Abstract
Mapping services and travel planner applications are experiencing a great success in supporting people while they plan a route or while they move across the city, playing a key role in the smart mobility scenario. Nevertheless, they are based on the same algorithms, on the same elements (in terms of time, distance, means of transports, etc.), providing a limited set of personalization. To fill this gap, we propose PUMA, a Personal Urban Mobility Assistant that aims to let the user add different factors of personalization, such as sustainability, street and personal safety, wellness and health, etc. In this paper we focus on the use of smart bikes (equipped with specific sensors) as means of transports and as a mean to collect data about the urban environment. We describe a cloud based architecture, personas and travel scenario to prove the feasibility of our approach.
Original document
The different versions of the original document can be found in:
- http://dx.doi.org/10.1007/978-3-319-76111-4_12 under the license http://www.springer.com/tdm
Document information
Published on 31/12/17
Accepted on 31/12/17
Submitted on 31/12/17
Volume 2018, 2018
DOI: 10.1007/978-3-319-76111-4_12
Licence: Other
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