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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    Title :

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


    Additional title:

    Lect.Notes Social.Inform.



    Conference:

    International Conference on Intelligent Transport Systems ; 2023 ; Molde, Norway September 06, 2023 - September 07, 2023



    Publication date :

    2023-12-12


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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