Integrated-Hybrid Framework for Connected and Autonomous Vehicles Microscopic Traffic Flow Modelling
In this study, a novel traffic flow modeling framework is proposed considering the impact of driving system and vehicle mechanical behavior as two different units on the traffic flow. To precisely model the behavior of Connected and Autonomous (CA) vehicles, three submodels are proposed as a novel m...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Journal of Advanced Transportation |
| Online Access: | http://dx.doi.org/10.1155/2022/2253697 |
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| _version_ | 1832553582530920448 |
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| author | Ammar Jafaripournimchahi Yingfeng Cai Hai Wang Lu Sun Jiancheng Weng |
| author_facet | Ammar Jafaripournimchahi Yingfeng Cai Hai Wang Lu Sun Jiancheng Weng |
| author_sort | Ammar Jafaripournimchahi |
| collection | DOAJ |
| description | In this study, a novel traffic flow modeling framework is proposed considering the impact of driving system and vehicle mechanical behavior as two different units on the traffic flow. To precisely model the behavior of Connected and Autonomous (CA) vehicles, three submodels are proposed as a novel microscopic traffic flow framework, named Integrated-Hybrid (IH) model. Focusing on the realization of the car following behavior of CA vehicles, the driving system (vehicle control system) and the vehicle mechanical system are modeled separately and linked by throttle and brake actuators model. The IH model constitutes the key part of the Full Velocity Difference (FVD) model considering the mechanical capability of vehicles and dynamic collision avoidance strategies to ensure the safety of following distance between two consecutive vehicles. Linear stability conditions are derived for each model and developing methodology for each submodel is discussed. Our simulations revealed that the IH model successfully generates velocity and acceleration profiles during car following maneuvers and throttle angle/brake information in connected vehicles environment can effectively improve traffic flow stability. The vehicles’ departure and arrival process while passing through a signal-lane with a traffic light considering the anticipation driving behavior and throttle angle/brake information of direct leading vehicle was explored. Our numerical results demonstrated that the IH model can capture the velocity fluctuations, delay times, and kinematic waves efficiently in traffic flow. |
| format | Article |
| id | doaj-art-0043e48ce6b94377a66b8bcf0f8188e1 |
| institution | Kabale University |
| issn | 2042-3195 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Advanced Transportation |
| spelling | doaj-art-0043e48ce6b94377a66b8bcf0f8188e12025-02-03T05:53:39ZengWileyJournal of Advanced Transportation2042-31952022-01-01202210.1155/2022/2253697Integrated-Hybrid Framework for Connected and Autonomous Vehicles Microscopic Traffic Flow ModellingAmmar Jafaripournimchahi0Yingfeng Cai1Hai Wang2Lu Sun3Jiancheng Weng4Automotive Engineering Research InstituteAutomotive Engineering Research InstituteSchool of Automotive and Traffic EngineeringDepartment of Civil Engineering TechnologyBeijing Key Laboratory of Traffic EngineeringIn this study, a novel traffic flow modeling framework is proposed considering the impact of driving system and vehicle mechanical behavior as two different units on the traffic flow. To precisely model the behavior of Connected and Autonomous (CA) vehicles, three submodels are proposed as a novel microscopic traffic flow framework, named Integrated-Hybrid (IH) model. Focusing on the realization of the car following behavior of CA vehicles, the driving system (vehicle control system) and the vehicle mechanical system are modeled separately and linked by throttle and brake actuators model. The IH model constitutes the key part of the Full Velocity Difference (FVD) model considering the mechanical capability of vehicles and dynamic collision avoidance strategies to ensure the safety of following distance between two consecutive vehicles. Linear stability conditions are derived for each model and developing methodology for each submodel is discussed. Our simulations revealed that the IH model successfully generates velocity and acceleration profiles during car following maneuvers and throttle angle/brake information in connected vehicles environment can effectively improve traffic flow stability. The vehicles’ departure and arrival process while passing through a signal-lane with a traffic light considering the anticipation driving behavior and throttle angle/brake information of direct leading vehicle was explored. Our numerical results demonstrated that the IH model can capture the velocity fluctuations, delay times, and kinematic waves efficiently in traffic flow.http://dx.doi.org/10.1155/2022/2253697 |
| spellingShingle | Ammar Jafaripournimchahi Yingfeng Cai Hai Wang Lu Sun Jiancheng Weng Integrated-Hybrid Framework for Connected and Autonomous Vehicles Microscopic Traffic Flow Modelling Journal of Advanced Transportation |
| title | Integrated-Hybrid Framework for Connected and Autonomous Vehicles Microscopic Traffic Flow Modelling |
| title_full | Integrated-Hybrid Framework for Connected and Autonomous Vehicles Microscopic Traffic Flow Modelling |
| title_fullStr | Integrated-Hybrid Framework for Connected and Autonomous Vehicles Microscopic Traffic Flow Modelling |
| title_full_unstemmed | Integrated-Hybrid Framework for Connected and Autonomous Vehicles Microscopic Traffic Flow Modelling |
| title_short | Integrated-Hybrid Framework for Connected and Autonomous Vehicles Microscopic Traffic Flow Modelling |
| title_sort | integrated hybrid framework for connected and autonomous vehicles microscopic traffic flow modelling |
| url | http://dx.doi.org/10.1155/2022/2253697 |
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