The ‘‘traffic-assignment’’ model concerns minimizing travel time over a large network, where…

 The ‘‘traffic-assignment’’ model concerns minimizing travel time over a large network, where traffic enters the network at a number of origins and must flow to a number of different destinations. We can consider this model as a multicommodity-flow problem by defining a commodity as the traffic that must flow between a particular origin– destination pair. As an alternative to the usual node–arc formulation, consider chain flows. A chain is merely a directed path through a network from an origin to a destination. In particular, let

The ‘‘traffic-assignment’’ model concerns minimizing travel time over a large network, where traffic...-1

For example, the network in Fig. shows the arc flows of one of the commodities, those vehicles entering node 1 and flowing to node 5. The chains connecting the origin–destination pair 1–5 can be used to express the flow in this network as:

The ‘‘traffic-assignment’’ model concerns minimizing travel time over a large network, where traffic...-2

Frequently an upper bound ui is imposed upon the total flow on each arc i. These restrictions are modeled as:

The ‘‘traffic-assignment’’ model concerns minimizing travel time over a large network, where traffic...-3

The summation indices jk correspond to chains joining the kth origin–destination pair. The total number of arcs is I and the total number of origin–destination pairs is K. The requirement that certain levels of traffic must flow between origin–destination pairs can be formulated as follows:

The ‘‘traffic-assignment’’ model concerns minimizing travel time over a large network, where traffic...-4

Finally, suppose that the travel time over any arc is ti , so that, if xi units travel over arc i, the total travel time on arc on arc i is ti xi .

a) Complete the ‘‘arc–chain’’ formulation of the traffic-assignment problem by specifying an objective function that minimizes total travel time on the network. [Hint. Define the travel time over a chain, using the ai j data.]

b) In reality, generating all the chains of a network is very difficult computationally. Suppose enough chains have been generated to determine a basic feasible solution to the linear program formulated in part (a). Show how to compute the reduced cost of the next chain to enter the basis from those generated thus far.

c) Now consider the chains not yet generated. In order for the current solution to be optimal, the minimum reduced costs of these chains must be nonnegative. How would you find the chain with the minimum reduced cost for each ‘‘commodity’’? [Hint. The reduced costs are, in general,

The ‘‘traffic-assignment’’ model concerns minimizing travel time over a large network, where traffic...-2

where πi and uk are the shadow prices associated with the capacity restriction on the ith constraint and flow requirement between the kth origin–destination pair. What is the sign of πi ?] d) Give an economic interpretation of πi . In the reduced cost of part (c), do the values of πi depend on which commodity flows over arc i?

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