Abstract
The i-Zone initiative proposes a new approach to urban mobility management by using the latest mobile ICT technologies. It is about mobile phones that measure and analyse user behaviour in order to influence travel behaviour. By providing feedback to the traveller (self monitoring), by information sharing, or by providing positive incentives to travellers by road authorities and other stakeholders, improved mobility in a city may be achieved. The information is targeted on individual travel behaviour, and thus allows a personalized approach to influence travel behaviour. This enables a shift from a focus on intelligent transport systems, with the emphasis on infrastructure and car-to-car systems, to a more human-centric approach based on ambient intelligence.
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References
Sensor City project (in Dutch), http://www.sensorcity.nl/
Hulsebosch, R.J., Ebben, P.W.G.: Enhancing Face Recognition with Location Information. In: Proceedings of the Third International Conference on Availability, Reliability and Security (“ARES 2008 – The International Dependability Conference”), Barcelona, Spain, March 4-7 (2008)
Cook, D.J., Augusto, J.C., Jakkula, V.R.: Ambient intelligence: Technologies, applications, and opportunities. Pervasive and Mobile Computing 5, 277–298 (2009)
Atzori, L., Iera, A., Morabito, G.: The Internet of Things: A survey. Computer Networks 54(15), 2787–2805 (2010)
Herrera, J.C., Work, D.B., Herring, R., Ban, X., Jacobson, Q., Bayen, A.M.: Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment. Transportation Research Part C: Emerging Technologies 18(4), 568–583 (2010)
Stopher, P., Clifford, E., Swann, N., Zhang, Y.: Evaluating voluntary travel behaviour change: Suggested guidelines and case studies. Transport Policy 16, 315–324 (2009)
Yang, J., Lu, H., Liu, Z., Boda, P.P.: Physical Activity Recognition with Mobile Phones: Challenges, Methods and Applications. In: Shao, L., et al. (eds.) Multimedia Interaction and Intelligent User Interfaces: Principles, Methods and Applications, pp. 185–213. Springer, London (2010)
Reddy, S., Mun, M., Burke, J., Estrin, D., Hansen, M., Srivastava, M.: Using mobile phones to determine transportation modes. ACM Transactions on Sensor Networks 6(2), Article 13 (2010)
Spitsmijden project. The effects of rewards in Spitsmijden 2: how can drivers be persuaded to avoid peak periods? Spitsmijden Group, The Hague (October 2009)
ITRAVEL project, http://www.i-travelproject.com/
WAZE, http://world.waze.com
Salim, F.D.: Towards Adaptive Mobile Mashups: Opportunities for Designing Effective Persuasive Technology on the Road. In: Proc. IEEE 24th International Conference on Advanced Information Networking and Applications Workshops, Perth, Australia, April 20-23, pp. 7–11 (2010)
Froehlich, J., Dillahunt, T., Klasnja, P., Mankoff, J., Consolvo, S., Harrison, B., Landay, J.A.: UbiGreen: Investigating a Mobile Tool for Tracking and Supporting Green Transportation Habits. In: Proc. of the 27th International Conference on Human Factors in Computing Systems (CHI 2009), Boston, MA, April 04-09, pp. 1043–1052 (2009)
Fogg, B.J.: The future of persuasion is mobile. In: Fogg, B.J., Eckles, D. (eds.) Mobile Persuasion: 20 Perspectives on the Future of Behaviour Change. Persuasive Technology Lab, Stanford University, Stanford, CA (2007)
Koolwaaij, J., Wibbels, M., Böhm, S., Luther, M.: Living Virtual History: A mobile Game around the World. The Visual Computer (Special Issue on Serious Games and Virtual Worlds) 25(12) (2009)
Boehm, S., Koolwaaij, J., Luther, M., Souville, B., Wagner, M., Wibbels, M.: Introducing IYOUIT. In: Sheth, A., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 804–817. Springer, Heidelberg (2008)
Fogg, B.J.: Persuasive technology: Using computers to change what we think and do. Morgan Kaufmans Publishers, San Francisco (2003)
SUNSET project, http://www.sunset-project.eu/
http://www.dutchdailynews.com/bluetooth-to-measure-dutch-traffic-jams/
van ’t Hof, C., van Est, R., Daemen, F.: Check in/check out: The public space as an Internet of Things. Rathenau Institute/NAi Publishers, Rotterdam (2011)
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Teeuw, W.B., Koolwaaij, J., Peddemors, A. (2012). User Behaviour Captured by Mobile Phones. In: Wichert, R., Van Laerhoven, K., Gelissen, J. (eds) Constructing Ambient Intelligence. AmI 2011. Communications in Computer and Information Science, vol 277. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31479-7_15
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DOI: https://doi.org/10.1007/978-3-642-31479-7_15
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