In the current geopolitical and economic conditions, issue of making operational management decisions for effective functioning country's enterprises is particularly acute, taking into account organizational technological features, as well increasing levels risk uncertainty associated, among other things, with need to process flows specific rapidly changing information. this regard, intelligent...

The incorporation of Artificial Intelligence algorithms in Intelligent Transportation Systems gives rise to new opportunities for a more sustainable urban mobility. However, one the main challenges is decide when and where these techniques should be applied; several options appear, such as cloud computing, fog edge or even devices. In this paper, an Internet Things-based solution smart traffic ...

A gas chromatograph/electron capture detector-ion trap mass spectrometer (GC/ECD-ITMS) was used for the determination of polybrominated diphenyl ethers (PBDEs) in euryhaline fish and crabs. GC/ECD-ITMS results showed that average recoveries from the spiked fish samples are in a range of 58-123% with relative standard deviations (RSDs) of 5-19%. PBDE concentrations obtained from GC/ECD-ITMS rang...

The model of interactive Turing machines (ITMs) has been proposed to characterise which stream translations are interactively computable; the model of reactive Turing machines (RTMs) has been proposed to characterise which behaviours are reactively executable. In this article we provide a comparison of the two models. We show, on the one hand, that the behaviour exhibited by ITMs is reactively ...

Although advanced traffic management systems can deal with the heterogeneous traffic flows approaching of intersections, their performances are compromised, when the traffic volume is not distributed uniformly. To evenly distribute the traffic flow, an advanced driver information system should be aware of the traffic control operations. However, such requirement can not ultimately be satisfied ...

In a world that is increasingly reliant on automobiles, efficient management of the transportation network is a key functionality of intelligent transportation systems (ITS). A wide range of these ITS applications rely on the extraction of current data as well as historical information in order to perform appropriately. This work presents a novel computer vision based approach for traffic manag...

A low-pressure gas chromatography-ion trap mass spectrometry (LPGC-ITMS) method was investigated to shorten the analysis time for 18 US Environmental Protection Agency priority listed polycyclic aromatic hydrocarbons (PAHs). Their elution was optimised with a short, wide-bore column coupled to a deactivated capillary at the inlet end and with a long, conventional column to compare their analyti...

Due to the continuously increasing mobility demand the efficiency of the existing road infrastructure should be improved. Advanced control and management techniques offer promising, cost effective and environmentally friendly solutions to the problem. As traffic and vehicle control/management applications become more advanced they require more and more detailed and accurate real-time observatio...

This paper reports our experiences with agent-based architectures for Intelligent Traffic Management. We describe and compare TRYS and TRYSA2, two multiagent systems that perform decision support for real time traffic management in the urban motorway network around Barcelona. Both systems draw upon similar traffic management knowledge, but the former is based on a centralised architecture, whil...