Route Choice Considering Hybrid Regret and Utility Modeling Under Big Data Context

Route Choice Considering Hybrid Regret and Utility Modeling Under Big Data Context

There are two ways to predict and evaluate decision-makers' route choice behavior: random utility maximization (RUM) and random regret minimization (RRM). In this paper, the main purpose is to use the characteristics of regret weight in GRRM to get a hybrid RUM-RRM model. To illustrate the asym...

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Bibliographic Details
Main Authors: Dawei Li, Yuchen Song
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Route choice
random utility
random regret
hybrid model
regret weight
big data
Online Access:https://ieeexplore.ieee.org/document/8950139/

Internet

https://ieeexplore.ieee.org/document/8950139/

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