Traffic incidents due to non-recurring congestion frequently occur in urban environments. In
this study, we propose the estimation and detection of traffic incidents based on independent …

Advanced driver assistance systems such as adaptive cruise control (ACC) and lane
keeping system (LKS) potentially contribute to reducing crash rates and traffic congestion …

The human factor is one of the most critical parameters in car accidents and even traffic
occurrences. Driving style affected by human factors comprises driving events (maneuvers) …

Understanding driver behaviour is important to improve road safety and it is essential that
drivers become aware of their contribution to road traffic impacts through their driving styles …

An accurate, fast and real-time expressway automatic incident detection (AID) algorithm can
not only reduce the burden of expressway management personnel, but also increase the …

Traffic accidents occurring on expressways tend to give rise to traffic bottlenecks. To ensure
the vehicles safely and smoothly pass through the accident segments, speed limits are …

Traffic incidents (such as broken-down vehicles, accidents, flat tires and other) constitute an
important concern in the urban context, impacting the sustainable development. Thus …

Based on the Nagel-Schreckenberg model, an improved cellular automaton traffic flow
model is proposed, in which the random deceleration probability of each vehicle is no longer …

This thesis is the final requirement to obtain my master's degree in Transport, Infrastructure
and Logistics at the Technical University of Delft. I started my journey in Delft in 2014 with …

Simulações de direção e de tráfego são ferramentais recorrentes em estudos na área de
transportes. Estudos com Simuladores integrados que desenvolvam simultaneamente …