Tên bài báo:

A Possibility of AI Application on Mode-choice Prediction of Transport Users in Hanoi
Tác giả:
Trương Thị Mỹ Thanh
Tham gia cùng:
Phạm Thái Bình
Lý Hải Bằng
Tạp chí:
CIGOS 2019, Innovation for Sustainable Infrastructure
Năm xuất bản:
Từ trang 1179 đến trang 1184
Lĩnh vực:
Kinh tế - vận tải
Phạm vi:
Quốc tế

Tóm tắt:

Mode choice is a significant analysis of travel demand modelling. The selection of transport mode highly depends on the travel behavior of transport users, for instance, travel distance, trip cost, trip purpose, household income and so on. This study aims at investigating the possibility of applying Artificial Intelligent (AI) method to predict the mode choice through travel behavior survey data with a focus on Hanoi city - Vietnam. Firstly, travel interview survey was conducted with the involvement of 311 transport users at different land-use types. The study secondly applies the Ensemble Decision Trees (EDT) method to predict the mode-choice of transport users. Finally, the recommendation for a possibility of AI application on travel mode-choice is also proposed. The results of this study might beneficial for transport planners and transport authorities. The application of AI on parking demand forecast also contributes for the big data application on transport demand modeling.

Từ khóa:

Travel Behavior Mode Choice Machine learning; Ensemble Decision Trees
Thông tin tác giả
Trương Thị Mỹ Thanh

Trương Thị Mỹ Thanh

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