A framework for the development of sustainable urban mobility applications

Modern information and communication technologies are fostering the development of services and applications positively affecting sustainable mobility. A framework for the development of sustainable urban mobility applications based on integration of heterogeneous information sources, performance metric computation and storage, and user persuasion is proposed. A cloud application collecting relevant mobility information, performing data processing and producing personalized information for sustainable urban mobility is presented and discussed.

[1]  Cristian Perra,et al.  Lossless plenoptic image compression using adaptive block differential prediction , 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[2]  M. Harjumaa,et al.  A Systematic Framework for Designing and Evaluating Persuasive Systems , 2008, PERSUASIVE.

[3]  B. J. Fogg,et al.  Persuasive technology: using computers to change what we think and do , 2002, UBIQ.

[4]  Cristian Perra On the coding of plenoptic raw images , 2014, 2014 22nd Telecommunications Forum Telfor (TELFOR).

[5]  Annapaola Marconi,et al.  Using gamification to incentivize sustainable urban mobility , 2015, 2015 IEEE First International Smart Cities Conference (ISC2).

[6]  Siani Pearson,et al.  Privacy, Security and Trust Issues Arising from Cloud Computing , 2010, 2010 IEEE Second International Conference on Cloud Computing Technology and Science.

[7]  Johann Schrammel,et al.  Watch your Emissions: Persuasive Strategies and Choice Architecture for Sustainable Decisions in Urban Mobility , 2014, PsychNology J..

[8]  C. Perra,et al.  Unfocused plenoptic camera calibration , 2014, 2014 22nd Telecommunications Forum Telfor (TELFOR).

[9]  Klaus Wehrle,et al.  Maintaining User Control While Storing and Processing Sensor Data in the Cloud , 2013, Int. J. Grid High Perform. Comput..

[10]  Jun Rekimoto,et al.  Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication , 2013, UbiComp 2013.

[11]  Pedro M. d'Orey,et al.  ITS for Sustainable Mobility: A Survey on Applications and Impact Assessment Tools , 2014, IEEE Transactions on Intelligent Transportation Systems.

[12]  Daniele D. Giusto,et al.  JPEG 2000 compression of unfocused light field images based on lenslet array slicing , 2017, 2017 IEEE International Conference on Consumer Electronics (ICCE).

[13]  Gail-Joon Ahn,et al.  Security and Privacy Challenges in Cloud Computing Environments , 2010, IEEE Security & Privacy.

[14]  Cristian Perra,et al.  3D reconstruction from plenoptic image , 2015, 2015 23rd Telecommunications Forum Telfor (TELFOR).

[15]  Cristian Perra,et al.  Wireless cooperative access to images , 2013, 2013 9th International Wireless Communications and Mobile Computing Conference (IWCMC).

[16]  Cristian Perra,et al.  Mobile information for tourists , 2009, 2009 IEEE 13th International Symposium on Consumer Electronics.

[17]  Cristian Perra,et al.  Data formats for high efficiency coding of Lytro-Illum light fields , 2015, 2015 International Conference on Image Processing Theory, Tools and Applications (IPTA).

[18]  Antti Jylhä,et al.  MatkaHupi: a persuasive mobile application for sustainable mobility , 2013, UbiComp.

[19]  Cristian Perra,et al.  An Entrepreneurship Centre in the lifelong learning spirit , 2010, 2010 9th International Conference on Information Technology Based Higher Education and Training (ITHET).

[20]  Jinhua Zhao,et al.  'Nudging' Active Travel: A Framework for Behavioral Interventions Using Mobile Technology , 2014 .

[21]  Daniele D. Giusto,et al.  An analysis of 3D point cloud reconstruction from light field images , 2016, 2016 Sixth International Conference on Image Processing Theory, Tools and Applications (IPTA).

[22]  Cristian Perra Wireless cooperative access for next generation mobility applications , 2013, 2013 21st Telecommunications Forum Telfor (TELFOR).

[23]  L. Dijkstra,et al.  Promoting safe walking and cycling to improve public health: lessons from The Netherlands and Germany. , 2003, American journal of public health.

[24]  Rosa Maimone,et al.  Digital interventions for sustainable urban mobility: a pilot study , 2013, UbiComp.

[25]  Daniele D. Giusto,et al.  Interactive Image Viewing in Mobile Devices Based on JPEG XR , 2011, MobiMedia.

[26]  Jerald Jariyasunant,et al.  Quantified Traveler: Travel Feedback Meets the Cloud to Change Behavior , 2013, J. Intell. Transp. Syst..

[27]  Johann Schrammel,et al.  Persuasive Technologies for Sustainable Urban Mobility , 2016, ArXiv.

[28]  Cristian Perra A framework for user control over media data based on a trusted point , 2015, 2015 IEEE International Conference on Consumer Electronics (ICCE).

[29]  James A. Landay,et al.  UbiGreen: investigating a mobile tool for tracking and supporting green transportation habits , 2009, CHI.

[30]  Klaus Wehrle,et al.  The Cloud Needs Cross-Layer Data Handling Annotations , 2013, 2013 IEEE Security and Privacy Workshops.