A decomposition method for estimating recursive logit based route choice models

• Main Authors: MAI, Tien, BASTIN, Fabian, FREJINGER, Emma
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2016
• Subjects: Decomposition method; Route choice; Mixed recursive logit models; Subnetworks; Cross-validation; Artificial Intelligence and Robotics; Software Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/5290; https://ink.library.smu.edu.sg/context/sis_research/article/6293/viewcontent/cirrelt_2015_66.pdf
• Institution: Singapore Management University

Fosgerau et al. (2013) recently proposed the recursive logit (RL) model for route choice problems, that can be consistently estimated and easily used for prediction without any sampling of choice sets. Its estimation however requires solving many large-scale systems of linear equations, which can be...