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ATAL
2008
Springer

Aligning social welfare and agent preferences to alleviate traffic congestion

8 years 4 months ago
Aligning social welfare and agent preferences to alleviate traffic congestion
Multiagent coordination algorithms provide unique insights into the challenging problem of alleviating traffic congestion. What is particularly interesting in this class of problem is that no individual action (e.g., leave at a given time) is intrinsically "bad" but that combinations of actions among agents lead to undesirable outcomes. As a consequence, agents need to learn how to coordinate their actions with those of other agents, rather than learn a particular set of "good" actions. In general, the traffic problem can be approached from two distinct perspectives: (i) from a city manager's point of view, where the aim is to optimize a city wide objective function (e.g., minimize total city wide delays), and (ii) from the individual driver's point of view, where each driver is aiming to optimize a personal objective function (e.g., a"timeliness"function that minimizes the difference desired and actual arrival times at a destination). In many c...
Kagan Tumer, Zachary T. Welch, Adrian K. Agogino
Added 12 Oct 2010
Updated 12 Oct 2010
Type Conference
Year 2008
Where ATAL
Authors Kagan Tumer, Zachary T. Welch, Adrian K. Agogino
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