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中南大学学报(自然科学版)

Journal of Central South University

第49卷    第11期    总第291期    2018年11月

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文章编号:1672-7207(2018)11-2894-07
车联网环境下巡航控制系统对交通流油耗的影响
秦严严1, 2, 3, 4,王昊1, 2, 3,陈全1, 2, 3,冉斌3, 4

(1. 城市智能交通江苏省重点实验室,江苏 南京,210096;
2. 现代城市交通技术江苏高校协同创新中心,江苏 南京,210096;
3. 东南大学 交通学院,江苏 南京,210096;
4. 威斯康星大学麦迪逊分校 土木与环境工程系,威斯康星州 麦迪逊,53706
)

摘 要: 为研究未来车联网环境下联网巡航控制(CCC)系统对交通流油耗的影响,选取Helly跟驰模型作为手动驾驶车辆跟驰模型,基于CCC车辆跟驰特性,构建多前车反馈的CCC跟驰模型;推导CCC系统的扰动传递函数,计算CCC系统关于反馈系数与平衡态速度的稳定域;针对高速公路上匝道瓶颈,考虑CCC车辆与手动驾驶车辆混合行驶中的随机性,在不同的主路需求与匝道需求情况下设计数值仿真实验,评估CCC车辆对交通流油耗的影响。研究结果表明:当CCC系统稳定时,CCC车辆有利于降低交通流油耗,当CCC车辆比例达到约60%时,油耗降低速度较快,相比于传统手动车辆交通流,CCC车辆交通流油耗降低约35%以上;当CCC系统不稳定时,交通流油耗降低率小于3.59%;CCC系统稳定域能够影响交通流油耗降低。

 

关键词: 交通流;油耗;联网巡航控制;跟驰模型;车联网

Impacts of connected cruise control systems on traffic flow fuel consumption in internet of vehicles environment
QIN Yanyan1, 2, 3, 4, WANG Hao1, 2, 3, CHEN Quan1, 2, 3, RAN Bin3, 4

1. Jiangsu Key Laboratory of Urban Intelligent Transportation System, Nanjing 210096, China;
2. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 210096, China;
3. School of Transportation, Southeast University, Nanjing 210096, China;
4. Department of Civil and Environment Engineering, University of Wisconsin-Madison, Madison 53706, USA

Abstract:In order to study the impacts of connected cruise control (CCC) systems on traffic flow fuel consumption of traffic flow in the future internet of vehicles environment, the Helly model was selected as the car-following model of manual driven vehicles. Based on the car-following characteristics of CCC vehicles, a CCC car-following model was built considering multiple preceeding feedbacks. The transfer function of perturbations of CCC systems was deduced. Then, the stability region about feedback coefficient and equilibrium velocity was calculated for CCC systems. The bottleneck of highway with an on-ramp was selected for numerical simulations. The simulation experiments were designed under different demands of both main road and ramp, taking the randomness in the mixed driving with CCC vehicles and manual driven vehicles into consideration. The impact of CCC vehicles on fuel consumption was evaluated. The results show that CCC vehicles can reduce the fuel consumption when the CCC system is stable. The reduction speed of fuel consumption becomes faster when CCC vehicle proportion reaches to 60%. The traffic flow with CCC vehicles can reduce fuel consumption by more than 35%, compared with that of traditional manual driven vehicles. However, the reduction of the fuel consumption is less than 3.59% if the CCC system is unstable. The reduction of fuel consumption is influenced by the stability region of the CCC system.

 

Key words: traffic flow; fuel consumption; connected cruise control; car-following model; internet of vehicles

中南大学学报(自然科学版)
  ISSN 1672-7207
CN 43-1426/N
ZDXZAC
中南大学学报(英文版)
  ISSN 2095-2899
CN 43-1516/TB
JCSTFT
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