Comparison of Clustered-based MNL and Duration Models in Departure Time Choice Modelling
One of the important decisions for travellers about each trip is the time that they depart from their point of origin. The aggregation of the departure times of all travellers forms the pattern of a temporal distribution of trips in a day and also peak periods of a day. In this paper, we applied the...
Main Authors: | Shahriar Afandizadeh Zargari*, Farshid Safari |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering in Osijek
2021-01-01
|
Series: | Tehnički Vjesnik |
Subjects: | |
Online Access: | https://hrcak.srce.hr/file/365710 |
Similar Items
-
Using Clustering Methods in Multinomial Logit Model for Departure Time Choice
by: Shahriar Afandizadeh Zargari, et al.
Published: (2020-01-01) -
Sensitivity Analysis of Incentive Situations and Personal Attributes to Driving Anger Based on MNL Model: A Naturalistic Experimental Study
by: Ping Wan, et al.
Published: (2021-01-01) -
Modeling Concurrent Day-to-Day Departure Time and Route Choices With Multiple Micro-Preferences
by: Wenyi Zhang, et al.
Published: (2020-01-01) -
A Bayesian Network Modeling for Departure Time Choice: A Case Study of Beijing Subway
by: Xian Li, et al.
Published: (2018-11-01) -
Genetic algorithm for solving dynamic simultaneous route and departure time equilibrium problem
by: Shu-Guang Li
Published: (2008-03-01)