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Intelligent Transport Systems. 7th EAI International Conference, INTSYS 2023, Molde, Norway, September 6-7, 2023, Proceedings

Research Article

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

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.1007/978-3-031-49379-9_14,
        author={Jos\^{e} R. Lozano-Pinilla and Iv\^{a}n S\^{a}nchez-Cordero and Cristina Vicente-Chicote},
        title={Smart-Routing Web App: A Road Traffic Eco-Routing Tool Proposal for Smart Cities},
        proceedings={Intelligent Transport Systems. 7th EAI International Conference, INTSYS 2023, Molde, Norway, September 6-7, 2023, Proceedings},
        proceedings_a={INTSYS},
        year={2023},
        month={12},
        keywords={Eco-Routing Route Optimization Smart Cities},
        doi={10.1007/978-3-031-49379-9_14}
    }
    
  • José R. Lozano-Pinilla
    Iván Sánchez-Cordero
    Cristina Vicente-Chicote
    Year: 2023
    Smart-Routing Web App: A Road Traffic Eco-Routing Tool Proposal for Smart Cities
    INTSYS
    Springer
    DOI: 10.1007/978-3-031-49379-9_14
José R. Lozano-Pinilla1, Iván Sánchez-Cordero1, Cristina Vicente-Chicote1,*
  • 1: Quercus SEG
*Contact email: cristinav@unex.es

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.

Keywords
Eco-Routing Route Optimization Smart Cities
Published
2023-12-12
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-031-49379-9_14
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