Urban transportation systems and traffic management
1. Traffic management via traffic parameters prediction by using machine learning algorithms

A. Rasaizadi; A. Ardestani; S.E. Seyedabrishami

Volume 6, Issue 1 , Winter 2021, , Pages 57-68


  BACKGROUND AND OBJECTIVES: One of the short-term strategies to manage the traffic and make a balance between travel supply and demand for the near future is the short-term prediction of traffic parameters and informing the passengers. Therefore passengers are more likely to avoid traveling during traffic ...  Read More

Urban transportation systems and traffic management
2. Effect of family structure on urban areas modal split by using the life cycle concept

A. Rasaizadi; M. Askari

Volume 5, Issue 2 , Spring 2020, , Pages 165-174


  The modal split model is one of the steps of the classical four-step travel demand planning. Predictive, descriptive, and prescriptive modal split models are essential to make a balance between travel demand and supply. To calibrate these models, it is necessary to detect and employ influential independent ...  Read More