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This paper focuses on the use of Petri nets (PN) to model the control of signalized intersections. The application of PN to an eight-phase traffic signal controller is illustrated. Structural analysis of the control PN model is performed to demonstrate how the model enforces the traffic operation safety rules. This is followed by a discussion of why this(More)
To design a transportation sensor network, the decision-maker needs to determine what sensor investments should be made, as well as when, how, where and with what technologies. This paper focuses on locating a limited set of traffic counting stations and automatic vehicle identification readers in a network so as to maximize the expected information gain(More)
An agent-based model of intersection control is presented. Drivers make payments to movement managers so that they can pass through the intersection. Movement managers collect fees from arriving drivers, receive voluntary contributions from those same drivers, and participate in a bidding process overseen by the municipality which determines which movement(More)
In a multiagent system, a (social) norm describes what the agents may expect from each other. Norms promote autonomy (an agent need not comply with a norm) and heterogeneity (a norm describes interactions at a high level independent of implementation details). Researchers have studied norm emergence through social learning where the agents interact(More)