A cooperative energy efficient truck platoon lane-changing model preventing platoon decoupling in a mixed traffic environment

解耦(概率) 卡车 汽车工程 工程类 运输工程 计算机科学 控制工程 控制(管理) 人工智能
作者
Meng Li,Zhibin Li,Yang Zhou,Jiaming Wu
出处
期刊:Journal of Intelligent Transportation Systems [Informa]
卷期号:28 (2): 174-188 被引量:21
标识
DOI:10.1080/15472450.2022.2119386
摘要

Truck platooning has gained increasing attention due to the benefits in energy and operation efficiency in freight transportation. One significant challenge for deploying truck platoons is the safe and efficient interaction with surrounding traffic, especially at freeway discontinuities where mandatory lane changes usually lead to the decoupling of truck platoons. This study proposes a cooperative truck platoon lane-changing model (CTPLC) to prevent the decoupling of truck platoons in a mixed traffic environment. Specifically, a two-step control strategy is presented, where vehicles in the target lane firstly cooperatively adjust speeds to create an appropriate gap for a truck platoon, and then trucks within the truck platoon conduct lane change sequentially. The cooperative speed profiles are generated by solving an optimization problem considering the lane-changing influence and energy consumption. Based on that, a two-dimensional nonlinear model predictive control (MPC) algorithm is employed to generate vehicular acceleration and steering angle for each truck. A series of numerical simulation experiments were conducted to validate the proposed strategy. As shown by the results, our proposed method truck platoon could conduct a lane change in a traffic-efficient and safe manner, and meanwhile, our method was more energy-efficient than a benchmark strategy.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
古月发布了新的文献求助10
1秒前
2秒前
2秒前
一个果儿应助好运丫丫耶采纳,获得30
3秒前
3秒前
4秒前
马儿饿了要吃草完成签到,获得积分10
4秒前
newplayer完成签到,获得积分10
6秒前
小小发布了新的文献求助10
7秒前
7秒前
科研通AI6.1应助清风采纳,获得30
8秒前
8秒前
万能图书馆应助yu采纳,获得10
8秒前
wjwww发布了新的文献求助30
9秒前
南木发布了新的文献求助10
9秒前
好运丫丫耶完成签到,获得积分10
10秒前
11秒前
12秒前
小小完成签到,获得积分10
12秒前
yxf完成签到,获得积分10
13秒前
13秒前
近代发布了新的文献求助10
14秒前
英勇的电话完成签到,获得积分10
14秒前
14秒前
14秒前
15秒前
Tullips完成签到 ,获得积分10
15秒前
李爱国应助田园采纳,获得10
15秒前
寻凝发布了新的文献求助10
15秒前
晨星发布了新的文献求助10
16秒前
17秒前
533发布了新的文献求助10
19秒前
20秒前
江上完成签到 ,获得积分10
20秒前
心灵美的尔琴完成签到,获得积分10
21秒前
23秒前
轮回1奇点完成签到,获得积分10
23秒前
24秒前
wjwww发布了新的文献求助10
24秒前
yizhixiyou发布了新的文献求助10
24秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Modern Epidemiology, Fourth Edition 5000
Digital Twins of Advanced Materials Processing 2000
Weaponeering, Fourth Edition – Two Volume SET 2000
Polymorphism and polytypism in crystals 1000
Social Cognition: Understanding People and Events 800
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6025410
求助须知:如何正确求助?哪些是违规求助? 7662675
关于积分的说明 16179208
捐赠科研通 5173549
什么是DOI,文献DOI怎么找? 2768262
邀请新用户注册赠送积分活动 1751639
关于科研通互助平台的介绍 1637724