Abstract Road user behaviour is an essential factor of increasing the rate traffic accidents worldwide. safety experts and scientists consider aspects road users' to be main risk factors for fatalities. These include drinking alcohol, speeding, not wearing seat belts, helmets when riding two-wheeled vehicles, using child restraints, consuming illegal drugs, being distracted by mobile phone use....

This research develops a non-linear continuous optimisation model to estimate tolls for multi-class and multi-period traffic considering integral social costs such as congestion externalities, pavement damage, environmental emissions, operational travel costs, user time cost, in addition maintenance construction of road infrastructure costs. The approach uses welfare principles, formulating fun...

Contents of the project: It is a proven fact that road safety problems are not unsolvable. This leads to questions such as which priorities to set, which measures to take, and which effects to expect. In order to be able to answer all these questions, data, knowledge and information are needed to give a comprehensive and objective picture of the road safety problems and of the effectiveness and...

A laboratory experiment was conducted to investigate the alerting effect of light under lighting conditions typical road lighting. After a 2-h adaptation period, representing domestic interior, participants were exposed for further hour one four conditions, with illuminance at eye and spectral power distribution varied give melanopic equivalent daylight <0.5 lx about 10 lx. During this latte...

Raster maps are an important source of road information. Because of the overlapping map features (e.g., roads and text labels) and the varying image quality, extracting road vector data from raster maps usually requires significant user input to achieve accurate results. In this paper, we present an accurate road vectorization technique that minimizes user input by combining our previous work o...