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

IF 2.8 3区 工程技术 Q3 TRANSPORTATION
Meng Li , Zhibin Li , Yang Zhou , Jiaming Wu
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引用次数: 0

Abstract

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.

在混合交通环境中防止排间脱钩的协同节能卡车排间变道模型
由于在货物运输中具有能源和运营效率方面的优势,卡车编队已获得越来越多的关注。部署卡车编队所面临的一个重大挑战是如何与周围交通进行安全高效的互动,尤其是在高速公路不连续处,强制变道通常会导致卡车编队脱钩。本研究提出了一种卡车排合作变道模型(CTPLC),以防止卡车排在混合交通环境中脱钩。具体来说,本文提出了一种两步控制策略,即目标车道上的车辆首先协同调整速度,为卡车排创造适当的空隙,然后卡车排内的卡车依次进行变道。合作速度曲线是通过求解考虑变道影响和能耗的优化问题生成的。在此基础上,采用二维非线性模型预测控制(MPC)算法为每辆卡车生成车辆加速度和转向角。为了验证所提出的策略,我们进行了一系列数值模拟实验。结果表明,我们所提出的方法可以使卡车排以高效、安全的方式进行变道,同时,与基准策略相比,我们的方法更加节能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
8.80
自引率
19.40%
发文量
51
审稿时长
15 months
期刊介绍: The Journal of Intelligent Transportation Systems is devoted to scholarly research on the development, planning, management, operation and evaluation of intelligent transportation systems. Intelligent transportation systems are innovative solutions that address contemporary transportation problems. They are characterized by information, dynamic feedback and automation that allow people and goods to move efficiently. They encompass the full scope of information technologies used in transportation, including control, computation and communication, as well as the algorithms, databases, models and human interfaces. The emergence of these technologies as a new pathway for transportation is relatively new. The Journal of Intelligent Transportation Systems is especially interested in research that leads to improved planning and operation of the transportation system through the application of new technologies. The journal is particularly interested in research that adds to the scientific understanding of the impacts that intelligent transportation systems can have on accessibility, congestion, pollution, safety, security, noise, and energy and resource consumption. The journal is inter-disciplinary, and accepts work from fields of engineering, economics, planning, policy, business and management, as well as any other disciplines that contribute to the scientific understanding of intelligent transportation systems. The journal is also multi-modal, and accepts work on intelligent transportation for all forms of ground, air and water transportation. Example topics include the role of information systems in transportation, traffic flow and control, vehicle control, routing and scheduling, traveler response to dynamic information, planning for ITS innovations, evaluations of ITS field operational tests, ITS deployment experiences, automated highway systems, vehicle control systems, diffusion of ITS, and tools/software for analysis of ITS.
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