This thesis deals with the optimal use of existing models that predict certain phenomena of
the road traffic system. Such models are extensively used in Advanced Traffic Information …

Recent research has shown that there exists large heterogeneity in car-following behaviour
such that different car-following models best describe different drivers' behaviour. A literature …

Car following models have been studied with many diverse approaches for decades.
Nowadays, technological advances have significantly improved our traffic data collection …

Car-following behavior is a key component of microscopic traffic simulation. Numerous
models based on traffic flow theory have been developed for decades in order to represent …

This thesis is concerned with modeling of driver behavior based on data collected from real
traffic using an advanced instrumented vehicle. In particular, the focus is on driver-following …

Microscopic simulation models have become widely applied tools in traffic engineering.
Nevertheless, parameter identification of these models remains a difficult task. This is for one …

Intelligent transportation systems require detailed car-following models that could represent
driving behavior in an efficient way. Moving towards autonomous vehicles, models should …

In order to achieve a complete insight in the state-of-the-art of traffic modelling, several
typical car-following models are evaluated by using trajectory data from real traffic conditions …

Microscopic roadway traffic simulators, which attempt to mimic real-world driver behaviors,
are based on car-following models. The accuracy and reliability of microscopic traffic …

Over the last few decades, there have been two main streams of data used for driving
behavior research: trajectory data collected from the field [such as using video recordings …