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TEAM Applications for Collaborative Road Mobility.

Authors :
Bellotti, Francesco
Kopetzki, Sven
Berta, Riccardo
Paranthaman, Pratheep Kumar
Dange, Gautam Ravindra
Lytrivis, Panagiotis
Amditis, Angelos J.
Raffero, Mattia
Aittoniemi, Elina
Basso, Rafael
Radusch, Ilja
De Gloria, Alessandro
Source :
IEEE Transactions on Industrial Informatics; Feb2019, Vol. 15 Issue 2, p1105-1119, 15p
Publication Year :
2019

Abstract

The tomorrow's elastic adaptive mobility industrial research project developed eleven collaborative mobility apps addressing various traffic issues and scenarios. The apps, involving different aspects and degrees of collaboration (e.g., direct user participation, shared objectives, coordination, etc.), aim at increasing the driver/traveler awareness and support a better behavior. This paper describes the apps and the underlying system architecture shared by the participating car manufacturers. Then, it provides a user acceptance analysis grouping the apps according to the three main types of users and stakeholders: drivers, travelers, and administrators/operators. Data, collected in five European countries, shows that acceptance and expected impact are positive. The actual road-test experience did not diminish the high expectations raised by an initial presentation on paper, showing a good maturity of the prototypes. The Administrator app cluster shows a slightly better assessment, highlighting the importance of considering collaborative mobility as a system, including road, infrastructure, and traffic management. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15513203
Volume :
15
Issue :
2
Database :
Complementary Index
Journal :
IEEE Transactions on Industrial Informatics
Publication Type :
Academic Journal
Accession number :
134602091
Full Text :
https://doi.org/10.1109/TII.2018.2850005