Electric Vehicle Sharing Services for Smarter Cities

The Green Move project for Milan: from service design to technology deployment
 
 
Springer (Verlag)
  • erschienen am 30. August 2018
 
  • Buch
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  • Softcover
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  • 292 Seiten
978-3-319-87201-8 (ISBN)
 
This book examines electric car sharing in cities from a variety of perspectives, from service design to simulation, from mathematical modeling to technology deployment, and from energy use improvement to the integration of different kinds of vehicle. The contents reflect the outcomes of the Green Move project, undertaken by Politecnico di Milano with the aim of fostering an innovative and easily accessible electric vehicle sharing system. The first section of the book illustrates the car sharing service, covering service design, the configuration of the vehicle sharing model and the Milan mobility pattern, analysis of local demand and supply, testing of the condominium-based car sharing model, and communication design for social engagement. The second section then explains the technological choices, from the architecture of the system and dynamic applications to information management, the smartphone-based energy-oriented driving assistance system, automatic fleet balancing systems, and real-time monitoring of vehicle positions. In the final section, readers will find descriptions of the simulation model, a model to estimate potential users of the service, and a model for a full-scale electric car sharing service in Milan.
Softcover reprint of the original 1st ed. 2017
  • Englisch
  • Cham
  • |
  • Schweiz
Springer International Publishing
  • Für Beruf und Forschung
  • 80 farbige Tabellen, 13 s/w Abbildungen, 98 farbige Abbildungen
  • |
  • 80 Tables, color; 98 Illustrations, color; 13 Illustrations, black and white; X, 282 p. 111 illus., 98 illus. in color.
  • Höhe: 235 mm
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  • Breite: 155 mm
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  • Dicke: 15 mm
  • 446 gr
978-3-319-87201-8 (9783319872018)
10.1007/978-3-319-61964-4
weitere Ausgaben werden ermittelt
Daniele F. Bignami is Research Project Manager in the Project Development Department of the Fondazione Politecnico di Milano in Milan, Italy. In 2014, he was awarded the National Scientific Qualification of Associate Professor (sector: Urban and Landscape Planning and Design). He has recently been collaborating with the Italian National Civil Protection Department and the Institute for an Industrial Safety Culture (Toulouse, France). He is the author of more than 30 articles and co-editor of the Springer book Sustainable Social, Economic and Environmental Revitalization in Multan City (2016).

Alberto C. Vitale is Full Professor of Operations Research and Deputy Director, Department of Design, Politecnico di Milano. He has been president of a center for innovative technologies for didactics and has been a consultant or board member for various Italian public bodies such as the Ministry of Education and the Ministry of Work. He has taught at several universities,

including the University of Paris-Dauphine and Tongji University, Shanghai and has published more than 300 papers.

Alessandro Luè is an environmental and land planning engineer who has been working at Poliedra, a consortium at the Politecnico di Milano, since 1999. From 2002 to 2010 he was adjunct professor for the course "Methods and models for decision-making in transportation". In 2015, he gained a PhD in Design at Politecnico di Milano for a thesis on the integration of decision aiding and design methods for the development of mobility services and systems.

Roberto Nocerino is an environmental and land planning engineer who has been working with Poliedra since 2008, mainly on projects dealing with decision support systems, innovative systems for sustainable mobility, and smart cities. In 2013 he gained a second degree in Agrotechnology for the Environment and the Territory (Università degli Studi di Milano). He is responsible for Poliedra's activites i

n an SCC H2020 project (Sharing Cities) and an IEE project (Pro-E-Bike, now concluded).

Matteo G. Rossi is Assistant Professor at Politecnico di Milano, from which he received a PhD in Computer Engineering and Automation. He also holds a Diplome d'Ingenieur from the École Nationale Supérieure de Techniques Avancées (ENSTA, Paris). His research interests are mainly in formal methods for safety-critical and real-time systems. He has participated in various national and international projects, including SMScom (EU, 2008-13), MADES (EU, 2010-2), DICE (EU, 2015-7), and IT2Rail (EU, 2015-7).

Sergio M. Savaresi has been Full Professor in Automatic Control at Politecnico di Milano since 2006, and Chair of the Systems & Control Section of the Department of Electronics and Computer Sciences. His main interests are in the areas of vehicle control, automotive systems, data analysis and system identification, non-linear control theory, and control applications. He is

an associate editor of a number of journals and has published more than 400 scientific publications. He is also a cofounder and partner of four spin-off companies.

1 Introduction: car sharing evolution and Green Move project.- 2 Service idea.- 3 Traditional and innovative vehicle sharing models.- 4 Analysis of mobile phone data for deriving city mobility pattern.- 5 Analysis of peer-to-peer car sharing potentialities.- 6 Testing a new model for a sustainable mobility in the city of Milan: the condominium car sharing.- 7 Communication design for social engagement. Micro TV and the integration of branding and storytelling into participatory processes.- 8 Architecture of the Green Move System.- 9 Green Move Dynamic Applications.- 10 Context Driven Pervasive and Personalised Information Management.- 11 A smartphone-based energy-oriented driving assistance system.- 12 Automatic fleet balancing in one-way VSSs via closed-loop dynamic pricing.- 13 Information system: georeferenced database.- 14 The general model: estimation of economic, social and environmental impact of car sharing services.- 15 Creation of O/D matrix model - Grid driven estimate of the O/D matrices for a car sharing service.- 16 System sizing model - Simulation model of the service.- 17 Conclusions and future trends: from ownership to sharing.


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