A Cloud-Based Approach to Assess the Quality of Local Transportation Services in Apulia Region

Modern passengers require reliable Transportation Services (TSs) Therefore, providers and operators should steer their current offering towards novel approaches guaranteeing improvements in Quality of Service (QoS) and sustainable development of urban infrastructures. In this paper, a cloud-based approach aiming at assessing the QoS in a specific scenario such as the one of Local Transportation Services (LTSs) in Apulia Region (Southern Italy) is proposed. The entire QoS cycle (i.e., design, implementation and monitoring) for smart mobility is addressed, and a supporting platform, exploiting a microservice-based architecture and named UCoMS, is described. In order to validate the pilot case, a set of quality indicators and service levels grounded in European and Italian regulatory frameworks has been considered as well.

[1]  John D. Nelson,et al.  THE ATTRACTIVENSS AND EFFICIENCY OF PUBLIC TRANSPORT: Is It Affected by the Nature of Ownership? , 2003 .

[2]  P. Nijkamp,et al.  Smart Cities in Europe , 2011 .

[3]  Peter Schelkens,et al.  Qualinet White Paper on Definitions of Quality of Experience , 2013 .

[4]  Gianmario Motta,et al.  Sustainable Service Level Agreements , 2011, 2011 IEEE International Conference on Services Computing.

[5]  Bratislav Predic,et al.  Mobile crowd sensing for smart urban mobility , 2016 .

[6]  Gianmario Motta,et al.  Cloud Computing: The Issue of Service Quality: An Overview of Cloud Service Level Management Architectures , 2013, 2013 Fifth International Conference on Service Science and Innovation.

[7]  Mária Kostolná.  THE POSSIBILITIES OF STANDARDIZING THE QUALITY LEVEL IN PUBLIC PASSENGER TRANSPORT FROM CUSTOMER POINT OF VIEW , 2014 .

[8]  M. Deakin,et al.  Exploring Emerging ICT-enabled Governance Models in European Cities. , 2011 .

[9]  Mario A. Bochicchio,et al.  SLA composition in service networks: a tool for representing relationships between SLAs and contracts , 2015, SAC.

[10]  Laura Ferrari,et al.  Urban Sensing Using Mobile Phone Network Data: A Survey of Research , 2014, ACM Comput. Surv..

[11]  Mario A. Bochicchio,et al.  Service Level Aware - Contract Management , 2015, 2015 IEEE International Conference on Services Computing.

[12]  Mario A. Bochicchio,et al.  Towards Massive Open Online Laboratories: An experience about electromagnetic crowdsensing , 2015, Proceedings of 2015 12th International Conference on Remote Engineering and Virtual Instrumentation (REV).

[13]  Mario A. Bochicchio,et al.  Using mobile crowd sensing for noise monitoring in smart cities , 2016, 2016 International Multidisciplinary Conference on Computer and Energy Science (SpliTech).

[14]  N. Komninos,et al.  Special Issue on Smart Cities and the Future Internet in Europe , 2012, Journal of the Knowledge Economy.

[15]  Miriam Pirra,et al.  Transport Quality Profiles of European Cities Based on a Multidimensional Set of Satisfaction Ratings Indicators , 2017 .

[16]  Matteo Golfarelli,et al.  Data Warehouse Design: Modern Principles and Methodologies , 2009 .

[17]  Rajiv Ranjan,et al.  Osmotic Computing: A New Paradigm for Edge/Cloud Integration , 2016, IEEE Cloud Computing.

[18]  Vittorio Astarita,et al.  A Mobile Application for Road Surface Quality Control: UNIquALroad , 2012 .

[19]  Noel Crespi.  Toward Total Quality of Experience : A QoE Model in a Communication Ecosystem , .

[20]  A. Parasuraman,et al.  Delivering quality service : balancing customer perceptions and expectations , 1990 .

[21]  Antonio Corradi,et al.  ParticipAct: A Large-Scale Crowdsensing Platform , 2016, IEEE Transactions on Emerging Topics in Computing.

[22]  Martijn Warnier,et al.  Smart Phones for a Smart City: Requirements for Context Aware Mobile Application for Landscape and Urban Planning , 2015 .

[23]  Barnard Kroon,et al.  Intelligent Sensing for Citizen Science , 2016, Mobile Networks and Applications.

[24]  Mario A. Bochicchio,et al.  Collaborative learning from Mobile Crowd Sensing: A case study in electromagnetic monitoring , 2015, 2015 IEEE Global Engineering Education Conference (EDUCON).

[25]  Kokku Randheer,et al.  Measuring Commuters' Perception on Service Quality Using SERVQUAL in Public Transportation , 2011 .

[26]  Athanasios V. Vasilakos,et al.  Mobile Crowd Sensing for Traffic Prediction in Internet of Vehicles , 2016, Sensors.

[27]  Sanjay K. Dwivedi,et al.  Integration of Public Transportation through National e-Governance Service Delivery Framework , 2013 .

[28]  Ajay Kumar Bharti,et al.  A BPR Approach for e-Governance in Public Transportation , 2014, Int. J. Strateg. Inf. Technol. Appl..