsimulations are interesting for transport planning problems due to their high
temporal and spatial resolution. Unfortunately, most of them involve high computational …

We propose a set of methods aiming at extracting large scale features of road traffic, both
spatial and temporal, based on local traffic indexes computed either from fixed sensors or …

VERKEHRSMODELLE+ VERKEHRSSIMULATION (VERKEHR UND TRANSPORT);
VERKEHRSFLUSS+ VERKEHRSABLAUF (VERKEHR UND TRANSPORT); …

In order to increase security in road traffic, driver assistance systems became an important
topic in research. For these systems inter-vehicle communication is very promising as it can …

Simulating traffic flow is an important problem in transport planning. The most popular
simulation approaches for large scale scenarios today are aggregated models …