The low-tech age: Towards a technically-sustainable civilisation, p.2014 ,
Sizing Finite-Population Vehicle Pools, IEEE Transactions on Intelligent Transportation Systems, pp.1134-1144, 2014. ,
DOI : 10.1109/TITS.2013.2293918
Toward a Tool-Based Development Methodology for Pervasive Computing Applications, IEEE Transactions on Software Engineering, vol.38, issue.6, p.38, 2012. ,
DOI : 10.1109/TSE.2011.107
Uncertainty in urban mobility: Predicting waiting times for shared bicycles and parking lots, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013), pp.53-58, 2013. ,
DOI : 10.1109/ITSC.2013.6728210
Acceptability and social community issues for ride sharing and multimodality success". Nomadic workshop, 2012. ,
Design and Management of Vehicle Sharing Systems: A Survey of Algorithmic ApproachesSmart Cities and Homes: Key Enabling Technologies, 2015. ,
Predicting Bikeshare System Usage Up to One Day Ahead Workshop on Computational Intelligence in Vehicles and Transportation Systems, IEEE Symposium Series in Computational Intelligence, vol.2014, 2014. ,
Toward Bicycle Demand Prediction of Large-Scale Bicycle-Sharing System, TRB 93rd Annual meeting, 2014. ,
URL : https://hal.archives-ouvertes.fr/hal-01053016
ICT for Sustainability: An Emerging Research Field, ICT Innovations for Sustainability. Advances in Intelligent Systems and Computing 310, 2015. ,
DOI : 10.1007/978-3-319-09228-7_1
Detailed analysis of public transport journeys in the Paris area, 2014. ,
Orchestrating Masses of Sensors: A Design-Driven Development Approach, 14th International Conference on Generative Programming: Concepts & Experience (GPCE'15), 2015. ,
Smarter Cities and Their Innovation ChallengesPublic Bikesharing in North America During a Period of Rapid Expansion: Understanding Business Models, Industry Trends and User Impacts" (PDF) Mineta Transportation Institute (MTI) http://transweb.sjsu.edu/PDFs/research/ 1131-public-bikesharing-business-models-trends-impacts.pdf [16] ORS Ile-de-FranceHealth and work in Paris area. Results of the health survey 2010 by the INPES, Computer, vol.4414, issue.6, pp.32-39, 2011. ,
Predicting Bike Usage for New York City's Bike Sharing System" . Cornell University, Association for the Advancement of Artificial Intelligence, p.2015 ,
Bicycle-Sharing System Analysis and Trip Prediction, 2016 17th IEEE International Conference on Mobile Data Management (MDM), pp.13-16, 2016. ,
DOI : 10.1109/MDM.2016.35
Traffic prediction in a bike-sharing system, Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems, GIS '15, 2015. ,
DOI : 10.1145/2820783.2820837