Calibrating Combined Model of Trip Distribution, Modal Split, and Traffic Assignment

Author(s):  
David E. Boyce ◽  
Yu-Fang Zhang

A method for calibrating a combined model of travel choices for the Chicago, Illinois, region is described and illustrated. This model and its simultaneous calibration method seek to ensure that travel choices are represented consistently, thereby offering an operational method for implementing and solving the four-step travel forecasting procedure with feedback.

2021 ◽  
Vol 2021 ◽  
pp. 1-18
Author(s):  
Seungkyu Ryu ◽  
Anthony Chen ◽  
Songyot Kitthamkesorn

This study provides a gradient projection (GP) algorithm to solve the combined modal split and traffic assignment (CMSTA) problem. The nested logit (NL) model is used to consider the mode correlation under the user equilibrium (UE) route choice condition. Specifically, a two-phase GP algorithm is developed to handle the hierarchical structure of the NL model in the CMSTA problem. The Seoul transportation network in Korea is adopted to demonstrate an applicability in a large-scale multimodal transportation network. The results show that the proposed GP solution algorithm outperforms the method of the successive averages (MSA) algorithm and the classical Evan’s algorithm.


1979 ◽  
Vol 11 (5) ◽  
pp. 575-584 ◽  
Author(s):  
D E Boyce ◽  
F Southworth

A quasi-dynamic model of residential and job location is fused with the equilibrium trip-assignment model in the manner suggested by the combined model of trip distribution and assignment. The implications of this combined model for assumptions about future levels of interaction are examined. Extensions of the model to include explicit housing stocks and prices and the determination of residential- and job-location attractiveness are considered.


Sign in / Sign up

Export Citation Format

Share Document