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CO2 emission control in new CM car-following model with feedback control of the optimal estimation of velocity difference under V2X environment

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【作者】 彭光含； 汤瑞； 邝华； 谭惠丽； 陈陶；

【Author】 Guang-Han Peng;Rui Tang;Hua Kuang;Hui-Li Tan;Tao Chen;College of Physical Science and Technology, Guangxi Normal University;Boyuan Scientific Instruments(Zhenjiang)Co., Ltd;

【通讯作者】 彭光含;

【机构】 College of Physical Science and Technology, Guangxi Normal University； Boyuan Scientific Instruments(Zhenjiang)Co., Ltd；

【摘要】 A new coupled map car-following model in this paper is proposed by considering the influence of the difference of the estimated optimal speed based on the coupled map（CM） car-following model under V2X environment. The stability of the new model is analyzed by applying the control theory, and the conditions are obtained for the stability of the traffic system. And the two scenes of vehicle stopping once and four times have been simulated. The simulation results show that the control term considered with optimal estimation of speed difference can effectively improve the stability of vehicle running and reduce CO2 emissions in the CM car-following model.

【Abstract】 A new coupled map car-following model in this paper is proposed by considering the influence of the difference of the estimated optimal speed based on the coupled map（CM） car-following model under V2X environment. The stability of the new model is analyzed by applying the control theory, and the conditions are obtained for the stability of the traffic system. And the two scenes of vehicle stopping once and four times have been simulated. The simulation results show that the control term considered with optimal estimation of speed difference can effectively improve the stability of vehicle running and reduce CO2 emissions in the CM car-following model.

【关键词】 traffic flow； optimal velocity model； numerical simulation；
【Key words】 traffic flow； optimal velocity model； numerical simulation；
【基金】 Project supported by the National Natural Science Foundation of China (Grant Nos. 61963008, 61673168, 11762004, and 12047567);the Natural Science Foundation of Guangxi Zhuang Autonomous Region,China (Grant No. 2018GXNSFAA281274);Guangxi Innovation-Driven Development Special Fund Project(Grant No. GUIKEAA19254034-3);the Doctor Scientific Research Startup Project Foundation of Guangxi Normal University,China (Grant No. 2018BQ007);the Science and Technology Project of Zhenjiang City,Jiangsu Province,China (Grant No. GY2020019)
  • 【文献出处】 Chinese Physics B ,中国物理B , 编辑部邮箱 ,2021年10期
  • 【分类号】U491
  • 【下载频次】35
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