Using Key Performance Indicators for traffic management and Intelligent Transport Systems as a prediction tool
Using Key Performance Indicators for traffic management and Intelligent Transport Systems as a prediction tool
In recent research work (FP7 CONDUITS) a performance evaluation framework for traffic management and Intelligent Transport Systems was developed. The new framework consists of a set of Key Performance Indicators (KPIs) for the strategic themes of traffic efficiency, safety, pollution reduction and social inclusion, and the last stages of the project saw its validation through its application to four case studies. Following up from this work, this paper presents the extension of the framework for use as a prediction tool enabling urban transport authorities to assess the impacts of relevant policies and technologies before implementing them. Focussing on pollution reduction, a tool (CONDUITS-DST) integrating the respective KPIs with microsimulation modelling is developed. The paper describes the integration process, including the model chosen for calculating the emissions levels of a number of scenarios, presents the results of the application to a case study in the city of Brussels, and outlines future developments targeted at broadening the integration of the KPIs into decision-making
Eden, N.
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Tsakarestos, A.
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Kaparias, I.
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Gal-Tzur, A.
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Schmitz, P.
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Hauptmann, S.
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Hoadley, S.
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October 2012
Eden, N.
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Tsakarestos, A.
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Kaparias, I.
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Gal-Tzur, A.
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Schmitz, P.
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Hauptmann, S.
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Hoadley, S.
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Eden, N., Tsakarestos, A., Kaparias, I., Gal-Tzur, A., Schmitz, P., Hauptmann, S. and Hoadley, S.
(2012)
Using Key Performance Indicators for traffic management and Intelligent Transport Systems as a prediction tool.
19th World Congress on Intelligent Transport Systems, Wien, Austria.
22 - 26 Oct 2012.
Record type:
Conference or Workshop Item
(Paper)
Abstract
In recent research work (FP7 CONDUITS) a performance evaluation framework for traffic management and Intelligent Transport Systems was developed. The new framework consists of a set of Key Performance Indicators (KPIs) for the strategic themes of traffic efficiency, safety, pollution reduction and social inclusion, and the last stages of the project saw its validation through its application to four case studies. Following up from this work, this paper presents the extension of the framework for use as a prediction tool enabling urban transport authorities to assess the impacts of relevant policies and technologies before implementing them. Focussing on pollution reduction, a tool (CONDUITS-DST) integrating the respective KPIs with microsimulation modelling is developed. The paper describes the integration process, including the model chosen for calculating the emissions levels of a number of scenarios, presents the results of the application to a case study in the city of Brussels, and outlines future developments targeted at broadening the integration of the KPIs into decision-making
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Published date: October 2012
Venue - Dates:
19th World Congress on Intelligent Transport Systems, Wien, Austria, 2012-10-22 - 2012-10-26
Organisations:
Transportation Group
Identifiers
Local EPrints ID: 402683
URI: http://eprints.soton.ac.uk/id/eprint/402683
PURE UUID: 5b43e547-51f8-45c7-bac8-9835b5294f83
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Date deposited: 18 Nov 2016 16:30
Last modified: 15 Mar 2024 03:57
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Contributors
Author:
N. Eden
Author:
A. Tsakarestos
Author:
A. Gal-Tzur
Author:
P. Schmitz
Author:
S. Hauptmann
Author:
S. Hoadley
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