排
加速度
燃料效率
能源消耗
流量(计算机网络)
细胞自动机
环境科学
汽车工程
计算机科学
工程类
控制(管理)
计算机网络
物理
人工智能
电气工程
经典力学
算法
作者
Yan-Tao Zhang,Yuzhang Chen,Congling Shi,Mao-Bin Hu
出处
期刊:International Journal of Modern Physics C
[World Scientific]
日期:2023-04-28
卷期号:34 (10)
被引量:1
标识
DOI:10.1142/s012918312350136x
摘要
Vehicle platoons were recently proposed to reduce energy consumption and emissions. However, the majority of platooning studies have focused on pure connected automated vehicle (CAV) environments with limited insights into energy consumption and emissions. This paper quantifies fuel consumption and emissions by studying the microscopic movements of CAVs and human driving vehicles (HDVs) in mixed traffic flows. With an extended cellular automaton model, a four-lane mixed traffic flow of CAVs and HDVs is investigated in detail. The results have shown that ad hoc platoon formation can lead to frequent acceleration and lane changing, resulting in more fuel consumption and emission. With a dedicated CAV lane (DCL) strategy, the interference of CAVs and HDVs is greatly reduced, thereby improving the fuel economy and emission reduction. The findings can benefit the organization of vehicle platoons in the persisting mixed traffic flow environment.
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