Cooperative Adaptive Cruise Control for Connected Autonomous Vehicles Using Spring Damping Energy Model. Xie, S., Hu, J., Ding, Z., & Arvin, F. IEEE Transactions on Vehicular Technology, 72(3):2974–2987, March, 2023. Conference Name: IEEE Transactions on Vehicular Technologydoi abstract bibtex Cooperative adaptive cruise control (CACC) has been widely considered as a potential solution for reducing traffic congestion, increasing road capacity, reducing fossil fuel consumption and improving traffic safety. Traditional CCAC methods rely heavily on the vehicle-to-vehicle communications to achieve cooperation. However, in the real-world scenarios, unreliable communication will degrade CACC to adaptive cruise control, which may bring negative influences on safety (i.e., increase the risk of collisions). To overcome this drawback, this paper innovatively applies a spring damping energy model to construct a robust autonomous vehicle platoon system. The proposed design of the energy model ensures that the stability and safety of the platoon system be maintained in the event of such sudden degradation. Based on this technique, a distributed control protocol which only utilizes local information from neighbors is then proposed. Furthermore, some practical constraints such as the connectivity of the vehicle platoon system and the bound of the control inputs are guaranteed. Finally, the effectiveness of the proposed CCAC strategy is validated by multiple simulation experiments in Unreal Engine. 【摘要翻译】合作自适应巡航控制（CACC）已被广泛认为是减少交通拥堵，增加道路容量，降低化石燃料消耗并提高交通安全性的潜在解决方案。传统的CCAC方法在很大程度上依赖车辆到车辆通信来实现合作。但是，在现实世界中，不可靠的沟通会降低CACC以适应巡航控制，这可能会对安全产生负面影响（即增加碰撞风险）。为了克服这一缺点，本文创新地应用了弹簧阻尼能模型来构建强大的自动驾驶汽车排系统。所提出的能量模型的设计确保在这种突然降解时保持排系统的稳定性和安全性。基于此技术，提出了仅利用邻居本地信息的分布式控制协议。此外，保证了一些实用的约束，例如车辆排系统的连通性和控制输入的界限。最后，提出的CCAC策略的有效性通过虚幻引擎中的多个模拟实验验证。
@article{xie_cooperative_2023,
title = {Cooperative {Adaptive} {Cruise} {Control} for {Connected} {Autonomous} {Vehicles} {Using} {Spring} {Damping} {Energy} {Model}},
volume = {72},
issn = {1939-9359},
shorttitle = {使用弹簧阻尼能量模型的连接自动驾驶汽车的合作自适 应巡航控制},
doi = {10.1109/TVT.2022.3218575},
abstract = {Cooperative adaptive cruise control (CACC) has been widely considered as a potential solution for reducing traffic congestion, increasing road capacity, reducing fossil fuel consumption and improving traffic safety. Traditional CCAC methods rely heavily on the vehicle-to-vehicle communications to achieve cooperation. However, in the real-world scenarios, unreliable communication will degrade CACC to adaptive cruise control, which may bring negative influences on safety (i.e., increase the risk of collisions). To overcome this drawback, this paper innovatively applies a spring damping energy model to construct a robust autonomous vehicle platoon system. The proposed design of the energy model ensures that the stability and safety of the platoon system be maintained in the event of such sudden degradation. Based on this technique, a distributed control protocol which only utilizes local information from neighbors is then proposed. Furthermore, some practical constraints such as the connectivity of the vehicle platoon system and the bound of the control inputs are guaranteed. Finally, the effectiveness of the proposed CCAC strategy is validated by multiple simulation experiments in Unreal Engine.
【摘要翻译】合作自适应巡航控制（CACC）已被广泛认为是减少交通拥堵，增加道路容量，降低化石燃料消耗并提高交通安全性的潜在解决方案。传统的CCAC方法在很大程度上依赖车辆到车辆通信来实现合作。但是，在现实世界中，不可靠的沟通会降低CACC以适应巡航控制，这可能会对安全产生负面影响（即增加碰撞风险）。为了克服这一缺点，本文创新地应用了弹簧阻尼能模型来构建强大的自动驾驶汽车排系统。所提出的能量模型的设计确保在这种突然降解时保持排系统的稳定性和安全性。基于此技术，提出了仅利用邻居本地信息的分布式控制协议。此外，保证了一些实用的约束，例如车辆排系统的连通性和控制输入的界限。最后，提出的CCAC策略的有效性通过虚幻引擎中的多个模拟实验验证。},
number = {3},
journal = {IEEE Transactions on Vehicular Technology},
author = {Xie, Songtao and Hu, Junyan and Ding, Zhengtao and Arvin, Farshad},
month = mar,
year = {2023},
note = {Conference Name: IEEE Transactions on Vehicular Technology},
keywords = {/unread, Autonomous vehicles, Cruise control, Protocols, Springs, Thermal stability, Topology, Vehicle dynamics, Vehicular ad hoc networks, cooperative adaptive cruise control, distributed multi-vehicle systems, spring damping energy model, vehicle-to-vehicle communication},
pages = {2974--2987},
}
