The SCOOT Urban Traffic Control system is now operating in over 170 cities worldwide, including 7 systems in North America. Since the first system was installed, there has been a continuous program of research and development to provide new facilities to meet the requirement of the traffic manager. The latest version of SCOOT (Version 3.1) incorporates a traffic information database, ASTRID, and an incident-detection system, INGRID, and provides a number of facilities for congestion control. The traffic monitoring facilities of SCOOT, including a new facility to estimate emissions from vehicles, and the current program of work to enhance the incident-detection system and to provide additional facilities to manage incidents and congestion are reported in this paper. The work is being carried out as part of the European Union, DGXIII 4th Framework project, COSMOS, with additional funding from the UK Department of Transport. The enhanced system is to be installed in the Kingston Borough of London, where it will be tested in combination with congestion warning information provided by variable message signs.
Harmonic transcriptions by ear rely heavily on subjective perceptions, which can lead to disagreement between annotators. The current computational metrics employed to measure annotator disagreement are useful for determining similarity on a pitch-class level, but are agnostic to the functional properties of chords. In contrast, music theories like Hugo Riemann's theory of 'harmonic function' acknowledge the similarity between chords currently unrecognised by computational metrics. This paper, utilises Riemann's theory to explain the harmonic annotator disagreements in the Chordify Annotator Subjectivity Dataset. This theory allows us to explain 82% of the dataset, compared to the 66% explained using pitch-class based methods alone. This new interdisiplinary application of Riemann's theory increases our understanding of harmonic disagreement and introduces a method for improving harmonic evaluation metrics that takes into account the function of a chord in relation to a tonal centre.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.