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Smart-Routing Web App: A Road Traffic Eco-Routing Tool Proposal for Smart Cities

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Intelligent Transport Systems (INTSYS 2023)

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Abstract

The use of routing services has witnessed a notable surge in recent years. While most of them provide users with the shortest and the fastest routes, only a few of them provide information about the most eco-friendly route or gather information about the vehicle or the user preferences. Eco-routing has demonstrated its potential to significantly reduce both fuel consumption and Greenhouse Gas Emissions (GGE). However, most of the routing applications supporting this feature do not consider the specific car features, the road slope or the traffic conditions, providing only a rough estimation of the fuel consumption (mainly based on travel distance and type of fuel). Integrating such additional information would result in more flexible and powerful routing applications, allowing end-users to prioritize different features (travel time, distance, fuel consumption, etc.) according to their needs or preferences. In this context, we propose an easy-to-configure smart-routing web framework, providing end-users with alternative routes for their trips, including the most common ones (minimum distance and minimum expected travel time) together with an eco-friendly route, computed in a more precise way than current routing services.

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Acknowledgements

This work was supported by Project TED2021-132696B-I00, funded by MCIN/AEI/10.13039/501100011033/ and by ERDF A way to build Europe. José R. Lozano-Pinilla thanks the Junta de Extremadura for its Recovery, Transformation and Resilience Plan (funded by Next Generation EU), currently supporting him with an INVESTIGO contract.

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Authors and Affiliations

  1. Quercus SEG, University of Extremadura, Cáceres, Spain

    José R. Lozano-Pinilla, Iván Sánchez-Cordero & Cristina Vicente-Chicote

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  1. José R. Lozano-Pinilla
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  2. Iván Sánchez-Cordero
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  3. Cristina Vicente-Chicote
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Corresponding author

Correspondence to Cristina Vicente-Chicote .

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Editors and Affiliations

  1. ISCTE-University Institute of Lisbon, Lisbon, Portugal

    Ana Lucia Martins

  2. ISCTE-University Institute of Lisbon, Lisbon, Portugal

    Joao C. Ferreira

  3. University of Pisa, Pisa, Italy

    Alexander Kocian

  4. University of Lisbon, Lisbon, Portugal

    Ulpan Tokkozhina

  5. Molde University College, Molde, Norway

    Berit Irene Helgheim

  6. Molde University College, Molde, Norway

    Svein Bråthen

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Lozano-Pinilla, J.R., Sánchez-Cordero, I., Vicente-Chicote, C. (2024). Smart-Routing Web App: A Road Traffic Eco-Routing Tool Proposal for Smart Cities. In: Martins, A.L., Ferreira, J.C., Kocian, A., Tokkozhina, U., Helgheim, B.I., Bråthen, S. (eds) Intelligent Transport Systems. INTSYS 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 540. Springer, Cham. https://doi.org/10.1007/978-3-031-49379-9_14

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  • DOI: https://doi.org/10.1007/978-3-031-49379-9_14

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-49378-2

  • Online ISBN: 978-3-031-49379-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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