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However, in the real-world scenarios, unreliable communication will degrade CACC to adaptive cruise control, which may bring negative influences on safety (i.e., increase the risk of collisions). To overcome this drawback, this paper innovatively applies a spring damping energy model to construct a robust autonomous vehicle platoon system. The proposed design of the energy model ensures that the stability and safety of the platoon system be maintained in the event of such sudden degradation. Based on this technique, a distributed control protocol which only utilizes local information from neighbors is then proposed. Furthermore, some practical constraints such as the connectivity of the vehicle platoon system and the bound of the control inputs are guaranteed. Finally, the effectiveness of the proposed CCAC strategy is validated by multiple simulation experiments in Unreal Engine. 【摘要翻译】合作自适应巡航控制（CACC）已被广泛认为是减少交通拥堵，增加道路容量，降低化石燃料消耗并提高交通安全性的潜在解决方案。传统的CCAC方法在很大程度上依赖车辆到车辆通信来实现合作。但是，在现实世界中，不可靠的沟通会降低CACC以适应巡航控制，这可能会对安全产生负面影响（即增加碰撞风险）。为了克服这一缺点，本文创新地应用了弹簧阻尼能模型来构建强大的自动驾驶汽车排系统。所提出的能量模型的设计确保在这种突然降解时保持排系统的稳定性和安全性。基于此技术，提出了仅利用邻居本地信息的分布式控制协议。此外，保证了一些实用的约束，例如车辆排系统的连通性和控制输入的界限。最后，提出的CCAC策略的有效性通过虚幻引擎中的多个模拟实验验证。","number":"3","journal":"IEEE Transactions on Vehicular Technology","author":[{"propositions":[],"lastnames":["Xie"],"firstnames":["Songtao"],"suffixes":[]},{"propositions":[],"lastnames":["Hu"],"firstnames":["Junyan"],"suffixes":[]},{"propositions":[],"lastnames":["Ding"],"firstnames":["Zhengtao"],"suffixes":[]},{"propositions":[],"lastnames":["Arvin"],"firstnames":["Farshad"],"suffixes":[]}],"month":"March","year":"2023","note":"Conference Name: IEEE Transactions on Vehicular Technology","keywords":"/unread, Autonomous vehicles, Cruise control, Protocols, Springs, Thermal stability, Topology, Vehicle dynamics, Vehicular ad hoc networks, cooperative adaptive cruise control, distributed multi-vehicle systems, spring damping energy model, vehicle-to-vehicle communication","pages":"2974–2987","bibtex":"@article{xie_cooperative_2023,\n\ttitle = {Cooperative {Adaptive} {Cruise} {Control} for {Connected} {Autonomous} {Vehicles} {Using} {Spring} {Damping} {Energy} {Model}},\n\tvolume = {72},\n\tissn = {1939-9359},\n\tshorttitle = {使用弹簧阻尼能量模型的连接自动驾驶汽车的合作自适 应巡航控制},\n\tdoi = {10.1109/TVT.2022.3218575},\n\tabstract = {Cooperative adaptive cruise control (CACC) has been widely considered as a potential solution for reducing traffic congestion, increasing road capacity, reducing fossil fuel consumption and improving traffic safety. 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Finally, the effectiveness of the proposed CCAC strategy is validated by multiple simulation experiments in Unreal Engine.\n\n【摘要翻译】合作自适应巡航控制（CACC）已被广泛认为是减少交通拥堵，增加道路容量，降低化石燃料消耗并提高交通安全性的潜在解决方案。传统的CCAC方法在很大程度上依赖车辆到车辆通信来实现合作。但是，在现实世界中，不可靠的沟通会降低CACC以适应巡航控制，这可能会对安全产生负面影响（即增加碰撞风险）。为了克服这一缺点，本文创新地应用了弹簧阻尼能模型来构建强大的自动驾驶汽车排系统。所提出的能量模型的设计确保在这种突然降解时保持排系统的稳定性和安全性。基于此技术，提出了仅利用邻居本地信息的分布式控制协议。此外，保证了一些实用的约束，例如车辆排系统的连通性和控制输入的界限。最后，提出的CCAC策略的有效性通过虚幻引擎中的多个模拟实验验证。},\n\tnumber = {3},\n\tjournal = {IEEE Transactions on Vehicular Technology},\n\tauthor = {Xie, Songtao and Hu, Junyan and Ding, Zhengtao and Arvin, Farshad},\n\tmonth = mar,\n\tyear = {2023},\n\tnote = {Conference Name: IEEE Transactions on Vehicular Technology},\n\tkeywords = {/unread, Autonomous vehicles, Cruise control, Protocols, Springs, Thermal stability, Topology, Vehicle dynamics, Vehicular ad hoc networks, cooperative adaptive cruise control, distributed multi-vehicle systems, spring damping energy model, vehicle-to-vehicle communication},\n\tpages = {2974--2987},\n}\n\n","author_short":["Xie, S.","Hu, J.","Ding, Z.","Arvin, F."],"key":"xie_cooperative_2023","id":"xie_cooperative_2023","bibbaseid":"xie-hu-ding-arvin-cooperativeadaptivecruisecontrolforconnectedautonomousvehiclesusingspringdampingenergymodel-2023","role":"author","urls":{},"keyword":["/unread","Autonomous vehicles","Cruise control","Protocols","Springs","Thermal stability","Topology","Vehicle dynamics","Vehicular ad hoc networks","cooperative adaptive cruise control","distributed multi-vehicle systems","spring damping energy model","vehicle-to-vehicle communication"],"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://bibbase.org/zotero/_MingYAN_","dataSources":["7bvyz9GrWb3E3F8y3"],"keywords":["/unread","autonomous vehicles","cruise control","protocols","springs","thermal stability","topology","vehicle dynamics","vehicular ad hoc networks","cooperative adaptive cruise control","distributed multi-vehicle systems","spring damping energy model","vehicle-to-vehicle communication"],"search_terms":["cooperative","adaptive","cruise","control","connected","autonomous","vehicles","using","spring","damping","energy","model","xie","hu","ding","arvin"],"title":"Cooperative Adaptive Cruise Control for Connected Autonomous Vehicles Using Spring Damping Energy Model","year":2023}