This work aims to present the project idea for an innovative public transport network to increase sustainability and reduce the environmental impact of public and private transport. The Mobility Network will include small vehicles with low emissions, with flexible routes, which will adapt in real time to customer requests, congestion conditions and availability of other transport services. The transport request is booked by the user with the help of a mobile application, which also allows his/her location through GPS, by providing a on-demand flexible, sustainable and intermodal mobility service (MaaS - Mobility as a Service). A wireless sensor network will be used to gather real-time traffic and weather data to build descriptive and predictive models to plan the best routes in order to reduce road congestion and consequently the urban pollution. The main aspects of this work will be further developed in the context of the NETCHIP Architecture, whose project has been submitted to Italian PNR 2015-2020, Call n. 1735 of the 13th July 2017, a Mobility Network connected through a CHIP-type architecture (Connected Heterogeneous Intelligent and Personalized).

Application of Wireless Sensor Networks to Environmental Monitoring for Sustainable Mobility

Ullo S
;
Gallo M.;Palmieri G.;Amenta P.;RUSSO, Ilaria Mara;
2018

Abstract

This work aims to present the project idea for an innovative public transport network to increase sustainability and reduce the environmental impact of public and private transport. The Mobility Network will include small vehicles with low emissions, with flexible routes, which will adapt in real time to customer requests, congestion conditions and availability of other transport services. The transport request is booked by the user with the help of a mobile application, which also allows his/her location through GPS, by providing a on-demand flexible, sustainable and intermodal mobility service (MaaS - Mobility as a Service). A wireless sensor network will be used to gather real-time traffic and weather data to build descriptive and predictive models to plan the best routes in order to reduce road congestion and consequently the urban pollution. The main aspects of this work will be further developed in the context of the NETCHIP Architecture, whose project has been submitted to Italian PNR 2015-2020, Call n. 1735 of the 13th July 2017, a Mobility Network connected through a CHIP-type architecture (Connected Heterogeneous Intelligent and Personalized).
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/20.500.12070/13736
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