吉林大学学报(工学版) ›› 2023, Vol. 53 ›› Issue (1): 150-158.doi: 10.13229/j.cnki.jdxbgxb20210601

• 交通运输工程·土木工程 • 上一篇    

智能网联混合交通流CO2排放影响及改善方法

秦严严1(),杨晓庆2,王昊3()   

  1. 1.重庆交通大学 交通运输学院，重庆 400074
    2.昆明市规划设计研究院有限公司，昆明 650041
    3.东南大学 交通学院，南京 210096
  • 收稿日期:2021-07-03 出版日期:2023-01-01 发布日期:2023-07-23
  • 通讯作者: 王昊 E-mail:qinyanyan@cqjtu.edu.cn;haowang@seu.edu.cn
  • 作者简介:秦严严（1989-），男，副教授，博士. 研究方向：交通流理论与应用. E-mail： qinyanyan@cqjtu.edu.cn
  • 基金资助:
    国家自然科学基金项目(52002044)

Impacts of CO2 emissions and improving method for connected and automated mixed traffic flow

Yan-yan QIN1(),Xiao-qing YANG2,Hao WANG3()   

  1. 1.School of Traffic and Transportation，Chongqing Jiaotong University，Chongqing 400074，China
    2.Kunming Urban Planning & Design Institute Co. ，Ltd. ，Kunming 650041，China
    3.School of Transportation，Southeast University，Nanjing 210096，China
  • Received:2021-07-03 Online:2023-01-01 Published:2023-07-23
  • Contact: Hao WANG E-mail:qinyanyan@cqjtu.edu.cn;haowang@seu.edu.cn

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摘要：

智能网联环境下协同自适应巡航控制（CACC）车辆和人工驾驶（MD）车辆将构成混合交通流，针对该混合交通流的CO2排放开展研究。首先，考虑智能网联环境特征，界定本文混合交通流的研究范围，并应用基于实测数据标定的跟驰模型描述混合流中各车型车辆的跟驰行为。然后，考虑周期性边界条件设计数值仿真实验，基于仿真轨迹数据，采用CO2排放模型计算混合交通流CO2排放影响。最后，从混合交通流稳定性层面考察CO2排放的影响机理，同时提出降低CO2排放的改善方法。研究结果表明：混合交通流CO2排放随着CACC渗透率p的增加呈现先上升后下降的影响趋势，且与交通流稳定性存在定性的影响关系，在本文方法下，混合交通流CO2排放将随着p值增加而逐渐下降，相比p=0时的MD车流，p=1时的CACC车流可将CO2排放降低约19.35%。研究结果可从降低CO2排放层面为智能网联混合交通流管理策略提供参考。

关键词: 交通运输规划与管理, 混合交通流, CO2排放, 跟驰模型, 协同自适应巡航控制

Abstract:

Mixed traffic flow will consist of cooperative adaptive cruise control （CACC） vehicles and manual driven （MD） vehicles under connected and automated environment. Then this paper focuses on CO2 emission of such mixed flow. Firstly， the mixed traffic flow in this paper was defined according to characteristics of connected and automated environment. Car-following behaviors of each type of vehicles in such mixed flow were described by car-following models calibrated via experimental data. Then numerical simulations were performed considering periodic boundary condition. Based on trajectory data in simulations， CO2 emission model was used to calculate impacts of CO2 emission for the mixed traffic. Finally， effect mechanism of CO2 emission was explored from the perspective of mixed flow stability. An improving method for reducing CO2 emission was also proposed. Results show that CO2 emission of such mixed flow would increase and then decrease， with the increase of CACC penetration rate p， which has qualitative relation with traffic flow stability. By using the proposed improving method based on variable headway strategy， CO2 emission of such mixed flow would decrease with the increase of p. Compared with MD vehicular flow （p=0）， CACC vehicular flow （p=1） could reduce CO2 emission by 19.35%. Results obtained in this paper can provide reference for management strategy of such mixed traffic flow， from the perspective of reducing CO2 emission.

Key words: transportation planning and management, mixed traffic flow, CO2 emissions, car-following model, cooperative adaptive cruise control

中图分类号: 

  • U491

图1

基于仿真实验的CO2排放分析流程"

表1

混合交通流CO2排放影响对比分析"

CACC

渗透率p

CO2排放降低百分比/%
tc=0.6 s， ta=1.1 stc=0.6 s， ta=1.6 stc=0.6 s， ta=2.2 stc=0.9 s， ta=1.1 stc=1.1 s， ta=1.1 s
0.0/////
0.113.1612.57-1.0412.2912.15
0.217.068.23-2.0316.3716.01
0.310.83-1.90-3.4410.4410.06
0.4-1.56-3.23-4.65-2.22-2.52
0.5-4.09-5.90-7.98-4.91-5.78
0.6-6.56-8.06-10.17-7.22-7.53
0.7-7.91-9.61-12.25-7.98-8.14
0.8-10.23-12.58-14.2-10.35-10.37
0.9-13.89-14.92-16.11-14.96-15.79
1.0-19.35-19.35-19.35-20.60-21.33

图2

ta对混合交通流CO2排放的影响（tc=0.6 s）"

图3

tc对混合交通流CO2排放的影响（ta=1.1 s）"

图4

ta对混合交通流稳定性的影响（tc=0.6 s）"

图5

tc对混合交通流稳定性的影响（ta=1.1 s）"

表2

ta与p* 的解析关系"

ta/sp*/%ta/sp*/%
1.134.521.78.19
1.231.741.80.12
1.328.491.9-
1.424.672.0-
1.520.152.1-
1.614.742.2-

图6

改善后的CO2排放影响趋势"

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