| 网联共享车路协同智能交通系统综述 |
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| 引用本文： | 郭戈,许阳光,徐涛,李丹丹,王云鹏,袁威. 网联共享车路协同智能交通系统综述[J]. 控制与决策, 2019, 34(11): 2375-2389 |
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| 作者姓名： | 郭戈 许阳光 徐涛 李丹丹 王云鹏 袁威 |
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| 作者单位： | 东北大学流程工业综合自动化国家重点实验室,沈阳110004;大连海事大学自动化系,辽宁大连116026;东北大学秦皇岛分校控制工程学院,河北秦皇岛066004;大连海事大学自动化系,辽宁大连,116026;东北大学秦皇岛分校控制工程学院,河北秦皇岛,066004;大连理工大学控制科学与工程学院,辽宁大连,116024 |
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| 基金项目： | 国家自然科学基金项目(61573077,U1808205). |
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| 摘 要： | 网联车辆、交通大数据、共享出行等技术给智能交通系统的发展与应用革新带来了机遇和挑战.在全面总 结共享出行系统、网联车辆协同优化控制、交通大数据分析等领域最新研究成果的基础上,系统论述智能交通技术的研究进展,特别对智能交通系统中的交通流及出行需求预测、共享出行系统车辆调度、交通网及电网联合优化、网联车辆协调控制及车-路协同控制等方面进行全面综述.分析智能交通系统存在的问题及挑战,并对其未来发展方向进行展望.
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| 关 键 词： | 智能交通 大数据 共享出行 交通预测 车辆调度 车辆协同控制 |
A survey of connected shared vehicle-road cooperative intelligent transportation systems |
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| GUO Ge,XU Yang-guang,XU Tao,LI Dan-dan,WANG Yun-peng and YUAN Wei. A survey of connected shared vehicle-road cooperative intelligent transportation systems[J]. Control and Decision, 2019, 34(11): 2375-2389 |
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| Authors: | GUO Ge XU Yang-guang XU Tao LI Dan-dan WANG Yun-peng YUAN Wei |
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| Affiliation: | State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang110004,China;Department of Automation,Dalian Maritime University,Dalian116026,China;School of Control Engineering,Northeastern University at Qinhuangdao,Qinhuangdao066004,China,Department of Automation,Dalian Maritime University,Dalian116026,China,School of Control Engineering,Northeastern University at Qinhuangdao,Qinhuangdao066004,China,Department of Automation,Dalian Maritime University,Dalian116026,China,School of Control Science and Engineering,Dalian University of Technology,Dalian 116024,China and School of Control Engineering,Northeastern University at Qinhuangdao,Qinhuangdao066004,China |
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| Abstract: | Connected vehicles, big traffic data, car-sharing and other technologies provide opportunities and challenges to the development and application innovation of intelligent transportation systems(ITS). Based on a comprehensive summary of the latest research results in the fields of car-sharing systems, collaborative optimal control of connected vehicles, traffic data analysis and so on, a systematic survey of the research progress of intelligent transportation technologies is proposed, especially, a comprehensive review is made from prespectives of traffic flow and travel demand prediction, vehicle dispatching of mobility-on-demand systems, joint optimization of transportation network and power grid, cooperative control of connected vehicles and vehicle-road collaborative control. The existing problems and challenges of ITS are summarized, showing the promising development directions for future research. |
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