Integrating activity-based and traffic assignment models: Methodology and case study application

被引:1
|
作者
Agriesti, Serio [1 ,2 ]
Anashin, Petr [1 ,3 ,4 ]
Roncoli, Claudio [1 ]
Nahmias-Biran, Bat-hen [5 ]
机构
[1] Aalto Univ, Dept Built Environm, Espoo, Finland
[2] FinEst Ctr Smart Cities Taltech, Espoo, Finland
[3] Univ Tartu, Dept Geog, Tartu, Estonia
[4] Aalto Univ, Dept Built Environm, Tartu, Estonia
[5] Ariel Univ, Dept Civil Engn, Arid, Israel
来源
2023 8TH INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS, MT-ITS | 2023年
基金
欧盟地平线“2020”; 芬兰科学院;
关键词
activity-based modelling; SimMobility; traffic assignment;
D O I
10.1109/MT-ITS56129.2023.10241611
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a methodology to integrate two existing models: an activity-based model and a traffic assignment model, which are conceived as separately built and calibrated. Such a combination allows us to model the disaggregated interactions between supply and demand, which traditional modelling tools can frame only at the aggregate level (e.g. four-step models). An iterative method is proposed, combined with a novel formulation for a measure of error, which allows for achieving equilibrium in a limited number of iterations. The proposed method is tested using a real case study based on the City of Tallinn, Estonia, showing its effectiveness.
引用
收藏
页数:7
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