Abstract
Traffic management nowadays is one of the key challenges for cities. One drawback of traditional approaches for traffic management is that they do not consider the different valuations of waiting-time reduction of the drivers. These valuations can differ from driver to driver, e.g., drivers who are late for their job interview have a higher valuation of reduced waiting time than individuals driving home from work routinely. This also applies to trucks with urgent load, e.g., as part of a just-in-time production chain. To overcome this problem, we propose a new mechanism for traffic control at intersections called Initial Time-Slot Auction that is valuation-aware. It relies on agent-based driver-assistance systems to allocate the right to cross an intersection. Our evaluation shows that it does yield a significantly higher overall satisfaction.
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. (2007). Agent-Based Traffic Control Using Auctions. In: Klusch, M., Hindriks, K.V., Papazoglou, M.P., Sterling, L. (eds) Cooperative Information Agents XI. CIA 2007. Lecture Notes in Computer Science(), vol 4676. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75119-9_9
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DOI: https://doi.org/10.1007/978-3-540-75119-9_9
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