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Alireza Sahami Shirazi, Thomas Kubitza, Florian Alt, Philipp Tarasiewicz, Andreas Bungert, Vladimir Minakov, Albrecht Schmidt
Mobile Context-based Ride Sharing
In Adjunct Proceedings of the Ninth International Conference on Pervasive Computing. San Francisco, CA, US, June 12-15, 2011. (bib)

When it comes to transportation, especially in densely populated areas, people usually face a trade-off between convenience and costs. Whereas on one hand convenience as a driving factor leads to that people are preferring to use cars, air pollution, traffic jams, and high cost due to fuel price on the other hand encourage many people (e.g., commuters) to use collective transportation (CT), such as public transport systems. However it does not support door-todoor transportation and might be inconvenient due to limited services in offpeak hours or high costs when travelling long distances. A solution growing in popularity is ride sharing, a form of CT making alternative transportation more affordable. In this paper we present a modular platform supporting different forms of ride sharing based on context information. WEtaxi is a system, which allows sharing taxis among multiple persons. WEticket supports sharing train tickets through finding additional people going onto the same journey.