Roughly 30% of the European CO2 emissions can be accounted to the transportation sector. Compared to other sectors, transportation also is the only one that has not made any progress towards achieving the emission targets set by the European Union. For this reason, it becomes critical to correctly measure how much CO2 is being emitted due to personal transportation [1]. We analyse previous research on the area of mode of transportation identification, and propose a new approach on how to detect used mode of transportation and thus derive CO2 emission for personal rides. We use mobile GPS data to calculate speed, acceleration, and distance travelled through a trip. After splitting the trip into different walking segments, we then extend the approach to computing CO2 emission for multi modal routes.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Transportation Mode Recognition on Multi Modal Routes based on Mobile GPS Data


    Contributors:


    Publication date :

    2019-09-01


    Size :

    1899689 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    DYNAMICALLY DETERMINING PROVIDER-TRANSPORTATION ROUTES AND RENTAL-VEHICLE ROUTES FOR A MULTI-MODAL GRAPHICAL USER INTERFACE

    ABDULLA KEITH AMIR / ALEXANDER JIMMY PULIMOOTTIL / CHANDRASEKHAR BALAJI et al. | European Patent Office | 2021

    Free access

    MULTI-MODAL TRANSPORTATION SYSTEM

    GUIZAR AMADOR LUIS FRANCISCO / MARTINEZ ORDAZ MARIO OSCAR / ROMERO BAILON JULIO ANTONIO et al. | European Patent Office | 2018

    Free access

    Multi-Modal Transportation System Simulation

    R. C. Ricci / J. R. Roy | NTIS | 1971