A Monte Carlo Study of Integrating Discrete Choice Models and Neural Networks in Transportation Decision-Making

Fuming Zhang

2025

Abstract

With the rapid development of urban transportation systems and the increasing diversity of residents' travel behaviors, accurately modeling individuals' choice behaviors among different travel modes has become an important topic in traffic behavior research. The traditional multinomial Logit (MNL) discrete choice model is widely used in travel decision modeling due to its simple structure and good interpretability. However, the MNL model has certain limitations when dealing with nonlinear preference relations and behavioral heterogeneity. To this end, this paper proposes a hybrid discrete choice model (HDCM) framework that integrates neural networks (NNs) and attention mechanisms. On the basis of retaining the interpretability of variables, the HDCM enhances the expression ability of complex behavioral patterns. This paper evaluates the model performance by constructing simulation data containing standard normal explanatory variables and conducting Monte Carlo experiments. The experimental results show that the HDCM outperforms the MNL model and the pure NN model in terms of parameter estimation accuracy, error indicators (mean squared error (MSE), mean absolute error (MAE)), and confidence interval coverage, demonstrating stronger stability and adaptability. This research provides a more flexible and effective analytical tool for modeling complex travel decision-making behaviors and has a promising application prospect.

Paper Citation

in Harvard Style

Zhang F. (2025). A Monte Carlo Study of Integrating Discrete Choice Models and Neural Networks in Transportation Decision-Making. In Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI; ISBN 978-989-758-792-4, SciTePress, pages 522-526. DOI: 10.5220/0014362200004718

in Bibtex Style

@conference{emiti25,
author={Fuming Zhang},
title={A Monte Carlo Study of Integrating Discrete Choice Models and Neural Networks in Transportation Decision-Making},
booktitle={Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI},
year={2025},
pages={522-526},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0014362200004718},
isbn={978-989-758-792-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Engineering Management, Information Technology and Intelligence - Volume 1: EMITI
TI - A Monte Carlo Study of Integrating Discrete Choice Models and Neural Networks in Transportation Decision-Making
SN - 978-989-758-792-4
AU - Zhang F.
PY - 2025
SP - 522
EP - 526
DO - 10.5220/0014362200004718
PB - SciTePress