Parameters Estimation of a Microscopic Traffic Flow Sub-Model Within a Multiscale Approach Using Experimental Data
Future traffic contexts will likely involve the coexistence of human-driven vehicles and connected and automated vehicles (CAVs). To assess the impact of CAVs, especially in large-scale applications, intermediate hybrid multi-scale models can be used. These models are easily adaptable to traffic con...
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Open Journal of Intelligent Transportation Systems |
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| Online Access: | https://ieeexplore.ieee.org/document/10597615/ |
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| author | Facundo Storani Roberta Di Pace Shi-Teng Zheng Rui Jiang Stefano de Luca |
| author_facet | Facundo Storani Roberta Di Pace Shi-Teng Zheng Rui Jiang Stefano de Luca |
| author_sort | Facundo Storani |
| collection | DOAJ |
| description | Future traffic contexts will likely involve the coexistence of human-driven vehicles and connected and automated vehicles (CAVs). To assess the impact of CAVs, especially in large-scale applications, intermediate hybrid multi-scale models can be used. These models are easily adaptable to traffic control strategies by employing disaggregated modeling in regions where such strategies are implemented and macroscopic modeling in other regions indirectly affected by the controlled infrastructure. This paper focuses on a model previously established in the literature, the H - CA&CTM (Hybrid Cellular Automata -CA- Cell Transmission Model-CTM), with an emphasis on the micro model that can be implemented in the hybrid traffic flow model. The research has two primary aims: 1) Investigate the calibration of the CA model with respect to various cell lengths using two distinct approaches: simulating all vehicles together in a closed ring layout and simulating each vehicle using data obtained from its respective follower; 2) Utilize vehicle trajectory data for the calibration procedure, enabling a comprehensive comparison of methods. Two detailed approaches were considered: 1. Measured Leader – Simulated Follower interaction approach. 2. Simulated Leader – Simulated Follower interaction approach. The major finding of the paper is that the calibrated parameters obtained using the Simulated Leader approach display greater regularity across different cell lengths. |
| format | Article |
| id | doaj-art-b2a4508a8439409dbaa981aceec1d1b2 |
| institution | Kabale University |
| issn | 2687-7813 |
| language | English |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Intelligent Transportation Systems |
| spelling | doaj-art-b2a4508a8439409dbaa981aceec1d1b22025-01-24T00:02:51ZengIEEEIEEE Open Journal of Intelligent Transportation Systems2687-78132024-01-01540942110.1109/OJITS.2024.342779010597615Parameters Estimation of a Microscopic Traffic Flow Sub-Model Within a Multiscale Approach Using Experimental DataFacundo Storani0https://orcid.org/0000-0001-6540-2658Roberta Di Pace1https://orcid.org/0000-0001-7589-8570Shi-Teng Zheng2Rui Jiang3https://orcid.org/0000-0002-3866-5388Stefano de Luca4https://orcid.org/0000-0002-4597-5018Department of Civil Engineering, Laboratory of Transport Systems Engineering and Sustainable Mobility, University of Salerno, Fisciano, ItalyDepartment of Civil Engineering, Laboratory of Transport Systems Engineering and Sustainable Mobility, University of Salerno, Fisciano, ItalySchool of Systems Science, Beijing Jiaotong University, Beijing, ChinaSchool of Systems Science, Beijing Jiaotong University, Beijing, ChinaDepartment of Civil Engineering, Laboratory of Transport Systems Engineering and Sustainable Mobility, University of Salerno, Fisciano, ItalyFuture traffic contexts will likely involve the coexistence of human-driven vehicles and connected and automated vehicles (CAVs). To assess the impact of CAVs, especially in large-scale applications, intermediate hybrid multi-scale models can be used. These models are easily adaptable to traffic control strategies by employing disaggregated modeling in regions where such strategies are implemented and macroscopic modeling in other regions indirectly affected by the controlled infrastructure. This paper focuses on a model previously established in the literature, the H - CA&CTM (Hybrid Cellular Automata -CA- Cell Transmission Model-CTM), with an emphasis on the micro model that can be implemented in the hybrid traffic flow model. The research has two primary aims: 1) Investigate the calibration of the CA model with respect to various cell lengths using two distinct approaches: simulating all vehicles together in a closed ring layout and simulating each vehicle using data obtained from its respective follower; 2) Utilize vehicle trajectory data for the calibration procedure, enabling a comprehensive comparison of methods. Two detailed approaches were considered: 1. Measured Leader – Simulated Follower interaction approach. 2. Simulated Leader – Simulated Follower interaction approach. The major finding of the paper is that the calibrated parameters obtained using the Simulated Leader approach display greater regularity across different cell lengths.https://ieeexplore.ieee.org/document/10597615/Cellular automataexperimental datacalibrationCCAM |
| spellingShingle | Facundo Storani Roberta Di Pace Shi-Teng Zheng Rui Jiang Stefano de Luca Parameters Estimation of a Microscopic Traffic Flow Sub-Model Within a Multiscale Approach Using Experimental Data IEEE Open Journal of Intelligent Transportation Systems Cellular automata experimental data calibration CCAM |
| title | Parameters Estimation of a Microscopic Traffic Flow Sub-Model Within a Multiscale Approach Using Experimental Data |
| title_full | Parameters Estimation of a Microscopic Traffic Flow Sub-Model Within a Multiscale Approach Using Experimental Data |
| title_fullStr | Parameters Estimation of a Microscopic Traffic Flow Sub-Model Within a Multiscale Approach Using Experimental Data |
| title_full_unstemmed | Parameters Estimation of a Microscopic Traffic Flow Sub-Model Within a Multiscale Approach Using Experimental Data |
| title_short | Parameters Estimation of a Microscopic Traffic Flow Sub-Model Within a Multiscale Approach Using Experimental Data |
| title_sort | parameters estimation of a microscopic traffic flow sub model within a multiscale approach using experimental data |
| topic | Cellular automata experimental data calibration CCAM |
| url | https://ieeexplore.ieee.org/document/10597615/ |
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