Macroscopic modeling of connected, autonomous and human-driven vehicles: A pragmatic perspective
Several interdisciplinary studies have investigated the impact of Connected and Autonomous Vehicles (CAVs) on the performance of traffic networks, which expect positive effects. Nevertheless, there will be a transitional period during which both Human-Driven Vehicles (HDVs) and CAVs shall operate si...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | Transportation Research Interdisciplinary Perspectives |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2590198224000447 |
| _version_ | 1797213325041336320 |
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| author | Waheed Imran Tamás Tettamanti Balázs Varga Gennaro Nicola Bifulco Luigi Pariota |
| author_facet | Waheed Imran Tamás Tettamanti Balázs Varga Gennaro Nicola Bifulco Luigi Pariota |
| author_sort | Waheed Imran |
| collection | DOAJ |
| description | Several interdisciplinary studies have investigated the impact of Connected and Autonomous Vehicles (CAVs) on the performance of traffic networks, which expect positive effects. Nevertheless, there will be a transitional period during which both Human-Driven Vehicles (HDVs) and CAVs shall operate simultaneously. Adequate modeling of the interactions between CAVs and HDVs is vital to understand the mixed traffic dynamics. We propose a second-order macroscopic model by reconstructing the backward propagation speed of perturbation based on the dynamic headway distance between vehicles in mixed traffic. The proposed model is validated using microscopic simulations, and it replicates the given traffic scenarios subjected to assorted Penetration Rate (PR) of CAVs. The proposed model is employed to investigate the dynamics of mixed traffic. The results demonstrate that the average traffic velocity and the Level of Service (LOS) significantly improve with the increase in the PR of CAVs. Additionally, the performance of the proposed model is compared with the well-known Jiang-Qing-Zhu (JQZ) model, and it outperforms the JQZ model. The proposed model can be employed in traffic forecasting and real-time traffic control. |
| first_indexed | 2024-03-07T14:00:12Z |
| format | Article |
| id | doaj.art-855a2907fdeb4bbb8c2487402c0a3a74 |
| institution | Directory Open Access Journal |
| issn | 2590-1982 |
| language | English |
| last_indexed | 2024-04-24T10:56:29Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Transportation Research Interdisciplinary Perspectives |
| spelling | doaj.art-855a2907fdeb4bbb8c2487402c0a3a742024-04-12T04:45:54ZengElsevierTransportation Research Interdisciplinary Perspectives2590-19822024-03-0124101058Macroscopic modeling of connected, autonomous and human-driven vehicles: A pragmatic perspectiveWaheed Imran0Tamás Tettamanti1Balázs Varga2Gennaro Nicola Bifulco3Luigi Pariota4Department of Civil, Architectural and Environmental Engineering, University of Naples, Federico II, Via Claudio 21, Naples, 80125, Campania, ItalyDepartment of Control for Transportation and Vehicle Systems, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111, Budapest, HungaryDepartment of Control for Transportation and Vehicle Systems, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, Műegyetem rkp. 3., H-1111, Budapest, HungaryDepartment of Civil, Architectural and Environmental Engineering, University of Naples, Federico II, Via Claudio 21, Naples, 80125, Campania, ItalyDepartment of Civil, Architectural and Environmental Engineering, University of Naples, Federico II, Via Claudio 21, Naples, 80125, Campania, Italy; Corresponding author.Several interdisciplinary studies have investigated the impact of Connected and Autonomous Vehicles (CAVs) on the performance of traffic networks, which expect positive effects. Nevertheless, there will be a transitional period during which both Human-Driven Vehicles (HDVs) and CAVs shall operate simultaneously. Adequate modeling of the interactions between CAVs and HDVs is vital to understand the mixed traffic dynamics. We propose a second-order macroscopic model by reconstructing the backward propagation speed of perturbation based on the dynamic headway distance between vehicles in mixed traffic. The proposed model is validated using microscopic simulations, and it replicates the given traffic scenarios subjected to assorted Penetration Rate (PR) of CAVs. The proposed model is employed to investigate the dynamics of mixed traffic. The results demonstrate that the average traffic velocity and the Level of Service (LOS) significantly improve with the increase in the PR of CAVs. Additionally, the performance of the proposed model is compared with the well-known Jiang-Qing-Zhu (JQZ) model, and it outperforms the JQZ model. The proposed model can be employed in traffic forecasting and real-time traffic control.http://www.sciencedirect.com/science/article/pii/S2590198224000447Connected and autonomous vehicles Cooperative, connected, and automated mobilityMacroscopic modelHuman-driven vehiclesTraffic modelingMicroscopic traffic simulation |
| spellingShingle | Waheed Imran Tamás Tettamanti Balázs Varga Gennaro Nicola Bifulco Luigi Pariota Macroscopic modeling of connected, autonomous and human-driven vehicles: A pragmatic perspective Transportation Research Interdisciplinary Perspectives Connected and autonomous vehicles Cooperative, connected, and automated mobility Macroscopic model Human-driven vehicles Traffic modeling Microscopic traffic simulation |
| title | Macroscopic modeling of connected, autonomous and human-driven vehicles: A pragmatic perspective |
| title_full | Macroscopic modeling of connected, autonomous and human-driven vehicles: A pragmatic perspective |
| title_fullStr | Macroscopic modeling of connected, autonomous and human-driven vehicles: A pragmatic perspective |
| title_full_unstemmed | Macroscopic modeling of connected, autonomous and human-driven vehicles: A pragmatic perspective |
| title_short | Macroscopic modeling of connected, autonomous and human-driven vehicles: A pragmatic perspective |
| title_sort | macroscopic modeling of connected autonomous and human driven vehicles a pragmatic perspective |
| topic | Connected and autonomous vehicles Cooperative, connected, and automated mobility Macroscopic model Human-driven vehicles Traffic modeling Microscopic traffic simulation |
| url | http://www.sciencedirect.com/science/article/pii/S2590198224000447 |
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