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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 174))

Abstract

Currently most car drivers use static routing algorithms based on the shortest distance between start and end position. But the shortest route is different from the fastest route in time. Because existing routing algorithms lack the ability to react to dynamic changes in the road network, drivers are not optimally routed. The current traffic situation can be assessed by tracking car drivers provided with a smart GPS device. The real challenge is to predict future delays in travelling time. In this paper we present a multi-agent approach for routing vehicle drivers using historically-based traffic information. we successfully implemented a working prototype that uses various technologies such as Java, the Open Street Map API for rendering the map or J2ME for the mobile phone client.

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Radu, A., Rothkrantz, L., Novak, M. (2013). Digital Traveler Assistant. In: Ferrier, JL., Bernard, A., Gusikhin, O., Madani, K. (eds) Informatics in Control, Automation and Robotics. Lecture Notes in Electrical Engineering, vol 174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31353-0_8

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  • DOI: https://doi.org/10.1007/978-3-642-31353-0_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31352-3

  • Online ISBN: 978-3-642-31353-0

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