**Reference:**

Z. Cong,
B. De Schutter, and
R. Babuska,
"A new ant colony routing approach with a trade-off between system and
user optimum," *Proceedings of the 14th International IEEE
Conference on Intelligent Transportation Systems (ITSC 2011)*,
Washington, DC, pp. 1369-1374, Oct. 2011.

**Abstract:**

Dynamic traffic routing (DTR) refers to the process of (re)directing
traffic at junctions in a traffic network corresponding to the
evolving traffic conditions as time progresses. This paper considers
the DTR problem for a traffic network defined as a directed graph, and
deals with the mathematical aspects of the resulting optimization
problem from the viewpoint of network flow theory. Traffic networks
may have thousands of links and nodes, resulting in a sizable and
computationally complex nonlinear, non-convex DTR optimization
problem. To solve this problem Ant Colony Optimization (ACO) is chosen
as the optimization method in this paper because of its powerful
optimization heuristic for combinatorial optimization problems.
However, the standard ACO algorithm is not capable of solving the
routing optimization problem aimed at the system optimum, and
therefore a new ACO algorithm is developed to achieve the goal of
finding the optimal distribution of traffic flows in the network.

Corresponding technical report: pdf file (224 KB)

@inproceedings{ConDeS:11-031,

author={Z. Cong and B. {D}e Schutter and R. Babu{\v{s}}ka},

title={A new ant colony routing approach with a trade-off between system and user optimum},

booktitle={Proceedings of the 14th International IEEE Conference on Intelligent Transportation Systems (ITSC 2011)},

address={Washington, DC},

pages={1369--1374},

month=oct,

year={2011}

}

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