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CACC车辆跟驰建模及混合交通流分析 被引量:26

Car-following Modeling for CACC Vehicles and Mixed Traffic Flow Analysis
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摘要 建立协同自适应巡航控制(Cooperative Adaptive Cruise Control,CACC)车辆跟驰模型,并分析不同CACC比例下的混合交通流通行能力,尾部碰撞安全及交通排放.考虑车辆期望车头间距随速度动态变化的交通流特性,建立基于非线性动态车头间距策略的CACC跟驰模型,推导不同CACC比例下的混合交通流基本图模型,分析CACC提高通行能力的交通流运行机理.设计高速公路上匝道瓶颈数值仿真实验,评估不同CACC比例下的车辆尾部碰撞安全隐患,以及油耗、CO、HC、NOx的排放.研究结果表明,本文建立的CACC模型能够在交通流速度基本不变的情况下,以较高的交通流密度显著提升通行能力,同时有利于车辆尾部碰撞安全风险及交通排放的降低. A Car-following model of cooperative adaptive cruise control(CACC) vehicles is built. At the same time, capacity, rear-end collision safety, and traffic emissions of the mixed traffic flow are also analyzed under different CACC proportions. By considering the traffic flow characteristics that desired headways of vehicles change dynamically with respect to speeds, the non-linear dynamic headway policy based CACC model is presented. Then, the fundamental diagram model of the mixed traffic flow is derived under different CACC proportions, in order to analyze traffic flow operation mechanism which improves capacity. Numerical simulations are designed near bottleneck of the freeway with an on-ramp, based on which rear-end collision risk, fuel consumption, CO, HC, and NOxare evaluated. Research results show that the presented CACC model can have high traffic flow density to improve capacity obviously for the case in which speeds are basically not changed.Moreover, CACC benefits the decrease of rear-end collision risks and traffic emissions.
作者 秦严严 王昊 冉斌 QIN Yan-yan1,2,3,4, WANG Hao1,2,3, RAN Bin1,4(1. Jiangsu Key Laboratory of Urban ITS, 2. Jiangsu Province Collaborative Innovation Center of Modem Urban Traffic Technologies, 3. School of Transportation, Southeast University, Nanjing 210096, China; 4. Department of Civil and Environment Engineering, University of Wisconsin Madison, Madison 53706, US)
出处 《交通运输系统工程与信息》 EI CSCD 北大核心 2018年第2期60-65,共6页 Journal of Transportation Systems Engineering and Information Technology
基金 国家自然科学基金(51478113) 国家重点研发计划子课题(2016YFB0100906) 中央高校基本科研业务费专项资金资助 江苏省研究生科研与实践创新计划项目(KYCX17_0146)~~
关键词 交通工程 跟驰模型 数值仿真 协同自适应巡航控制 traffic engineering car-following model numerical simulation cooperative adaptive cruise control
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  • 1张智勇,荣建,任福田.跟车模型研究综述[J].公路交通科技,2004,21(8):108-113. 被引量:31
  • 2李才伟,吴金平.岩石中结晶颗粒竞争性生长的随机元胞自动机模拟[J].地球科学(中国地质大学学报),1996,21(6):593-596. 被引量:8
  • 3HUANG S, REN W, CHAN S C. Design and performance evaluation of mixed manual and automated control traffic[J]. Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on, 2000, 30(6): 661-673. 被引量:1
  • 4BOSE A, IOANNOU P. Analysis of traffic flow with mixed manual and semi-automated vehicles[C]// American Control Conference, 1999. Proceedings of the 1999. IEEE, 1999, 3: 2173-2177. 被引量:1
  • 5BOSE A, IOANNOU P. Mixed manual/semi-automated traffic: a macroscopic analysis[J]. Transportation Research Part C: Emerging Technologies, 2003, 11(6): 439-462. 被引量:1
  • 6GIPPS P G. A behavioural car-following model for computer simulation[J]. Transportation Research Part B: Methodological, 1981, 15(2): 105-111. 被引量:1
  • 7CIUFFO B, PUNZO V, MONTANINO M. Thirty years of Gipps" cal-following model[J]. Transportation Research Record: Journal of the Transportation Research Board, 2012, 2315(1): 89-99. 被引量:1
  • 8PANWAI S, DIA H. Comparative evaluation of microscopic car-tbllowing behavior[J]. Intelligent Transportation Systems, IEEE Transactions on, 2005, 6 (3): 314-325. 被引量:1
  • 9RANJITKAR P, NAKATSUJI T, ASANO M. Performance evaluation of microscopic traffic flow models with test track data[J]. Transportation Research Record: Journal of the Transportation Research Board, 2004, 1876(1): 90-100. 被引量:1
  • 10BERNSDORF J, DURST F, SCH)FER M. Comparison of cellular automata and finite volume techniques for simulation of incompressible flows in complex geometries[J]. International Journal for Numerical Methods in Fluids, 1999, 29(3): 251-264. 被引量:1

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