In this paper, we propose a Cross Entropy (CE) [1] based multiagent approach for solving static/dynamic traffic assignment problems (TAP). This algorithm utilizes a family of probability distributions in order to guide travelers (agents) to network equilibrium. The route choice probability distribution depends on the average network performance experienced by agents on previous days. Based on t...

In this paper, we study the performance of channel assignment algorithms for “channelized” (e.g., FDMA or TDMA) cellular telephone systems, via mathematical models, each of which is characterized by a pair (H,p) , where H is a hypergraph describing the channel reuse restrictions, and p is a probability vector describing the variation of traffic intensity from cell to ceU. For a given channel as...

We study a dynamic traffic assignment model, where agents base their instantaneous routing decisions on real-time delay predictions. formulate mathematically concise model and derive properties of the predictors that ensure prediction equilibrium exists. demonstrate versatility our framework by showing it subsumes well-known full information models, in addition to admitting further realistic as...

Traffic assignment is used to determine the number of users on roadway links in a network. While this problem has been widely studied in transportation literature, its use of the concept of equilibrium has attracted considerable interest in the field of game theory. The approaches used in both transportation and game theory disciplines are explored, and the similarities and dissimilarities betw...

The rapid development of intelligent transportation system technologies and the policy emphasis on their deployment have increased the importance of predictive dynamic network flow models, especially so-called dynamic network loading and dynamic traffic assignment models. In this chapter we provide a critical review of analytic models used in predicting time-varying urban network flows. Specifi...

There is great interest in developing pricing models for congestion relief. However, most of the work in the literature uses static transportation models for analysis. The benefits of accounting for traffic dynamics under congestion pricing are unclear. This research performs a systematic comparison of static traffic assignment with the VISTA model, a simulation-based dynamic traffic assignment...