De Luca, S, Di Pace, R, Memoli, S et al. (1 more author) (2016) Comparing Signal Setting Design Methods through emissions and fuel consumption performance indicators. In: Świątek, J and Tomczak, JM, (eds.) Advances in Systems Science: Proceedings of the International Conference on Systems Science 2016 (ICSS 2016). Advances in Intelligent Systems and Computing, 539 (539). Springer International Publishing , Cham, Switzerland , pp. 200-209. ISBN 978-3-319-48943-8
Abstract
In order to address the Signal Setting Design at urban level two main approaches may be pursued: the coordination and the synchronisation approaches depending on the steps considered for the optimisation of decision variables (two steps vs. one step). Furthermore, in terms of objective functions mono-criterion or multi-criteria may be adopted. In this paper the coordination approach is implemented considering the multi-criteria optimisation at single junctions and mono-criterion optimisation at network level whereas the synchronisation is implemented considering the mono-criterion optimisation. The main purpose of the paper is the evaluation of the performances of two strategies not only considering indicators such as the total delay, the queue length etc. but also considering other indicators such as the emissions and the fuel consumption. The methodological framework is composed by three stages: (i) the decision variables (green timings and offsets) computation through optimisation methods; (ii) the implementation of optimal signal settings in a microscopic traffic flow simulator (“Simulation of Urban MObility”-SUMO); (iii) the estimation of emissions and fuel consumption indicators.
Metadata
Item Type: | Book Section |
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Authors/Creators: |
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Editors: |
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Copyright, Publisher and Additional Information: | © Springer International Publishing AG 2017. This is an author produced version of a paper published in Advances in Intelligent Systems and Computing. Uploaded in accordance with the publisher's self-archiving policy. The final publication is available at Springer via http://doi.org/10.1007/978-3-319-48944-5_19. |
Keywords: | network signal setting design; macroscopic traffic flow model; microscopic traffic flow model; sustainable transportation. |
Dates: |
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Institution: | The University of Leeds |
Depositing User: | Symplectic Publications |
Date Deposited: | 02 Dec 2016 12:51 |
Last Modified: | 05 Nov 2017 01:38 |
Published Version: | http://doi.org/10.1007/978-3-319-48944-5_19 |
Status: | Published |
Publisher: | Springer International Publishing |
Series Name: | Advances in Intelligent Systems and Computing |
Identification Number: | 10.1007/978-3-319-48944-5_19 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:108854 |