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  • 韦兰香,梁玉娟,彭金松,许敏明.人工和ETC混合收费方式对车辆能耗的影响[J].广西科学院学报,2016,32(3):226-230,236.    [点击复制]
  • WEI Lanxiang,LIANG Yujuan,PENG Jinsong,XU Minming.Effect of Mixture of MTC and ETC on Engergy Loss of Vehides[J].Journal of Guangxi Academy of Sciences,2016,32(3):226-230,236.   [点击复制]
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人工和ETC混合收费方式对车辆能耗的影响
韦兰香, 梁玉娟, 彭金松, 许敏明
0
(河池学院物理与机电工程学院, 广西宜州 546300)
摘要:
[目的]为探讨高速收费站全面设置ETC通道的必要性,研究人工和ETC收费方式共存的高速公路收费站路段的车辆能耗模型。[方法]基于元胞自动机NaSch交通流模型,针对人工和ETC收费方式共存的单向单车道的收费站路段提出车辆的能耗公式,并数值模拟周期边界条件下人工收费车辆的比例系数和收费站站前减速路段的长度对车辆能耗的影响。[结果]人工收费车辆的比例系数和收费站站前减速路段的长度越大,道路上车辆的能耗值就越小,对应的流量和平均速度也越小,道路交通越拥堵。[结论]人工收费车辆的比例系数和收费站站前减速路段的长度对车辆能耗都有一定程度的影响。
关键词:  元胞自动机  人工收费方式  ETC收费方式  能耗
DOI:10.13657/j.cnki.gxkxyxb.20160826.007
投稿时间:2016-05-15
基金项目:广西高校中青年教师基础能力提升项目(KY2016LX291),河池学院重点科研课题(XJ2016ZD005)和广西高校科学技术研究重点项目(2013ZD059)资助。
Effect of Mixture of MTC and ETC on Engergy Loss of Vehides
WEI Lanxiang, LIANG Yujuan, PENG Jinsong, XU Minming
(School of Physics and Mechanical & Electrical Engineering, Hechi University, Yizhou, Guangxi, 546300, China)
Abstract:
[Objective] The energy loss model of highway vehicles was studied to explore the necessity of electronic toll collection (ETC) channel settings.[Methods] Based on cellular automata NaSch model,the formula of vehicles' energy loss in the tollbooth where MTC and ETC were mixed on the single lane was put forward. A numerical simulation was conducted under the periodic boundary condition to evaluate the energy loss of vehicles induced by the proportional coefficient of the MTC of the vehicles and the length of the deceleration road before the tollbooth.[Results] When there were higher proportion of MTC vehicles and longer deceleration road,before tollbooth,there would be smaller vehicle loss and lower traffic flow and everage speed correspondingly. Therefore, there would be heavier traffic congestion.[Conclusion] The proportion of MTC vehicles and length of deceleration road before tollbooth have certain impact to energy coss of vehicles.
Key words:  cellular automata  manual toll  electronic toll  energy loss

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