On the new era of urban traffic monitoring with massive drone data: The pNEUMA large-scale field experiment
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The results of a field experiment carried out to assess the accuracy and efficiency of a new in-vehicle navigation algorithm, whose aim is to incorporate and consider travel time reliability and route the guided vehicle along uncongested roads, in the abse ...
In Switzerland, the calculation method of road traffic noise is specified in the Ordonnance sur la protection contre le bruit (OPB) (Noise Protection Ordonnance (NPO)). This method is mainly based on observations that were realized in the 80s, and that are ...
An efficient method to estimate queues at traffic lights is proposed. Using floating car data and providing flexible capabilities for data fusion, it yields high-quality estimates for the traffic states at traffic lights at quite realistic scenarios. ...
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Road traffic emissions, one of the largest source categories in megacity inventories, are highly uncertain. It is essential to develop methodologies to reduce these uncertainties to manage air quality more effectively. In this paper, we propose a methodolo ...
Car navigation is a field in broad expansion and the industry quickly developed a standard to model cartographic data useful for the applications of the road transport telematics: GDF, Geographic Data Files. Since its first version in 1988, GDF became an I ...
Cities with medium to high traffic volumes are expected to keep the traffic rolling in a most efficient way. Accidents, construction sites or large events are counteracting this effort. In addition, cities are facing the fact that traffic signal plans conf ...
London has a long history of successful schemes for bus priority at traffic signals. Recently, Transport for London (TfL) has procured a modern automatic vehicle location (AVL) system for bus fleet management, passenger information and bus priority. The ne ...
“Pavement conditions from intelligent pavements and intelligent vehicles”, aims to improve the management of road network maintenance through smart methods able to predict the deterioration process and actual condition in unobtrusive ways and to make this ...