A Strategy for Traffic Safety of Vehicular Platoons Under Connection Loss and Time-Delay

背景(考古学) 计算机科学 工程类 理论(学习稳定性) 控制理论(社会学) 分布式计算 控制(管理) 控制工程 人工智能 生物 机器学习 古生物学
作者
Daniel Almeida Godinho,Armando Alves Neto,Leonardo Amaral Mozelli,Fernando O. Souza
出处
期刊:IEEE Transactions on Intelligent Transportation Systems [Institute of Electrical and Electronics Engineers]
卷期号:24 (6): 6627-6638 被引量:7
标识
DOI:10.1109/tits.2023.3258633
摘要

Autonomous platoons are good alternatives for cargo transportation, with many approaches to safety and efficiency issues. In the last decades, much effort has been employed in this context, with solutions ranging from low-level control laws to learning strategies. Although some papers have concentrated on methods robust to disturbances or resilient to disruptions, most of the current literature assumes that the platoon starts and remains connected all the time, even when subjecting vehicles to limited communication ranges and time-delay. Therefore, in this paper, we address the problem of connectivity maintenance and stability of platoons under the complete disconnection of vehicles. The main goal is to increase the tolerance to agent exits, external elements (such as traffic lights and human-driven vehicles), and non-ideal initial conditions, improving traffic safety in mixed traffic scenarios. By modeling the network connection as a Directed Acyclic Graph, we use a state-machine policy to recover connectivity and regulate the spacing distance to other vehicles under heterogeneous time-delays. We demonstrate that this state alteration can be interpreted as a reference tracking problem and propose a design procedure that provides stability and zero spacing error in steady-state. Our control protocol allows vehicles to reach a consensus with the team, even when they start disconnected from other ones. Results with agent-based and nonlinear simulations illustrate the effectiveness of our approach.
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
1秒前
万金油发布了新的文献求助10
1秒前
wangjue完成签到,获得积分10
2秒前
2秒前
咕咕发布了新的文献求助10
2秒前
2秒前
飞鸟我喜欢你完成签到,获得积分10
3秒前
科多发布了新的文献求助10
3秒前
卡冈图雅完成签到,获得积分10
4秒前
4秒前
4秒前
黑米粥发布了新的文献求助10
4秒前
Jasper应助ZZ_star采纳,获得10
5秒前
悠悠完成签到,获得积分10
5秒前
5秒前
tooty发布了新的文献求助10
6秒前
思源应助sjsjjj采纳,获得10
7秒前
霖爪飞扬发布了新的文献求助10
7秒前
ven发布了新的文献求助10
8秒前
9秒前
9秒前
Akim应助动听曼荷采纳,获得10
9秒前
千xi发布了新的文献求助30
9秒前
10秒前
11秒前
瀛瀛完成签到 ,获得积分10
11秒前
炒鸡蛋发布了新的文献求助10
11秒前
今后应助周周采纳,获得10
11秒前
11秒前
21完成签到 ,获得积分10
14秒前
14秒前
15秒前
耶格尔发布了新的文献求助10
15秒前
姜彦乔发布了新的文献求助10
15秒前
15秒前
16秒前
斯文败类应助wendinfgmei采纳,获得10
16秒前
16秒前
17秒前
callmefather发布了新的文献求助10
17秒前
高分求助中
【提示信息,请勿应助】请使用合适的网盘上传文件 10000
Continuum Thermodynamics and Material Modelling 2000
The Oxford Encyclopedia of the History of Modern Psychology 1500
Green Star Japan: Esperanto and the International Language Question, 1880–1945 800
Sentimental Republic: Chinese Intellectuals and the Maoist Past 800
The Martian climate revisited: atmosphere and environment of a desert planet 800
Learning to Listen, Listening to Learn 520
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3867346
求助须知:如何正确求助?哪些是违规求助? 3409665
关于积分的说明 10664562
捐赠科研通 3133927
什么是DOI,文献DOI怎么找? 1728652
邀请新用户注册赠送积分活动 833038
科研通“疑难数据库(出版商)”最低求助积分说明 780536