Improved Car-Following Model for Connected Vehicles on Curved Multi-Lane Road
Under the development of intelligent network technology, drivers can obtain the surrounding traffic situation in real time, which is conducive to improving the stability of traffic flow. Therefore, this paper proposes a new curve-car-following model considering multi-vehicle information of adjacent...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2024-02-01
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| Series: | World Electric Vehicle Journal |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2032-6653/15/3/82 |
| _version_ | 1797239029976006656 |
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| author | Xu Han Minghui Ma Shidong Liang Jufen Yang Chaoteng Wu |
| author_facet | Xu Han Minghui Ma Shidong Liang Jufen Yang Chaoteng Wu |
| author_sort | Xu Han |
| collection | DOAJ |
| description | Under the development of intelligent network technology, drivers can obtain the surrounding traffic situation in real time, which is conducive to improving the stability of traffic flow. Therefore, this paper proposes a new curve-car-following model considering multi-vehicle information of adjacent lanes in connected environment, and conducts linear and nonlinear stability analyses of the model to demonstrate the effectiveness of the proposed model and its ability to improve the stability of traffic system; in addition, numerical simulation experiments of traffic flow convoys are designed to analyze the effects of different parameters in the proposed model on the stability of the traffic flow and test the proposed model’s ability to maintain the following behavior in a convoy. Furthermore, numerical simulation experiments are designed to analyze the effects of different parameters in the proposed model on the stability of traffic flow, and to test the ability of the proposed model to maintain the following behavior in the convoy. The model can provide theoretical guidance to alleviate traffic congestion and improve safety, and extend the application of the following model in curved multi-lane road scenarios. |
| first_indexed | 2024-04-24T17:45:03Z |
| format | Article |
| id | doaj.art-6ba338038f40447187dd834d306fb857 |
| institution | Directory Open Access Journal |
| issn | 2032-6653 |
| language | English |
| last_indexed | 2024-04-24T17:45:03Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | World Electric Vehicle Journal |
| spelling | doaj.art-6ba338038f40447187dd834d306fb8572024-03-27T14:08:35ZengMDPI AGWorld Electric Vehicle Journal2032-66532024-02-011538210.3390/wevj15030082Improved Car-Following Model for Connected Vehicles on Curved Multi-Lane RoadXu Han0Minghui Ma1Shidong Liang2Jufen Yang3Chaoteng Wu4School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, ChinaSchool of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, ChinaBusiness School, University of Shanghai for Science and Technology, Shanghai 200093, ChinaSchool of Urban Rail Transportation, Shanghai University of Engineering Science, Shanghai 201620, ChinaShanghai Intelligent System Co., Ltd., Shanghai 200063, ChinaUnder the development of intelligent network technology, drivers can obtain the surrounding traffic situation in real time, which is conducive to improving the stability of traffic flow. Therefore, this paper proposes a new curve-car-following model considering multi-vehicle information of adjacent lanes in connected environment, and conducts linear and nonlinear stability analyses of the model to demonstrate the effectiveness of the proposed model and its ability to improve the stability of traffic system; in addition, numerical simulation experiments of traffic flow convoys are designed to analyze the effects of different parameters in the proposed model on the stability of the traffic flow and test the proposed model’s ability to maintain the following behavior in a convoy. Furthermore, numerical simulation experiments are designed to analyze the effects of different parameters in the proposed model on the stability of traffic flow, and to test the ability of the proposed model to maintain the following behavior in the convoy. The model can provide theoretical guidance to alleviate traffic congestion and improve safety, and extend the application of the following model in curved multi-lane road scenarios.https://www.mdpi.com/2032-6653/15/3/82car-following modelcurved roadmuti-lane roaddriver’s attention stability analysisconnected vehiclestraffic flow |
| spellingShingle | Xu Han Minghui Ma Shidong Liang Jufen Yang Chaoteng Wu Improved Car-Following Model for Connected Vehicles on Curved Multi-Lane Road World Electric Vehicle Journal car-following model curved road muti-lane road driver’s attention stability analysis connected vehicles traffic flow |
| title | Improved Car-Following Model for Connected Vehicles on Curved Multi-Lane Road |
| title_full | Improved Car-Following Model for Connected Vehicles on Curved Multi-Lane Road |
| title_fullStr | Improved Car-Following Model for Connected Vehicles on Curved Multi-Lane Road |
| title_full_unstemmed | Improved Car-Following Model for Connected Vehicles on Curved Multi-Lane Road |
| title_short | Improved Car-Following Model for Connected Vehicles on Curved Multi-Lane Road |
| title_sort | improved car following model for connected vehicles on curved multi lane road |
| topic | car-following model curved road muti-lane road driver’s attention stability analysis connected vehicles traffic flow |
| url | https://www.mdpi.com/2032-6653/15/3/82 |
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