Document Type : Research Paper


1 Faculty of Engineering, Imam Khomeini International Univer- sity, Qazvin, 34149, Iran

2 Faculty of Engineering, Imam Khomeini International University, Qazvin, 34149, Iran

3 MIT-Portugal Program, Instituto Superior Tcnico, Technical University of Lisbon, Lisbon, Portugal


One of the most important stages in the urban transportation
planning procedure is predicting the rate of trips generated by each trac zone.
Currently, multiple linear regression models are frequently used as a prediction
tool. This method predicts the number of trips produced from, or attracted to
each trac zone according to the values of independent variables for that zone.
One of the main limitations of this method is its huge dependency on the exact
prediction of independent variables in future (horizon of the plan). The other
limitation is its many assumptions, which raise challenging questions of its
application. The current paper attempts to use fuzzy logic and its capabilities
to estimate the trip generation of urban zones. A fuzzy expert system is
introduced, which is able to make suitable predictions using uncertain and
inexact data. Results of the study on the data for Mashhad (Lon: 59.37 E,
Lat: 36.19 N) show that this method can be a good competitor for multiple
linear regression method, specially, when there is no exact data for independent


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