Speeding is considered as one of the most significant contributing factors to severe traffic
crashes. Understanding the associations between trip/driving/roadways features and …

This paper presents an intelligent speed adaption system for vehicles on conventional
roads. The fuzzy logic based expert system outputs a recommended speed to ensure both …

In recent years, innovative progress in information and communication technology (ICT) has
introduced new sources for traffic data collection and analysis. On-board sensors like GPS …

There is an abundance of research on road-crash-influencing factors; however, it often relies
on a limited subset of variables. The aim of this work was to analyze the significance of road …

Prediction of vehicle speed profiles is vital to many transportation and vehicular applications.
However, accurately predicting these profiles remains challenging due to the complex and …

Improving the road network according to the principles of self-explaining roads is a
promising way to increase the level of safety; however, there are no universal guidelines on …

To overcome limitations of crash-based analyses of road safety, researchers are looking for
surrogate measures of safety. Floating car data (FCD, or probe vehicle data) provides …

The main objective of this study is to put forward a typology to describe better associations
between road segments and driving patterns as reflected by driving speed. As the first step …

In the Intelligent Transportation Systems, integration of different components of the classical
driver‐vehicle‐infrastructure system is supported by advances in technology and …

In order to overcome biases of crash-based safety analyses, research is looking for
surrogate safety 7 measures. A candidate are speeds derived from floating car data (FCD, or …