این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Iranian Journal of Fuzzy Systems، جلد ۹، شماره ۳، صفحات ۱۲۷-۱۴۶
عنوان فارسی PREDICTING URBAN TRIP GENERATION USING A FUZZY EXPERT SYSTEM
چکیده فارسی مقاله 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
variables.
کلیدواژه‌های فارسی مقاله Trip generation، Multiple linear regression، Membership function، Fuzzy rules، Fuzzy expert system،
عنوان انگلیسی PREDICTING URBAN TRIP GENERATION USING A FUZZY EXPERT SYSTEM
چکیده انگلیسی مقاله 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
variables.
کلیدواژه‌های انگلیسی مقاله Trip generation, Multiple linear regression, Membership function, Fuzzy rules, Fuzzy expert system
نویسندگان مقاله Amir Abbas Rassafi |
Faculty of Engineering, Imam Khomeini International Univer- sity, Qazvin, 34149, Iran

Roohollah Rezaei |
Faculty of Engineering, Imam Khomeini International University, Qazvin, 34149, Iran

Mehdi Hajizamani |
MIT-Portugal Program, Instituto Superior Tcnico, Technical University of Lisbon, Lisbon, Portugal

نشانی اینترنتی http://ijfs.usb.ac.ir/article_151_24ef363709839198fa9ec03c1232b4ff.pdf
فایل مقاله فایلی برای مقاله ذخیره نشده است
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات