TY - JOUR
T1 - TEAM Applications for Collaborative Road Mobility
AU - Bellotti, Francesco
AU - Kopetzki, Sven
AU - Berta, Riccardo
AU - Paranthaman, Pratheep Kumar
AU - Dange, Gautam Ravindra
AU - Lytrivis, Panagiotis
AU - Amditis, Angelos J.
AU - Raffero, Mattia
AU - Aittoniemi, Elina
AU - Basso, Rafael
AU - Radusch, Ilja
AU - De Gloria, Alessandro
PY - 2019/2/1
Y1 - 2019/2/1
N2 - 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.
AB - 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.
KW - Automotive applications
KW - automotive electronics
KW - connected vehicle
KW - field tests
KW - human-machine interaction
KW - mobile apps
KW - smart cars
UR - http://www.scopus.com/inward/record.url?scp=85049063833&partnerID=8YFLogxK
U2 - 10.1109/TII.2018.2850005
DO - 10.1109/TII.2018.2850005
M3 - Article
AN - SCOPUS:85049063833
SN - 1551-3203
VL - 15
SP - 1105
EP - 1119
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 2
M1 - 8395066
ER -