Ensemble learning activity scheduler for activity based travel demand models-Reference-Cited by-同舟云学术

Ensemble learning activity scheduler for activity based travel demand models

Published:2021-02 Issue: Volume:123 Page:102972
ISSN:0968-090X
Container-title:Transportation Research Part C: Emerging Technologies
language:en
Short-container-title:Transportation Research Part C: Emerging Technologies

Author:

Hafezi Mohammad Hesam,Daisy Naznin Sultana,Millward Hugh,Liu Lei

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference48 articles.

1. Daily activity pattern recognition by using support vector machines with multiple classes;Allahviranloo;Transport. Res. Part B: Methodol.,2013

2. Modeling the activity profiles of a population;Allahviranloo;Transportmetr. B: Transport Dyn.,2017

3. Arentze, T., Timmermans, H., 2000. ALBATROSS: a learning based transportation oriented simulation system. European Institute of Retailing and Services Studies (EIRASS), Technische Universiteit Eindhoven, Netherlands.

4. A learning-based transportation oriented simulation system;Arentze;Transport. Res. Part B: Methodol.,2004

5. Modeling activity conflict resolution strategies using scheduling process data;Auld;Transport. Res. Part A: Policy Pract.,2009

Cited by 21 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Generating trajectory data without behavior modeling: An online virtual reality method in wayfinding performance evaluation for buildings;Journal of Building Engineering;2024-07

2. Activity type detection of mobile phone data based on self-training: Application of the teacher–student cycling model;Transportation Research Part C: Emerging Technologies;2024-04

3. Post-COVID-19 campus commuting patterns and influential factors: evidence from a developing country;Transportation Planning and Technology;2024-01-08

4. A state-based inverse reinforcement learning approach to model activity-travel choices behavior with reward function recovery;Transportation Research Part C: Emerging Technologies;2024-01

5. An integration modeling framework for individual-scale daily mobility estimation;Travel Behaviour and Society;2024-01