Predicting the Traffic Crashes of Taxi Drivers by Applying the Non-Linear Learning of ANFIS-PSO with M5 Model Tree
As an essential issue in traffic crashes, human factor plays an indispensable role. This study uses the general health questionnaire (GHQ-12) within some socio-demographic and also a number of daily exercise related questions for prediction of traffic crashes among taxi drivers in the City of Tehran...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
K. N. Toosi University of Technology
2019-02-01
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| Series: | Numerical Methods in Civil Engineering |
| Subjects: | |
| Online Access: | https://nmce.kntu.ac.ir/article_160473_2c5f9f0b85612675f6ed216a796e18e5.pdf |
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