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Traffic Management Based on Negotiations between Vehicles – A Feasibility Demonstration Using Agents

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Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 13))

Abstract

City governments currently make significant efforts to design traffic-control schemes. While existing solutions try to optimize the load of traffic resources, they do not consider one important aspect: Different drivers value short waiting times differently. For instance, the valuation of a truck driver who is part of a just-in-time production chain tends to be higher than the one of a family on an excursion for pleasure. Traffic-control schemes that give preference to drivers with higher valuations will increase the total utility of all drivers. In this paper we propose a new mechanism for traffic control at intersections. It is called Time-Slot Exchange and relies on bilateral negotiations. It tries to optimize the use of traffic resources in a valuation-aware fashion. The mechanism relies on agent-based driver-assistance systems with communication features which negotiate the right to cross an intersection at a certain time. Using simulations, we show that our new mechanism outperforms existing ones regarding average valuation-weighted waiting time.

This work is part of the project DAMAST (Driver Assistance using Multi-Agent Systems in Traffic) ( http://www.ipd.uni-karlsruhe.de/%7Edamast/ ) which is partially funded by init innovation in traffic systems AG ( http://www.initag.com/ ).

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Schepperle, H., Böhm, K., Forster, S. (2008). Traffic Management Based on Negotiations between Vehicles – A Feasibility Demonstration Using Agents. In: Collins, J., et al. Agent-Mediated Electronic Commerce and Trading Agent Design and Analysis. AMEC TADA 2007 2007. Lecture Notes in Business Information Processing, vol 13. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-88713-3_7

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  • DOI: https://doi.org/10.1007/978-3-540-88713-3_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-88712-6

  • Online ISBN: 978-3-540-88713-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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