Analyzing Rail Traffic Diversion Based on Machine Learning Technique considering Transportation Security
Based on a stated preference survey, we comprehensively analyze the travel psychology of residents and the advantages and disadvantages of rail transit and conventional buses, travel time, travel cost, travel security, and vehicle comfort and investigate the relationship between the relevant influen...
Saved in:
Main Authors: | Jing Luo, Dai Zhou, Wenjun Ma, Guohua Zhao |
---|---|
Format: | Article |
Language: | English |
Published: |
Wiley
2022-01-01
|
Series: | Journal of Advanced Transportation |
Online Access: | http://dx.doi.org/10.1155/2022/8349173 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Highway Travel Time Prediction of Segments Based on ANPR Data considering Traffic Diversion
by: Wenjun Du, et al.
Published: (2021-01-01) -
Analyzing the Performance of Machine Learning Techniques in Disease Prediction
by: Khongdet Phasinam, et al.
Published: (2022-01-01) -
Machine Learning Techniques for Classification of Stress Levels in Traffic
by: Amanda Trojan Fenerich, et al.
Published: (2024-06-01) -
Retracted: Analyzing the Performance of Machine Learning Techniques in Disease Prediction
by: Journal of Food Quality
Published: (2023-01-01) -
Anomaly Detection in Network Traffic Using Advanced Machine Learning Techniques
by: Stephanie Ness, et al.
Published: (2025-01-01)