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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Main Authors: Facundo Storani, Roberta Di Pace, Shi-Teng Zheng, Rui Jiang, Stefano de Luca
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Intelligent Transportation Systems
Subjects:
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.
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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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AT robertadipace parametersestimationofamicroscopictrafficflowsubmodelwithinamultiscaleapproachusingexperimentaldata
AT shitengzheng parametersestimationofamicroscopictrafficflowsubmodelwithinamultiscaleapproachusingexperimentaldata
AT ruijiang parametersestimationofamicroscopictrafficflowsubmodelwithinamultiscaleapproachusingexperimentaldata
AT stefanodeluca parametersestimationofamicroscopictrafficflowsubmodelwithinamultiscaleapproachusingexperimentaldata