Studies in non-dispersice atomic fluorescence spectrometry

Imperial Users onl

Traffic Control and Route Choice; Capacity Maximization and Stability

Peer reviewedPublisher PD

On the convergence of the method of successive averages for calculating user equilibrium in traffic networks

Peer reviewedPostprin

On the potential for one-way electric vehicle car-sharing in future mobility systems

This research was carried out as part of the ESPRIT project, which was funded under grant agreement no. 653395 of the European Union’s Horizon 2020 research and innovation programme.Peer reviewedPublisher PD

A tool to aid redesign of flexible transport services to increase efficiency in rural transport service provision

This research was supported by the Research Councils UK Digital Economy programme award (reference: EP/G066051/1) to the dot.rural Digital Economy Hub, at the University of Aberdeen.Peer reviewedPublisher PD

On the role of frameworks and smart mobility in addressing the rural mobility problem

Acknowledgements: We would like to acknowledge the European Commission in funding the SMARTA project (Contract n. No MOVE/B4/SER/2017-473/S 12.780134), which has enabled this research to take place. The insight papers and good practice cases referred to in this paper have been completed by members of the SMARTA Consortium: MemEx (IT), University of Aberdeen (UK), Transport & Mobility Leuven (BE), Vectos (UK) and European Integrated Projects (RO).Peer reviewedPostprin

Case-Based Reasoning Approach For Managing Water Quality Incidents In Distribution Systems

Access to safe drinking water is universally considered as a fundamental human right and customers regard a reliable supply of safe, clean water as the most important aspect of the water supply service. However, water quality failures do occur, with some of the hardest to understand and manage occurring within distribution systems. In the UK, a regulatory process is applied in which water companies must report on significant water quality incidents, their causes, actions, responses, and outcomes. The Drinking Water Inspectorate (DWI) assesses these reports on an annual basis and their findings are made publically available. It is hypothesised here that these reports form a valuable resource that can be ‘data mined’ for improved understanding and to help with future incident management. Developed in the late 1970s, case-based reasoning (CBR) is a knowledge-based problem-solving technique that relies on the reuse of past experience. It is based on the assumption that similar problems have similar solutions and hence new problems can be solved by reusing (and adapting) solutions. The WaterQualityCBR software system, reported on here, was developed as a decision support tool for water companies to deal more effectively with water quality incidents (e.g. water discolouration, contamination and loss of supply) by using information from previous incidents. The tool manipulates a database (compiled in XML) of past significant events from several years DWI reporting. The system can provide information at a strategic level, for example to help inform policy or water company guidance documents. In addition, a complete closed CBR cycle is possible for operational event management providing information from similar cases from the past and, importantly, ranking past actions in response to similar incidents. Examples are provided to illustrate both aspects of the software, demonstrating how the CBR methodology can support decision-making for water utilities in managing drinking water incidents

ESPRIT – a Public Car System

The following images and texts taken from the future presentation to be made in April at CORP 2018 conference and used here to constitute a full paper

WikiFactMine for Phytochemistry

Poster presentation delivered at Text and Data Mining Symposium held at the University of Cambridge