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VISSIM 5.30-05 User Manual

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Optional Enhancements of the Model<br />

differ only by a small section. In this case both routes have about the same<br />

weight within the distribution, but the overall distribution is biased. This is a<br />

general problem of Dynamic Assignment and know as the blue/red bus<br />

paradox. The following graphics illustrate the problem:<br />

Case 1<br />

Two routes with identical cost. The trips<br />

are split 50:50, no problem.<br />

Case 2<br />

Three routes with identical costs. Each<br />

1/3<br />

route receives one third of the demand<br />

from A to B, still no problem. A<br />

1/3<br />

1/3<br />

B<br />

Case 3<br />

Problem: Actually there are only two<br />

distinct routes, but because of the slight<br />

variations at the end, the route search<br />

finds 3 routes.<br />

Result: Distribution on 3 routes, but the<br />

overlapping part of the two similar<br />

paths contains too much traffic.<br />

Case 4<br />

Opposite problem of case 3: Actually<br />

there are 3 routes but two have a short<br />

part in common.<br />

As in case 3 all three routes will get<br />

about one third of the demand, which is<br />

much more realistic than in case 3.<br />

<strong>User</strong> <strong>Manual</strong> © PTV AG 2011 633<br />

A<br />

1/2<br />

1/2<br />

2/3<br />

B<br />

A<br />

1/3<br />

B<br />

2/3<br />

1/3<br />

1/3<br />

1/3<br />

A<br />

B<br />

Solution in <strong>VISSIM</strong><br />

<strong>VISSIM</strong> offers an optional extension of the route choice model to correct the<br />

biased distribution in case of overlapping routes. It is based on the idea of<br />

the computation of a so called commonality factor of the routes. The<br />

commonality factor expresses how much of a route is shared with other<br />

routes. A high commonality factor indicates that a route has many edges in<br />

common with other routes, and a low commonality factor indicates that a<br />

route is quite independent of others. The commonality factor is then taken<br />

into account in the route choice model in way that a high commonality factor<br />

reduces the probability of the route to be chosen.<br />

1/3<br />

1/3

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