A viscous continuum traffic flow model based on the cooperative car‐following behaviour of connected and autonomous vehicles
Abstract Connected and Autonomous Vehicles (CAVs) can receive various information from surrounding vehicles through Vehicle‐to‐Everything (V2X) communication technologies and adjust their car‐following behaviour accordingly. Although several studies have evaluated the impact of CAVs on traffic flow...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-05-01
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| Series: | IET Intelligent Transport Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/itr2.12320 |
| _version_ | 1797824443097022464 |
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| author | Ammar Jafaripournimchahi Yingfeng Cai Hai Wang Lu Sun Yili Tang Arman Amani Babadi |
| author_facet | Ammar Jafaripournimchahi Yingfeng Cai Hai Wang Lu Sun Yili Tang Arman Amani Babadi |
| author_sort | Ammar Jafaripournimchahi |
| collection | DOAJ |
| description | Abstract Connected and Autonomous Vehicles (CAVs) can receive various information from surrounding vehicles through Vehicle‐to‐Everything (V2X) communication technologies and adjust their car‐following behaviour accordingly. Although several studies have evaluated the impact of CAVs on traffic flow stability in a small segment of networks, most approaches are focused on their specific applications considering the trajectory information, and there is a lack of studies analyzing the impact of CAVs on a large‐scale network. This paper proposes a novel viscous continuum traffic model considering the anticipation of space headway, the throttle angle, and brake torque information during cooperative car‐following. The methods employed to develop the new car‐following model and its counterpart continuum traffic model have been described. The linear and non‐linear stability analyses of the newly developed model have been conducted to obtain the critical stability factors in small perturbations. Numerical simulations have been carried out to investigate the effect of the anticipation, the throttle angle, and brake torque information on traffic stability, fuel consumption, and exhaust emissions. The numerical results reveal that the anticipation of space headway and the transmission of the throttle angle and brake torque information during cooperative car‐following manoeuvres can improve the traffic flow stability and reduce fuel consumption and emissions. |
| first_indexed | 2024-03-13T10:38:03Z |
| format | Article |
| id | doaj.art-6db36ae9517d46e0908bac571535185b |
| institution | Directory Open Access Journal |
| issn | 1751-956X 1751-9578 |
| language | English |
| last_indexed | 2024-03-13T10:38:03Z |
| publishDate | 2023-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | IET Intelligent Transport Systems |
| spelling | doaj.art-6db36ae9517d46e0908bac571535185b2023-05-18T05:18:26ZengWileyIET Intelligent Transport Systems1751-956X1751-95782023-05-0117597399110.1049/itr2.12320A viscous continuum traffic flow model based on the cooperative car‐following behaviour of connected and autonomous vehiclesAmmar Jafaripournimchahi0Yingfeng Cai1Hai Wang2Lu Sun3Yili Tang4Arman Amani Babadi5Automotive Engineering Research Institute Jiangsu University Zhenjiang Jiangsu 212013 ChinaAutomotive Engineering Research Institute Jiangsu University Zhenjiang Jiangsu 212013 ChinaSchool of Automotive and Traffic Engineering Jiangsu University Zhenjiang Jiangsu 212013 ChinaDepartment of Civil Engineering Technology Environmental Management and Safety College of Engineering Technology Rochester Institute of Technology New York 14623 USADepartment of Engineering and Applied Science University of Regina Regina Saskatchewan S4S 0A2 CanadaSchool of Energy and power engineering Jiangsu University Zhenjiang Jiangsu 212013 ChinaAbstract Connected and Autonomous Vehicles (CAVs) can receive various information from surrounding vehicles through Vehicle‐to‐Everything (V2X) communication technologies and adjust their car‐following behaviour accordingly. Although several studies have evaluated the impact of CAVs on traffic flow stability in a small segment of networks, most approaches are focused on their specific applications considering the trajectory information, and there is a lack of studies analyzing the impact of CAVs on a large‐scale network. This paper proposes a novel viscous continuum traffic model considering the anticipation of space headway, the throttle angle, and brake torque information during cooperative car‐following. The methods employed to develop the new car‐following model and its counterpart continuum traffic model have been described. The linear and non‐linear stability analyses of the newly developed model have been conducted to obtain the critical stability factors in small perturbations. Numerical simulations have been carried out to investigate the effect of the anticipation, the throttle angle, and brake torque information on traffic stability, fuel consumption, and exhaust emissions. The numerical results reveal that the anticipation of space headway and the transmission of the throttle angle and brake torque information during cooperative car‐following manoeuvres can improve the traffic flow stability and reduce fuel consumption and emissions.https://doi.org/10.1049/itr2.12320autonomous drivingcongestion evaluationenvironmentalmanagement and controltraffic modelling |
| spellingShingle | Ammar Jafaripournimchahi Yingfeng Cai Hai Wang Lu Sun Yili Tang Arman Amani Babadi A viscous continuum traffic flow model based on the cooperative car‐following behaviour of connected and autonomous vehicles IET Intelligent Transport Systems autonomous driving congestion evaluation environmental management and control traffic modelling |
| title | A viscous continuum traffic flow model based on the cooperative car‐following behaviour of connected and autonomous vehicles |
| title_full | A viscous continuum traffic flow model based on the cooperative car‐following behaviour of connected and autonomous vehicles |
| title_fullStr | A viscous continuum traffic flow model based on the cooperative car‐following behaviour of connected and autonomous vehicles |
| title_full_unstemmed | A viscous continuum traffic flow model based on the cooperative car‐following behaviour of connected and autonomous vehicles |
| title_short | A viscous continuum traffic flow model based on the cooperative car‐following behaviour of connected and autonomous vehicles |
| title_sort | viscous continuum traffic flow model based on the cooperative car following behaviour of connected and autonomous vehicles |
| topic | autonomous driving congestion evaluation environmental management and control traffic modelling |
| url | https://doi.org/10.1049/itr2.12320 |
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