A Data Mining Approach on Lorry Drivers Overloading in Tehran Urban Roads
The aim of this study is to identify the important factors influencing overloading of commercial vehicles on Tehran’s urban roads. The weight information of commercial freight vehicles was collected using a pair of portable scales besides other information needed including driver information, vehicl...
Saved in:
Main Authors: | Ehsan Ayazi, Abdolreza Sheikholeslami |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2020-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2020/6895407 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Investigating the Effect of Urban New Technologies on the Iranian Lorry Drivers’ Behavior
by: Abdolreza Sheikholeslami, et al.
Published: (2021-01-01) -
Analysis of scattered supernatant patterns in Tehran urban complex Emphasizing on the approaches of the urban management system
by: Sogand Yousefi azarabarghani, et al.
Published: (2022-06-01) -
The Importance of Exercise and General Mental Health on Prediction of Property-Damage-Only Accidents among Taxi Drivers in Tehran: A Study Using ANFIS-PSO and Regression Models
by: Ehsan Abbasi, et al.
Published: (2019-01-01) -
The Analysis of Driver’s Recognition Time of Different Traffic Sign Combinations on Urban Roads via Driving Simulation
by: Kun Liu, et al.
Published: (2021-01-01) -
Future Studies Urban bubble in Tehran metropolitan
by: Farzaneh Sasanpour
Published: (2017-12-01)