Green Move: A Platform for Highly Configurable, Heterogeneous Electric Vehicle Sharing

Vehicle sharing in urban areas has the potential to be the answer to some of the main issues that hinder the spreading of electric vehicles, in particular for what concerns the high upfront costs of the vehicles, combined with their still limited range, which can induce phenomena such as range anxiety. For its potential to be realized, vehicle sharing must be tailored to the multiform needs of its users by offering a wide range of support services that can be selected based on the user preferences. In this paper we present the platform for vehicle sharing developed in the Green Move project, which allows services to be dynamically loaded and unloaded on vehicles, and describe a pair of prototype applications to illustrate its benefits.

[1]  Luciano Baresi,et al.  Green Move: Towards next generation sustainable smartphone-based vehicle sharing , 2012, 2012 Sustainable Internet and ICT for Sustainability (SustainIT).

[2]  Sergio M. Savaresi,et al.  Active fleet balancing in vehicle sharing systems via Feedback Dynamic Pricing , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).

[3]  Carlo Curino,et al.  And what can context do for data? , 2009, Commun. ACM.

[4]  Sergio Di Martino,et al.  A Rich Cloud Application to Improve Sustainable Mobility , 2011, W2GIS.

[5]  M. Tanelli,et al.  A Smartphone-in-the-Loop Active State-of-Charge Manager for Electric Vehicles , 2012, IEEE/ASME Transactions on Mechatronics.

[6]  F. Schreiber,et al.  PerLa: A Language and Middleware Architecture for Data Management and Integration in Pervasive Information Systems , 2012, IEEE Transactions on Software Engineering.

[7]  Sergio M. Savaresi,et al.  Driving style estimation via inertial measurements , 2010, 13th International IEEE Conference on Intelligent Transportation Systems.

[8]  Letizia Tanca,et al.  Pushing context-awareness down to the core : more flexibility for the PerLa language , 2012 .

[9]  Massimo Conti,et al.  B4V2G: Bluetooth for electric vehicle to smart grid connection , 2011, 2011 Proceedings of the Ninth International Workshop on Intelligent Solutions in Embedded Systems.

[10]  Alessandro Margara,et al.  Processing flows of information: From data stream to complex event processing , 2012, CSUR.

[11]  Alessandro Margara,et al.  Low latency complex event processing on parallel hardware , 2012, J. Parallel Distributed Comput..

[12]  Randall Guensler,et al.  Electric vehicles: How much range is required for a day’s driving? , 2011 .

[13]  M. C. van der Voort.  FEST. A new driver support tool that reduces fuel consumption and emissions , 2001 .

[14]  Alberto Colorni,et al.  Green Move: An Innovative Electric Vehicle-Sharing System , 2012 .

[15]  Alessandro Margara,et al.  Complex event processing with T-REX , 2012, J. Syst. Softw..

[16]  Mara Tanelli,et al.  A Flexible Architecture for Managing Vehicle Sharing Systems , 2013, IEEE Embedded Systems Letters.

[17]  Giorgio Orsi,et al.  Semantic Pervasive Advertising , 2013, RR.

[18]  Sam Akehurst,et al.  Development and Field Trial of a Driver Assistance System to Encourage Eco-Driving in Light Commercial Vehicle Fleets , 2013, IEEE Transactions on Intelligent Transportation Systems.

[19]  Mara Tanelli,et al.  Quantitative Driving Style Estimation for Energy-Oriented Applications in Road Vehicles , 2013, 2013 IEEE International Conference on Systems, Man, and Cybernetics.

[20]  Mara Tanelli,et al.  Speed and acceleration controllers for a light electric two-wheeled vehicle , 2011, IEEE Conference on Decision and Control and European Control Conference.

[21]  Letizia Tanca,et al.  CARVE: Context-aware automatic view definition over relational databases , 2013, Inf. Syst..

[22]  Sergio M. Savaresi,et al.  Vehicle-sharing: Technological infrastructure, vehicles, and user-side devices - Technological review , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).