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  • 莫业柳,时伟,薛郁,唐铁桥.一种新的多速度差交通流跟驰模型[J].广西科学,2008,15(4):389-395.    [点击复制]
  • MO Ye-liu,SHI Wei,XUE Yu,TANG Tie-qiao.A New Multi-velocity Difference Car-following Model[J].Guangxi Sciences,2008,15(4):389-395.   [点击复制]
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一种新的多速度差交通流跟驰模型
莫业柳1, 时伟2,3, 薛郁1,3, 唐铁桥4
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(1.广西大学物理科学与工程技术学院, 广西南宁 530004;2.梧州学院数理系, 广西梧州 543002;3.上海大学上海市应用数学与力学研究所, 上海 200072;4.北京航空航天大学汽车工程系, 北京 100083)
摘要:
从提高车流的稳定性和降低车流能耗的角度,考虑多辆车相对速度的总体阻尼效应,提出一种多重"向前看"多速度差交通流跟驰模型(MRVOV模型),并将该模型与几种典型的跟驰模型的稳定性及能耗进行比较。结果表明在充分利用前方车辆运动信息的情况下,MRVOV模型能较好的反映现实交通的跟驰效应,仅仅考虑前方较少车辆对当前车的影响,就可以增强车流的稳定性,降低资源浪费,减少对周围环境的污染。
关键词:  跟驰模型  多速度差  交通流  稳定性  能耗
DOI:
投稿时间:2007-12-28修订日期:2008-03-24
基金项目:国家自然科学基金项目(No.10362001和No.10532060);国家重点基础研究发展计划(No.2006CB705500);广西"新世纪十百千人才工程"专项资金(No.2005205)资助
A New Multi-velocity Difference Car-following Model
MO Ye-liu1, SHI Wei2,3, XUE Yu1,3, TANG Tie-qiao4
(1.College of Physical Science and Technology, Guangxi University, Nanning, Guangxi, 530004, China;2.Institute of Mathematics and Physics, Wuzhou University, Wuzhou, Guangxi, 543002, China;3.Shanghai Institute of Applied Mathematics and Mechanics, Shanghai University, Shanghai, 200072, China;4.Department of Automobile Engineering, Beijing University of Aeronatics and Astronatics, Beijing, 100083, China)
Abstract:
We take the relation between energy consumption and stability in the several typical traffic models such as the many neighbors interaction models (with multi-weight or multi-velocity difference)and the OV model with relative velocity into account. The energy consumption and stability in different traffic model are calculated and compared. The results show that the more stable traffic flow, the less energy consumption is. An extended multiple "look-ahead" model is presented considering multiple velocity difference ahead with non-local effect. The effect of velocity difference in car follow has been discussed by improving stability, reducing energy consumption and environment pollution.
Key words:  car-following model  multiple velocity difference  traffic flow  stability  energy consumption

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