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作 者:Yunpeng WANG Ge GUO Wei YUE
机构地区:[1]School of Control Science and Engineering,Dalian University of Technology,Dalian 116024,China [2]State Key Laboratory of Synthetical Automation for Process Industries,Northeastern University,Shenyang 10004,China [3]School of Control Engineering,Northeastern University at Qinhuangdao,Qimhusangdao 066004,China [4]School of Marine Electrical Engineering,Daliean Marilime University,Dalian 116026,China
出 处:《Science China(Information Sciences)》2021年第4期222-224,共3页中国科学(信息科学)(英文版)
基 金:supported by National Natural Science Foundation of China (Grant Nos. 61273107,61573077);in part by National Key R&D Program of China(Grant No. 2017YFA0700300)。
摘 要:Dear editor,Traffic jams have become an important issue in urban networks, particularly for arterial roads [1]. The need for more efficient traffic control techniques has become critical. One good solution is the so-called intelligent vehicleinfrastructure cooperation systems (i-VICS), which assumes autonomous vehicles in the traffic flow (i.e., a mixed traffic flow). The aim of i-VICS is to achieve cooperative vehicle intersection control, i.e., to enable cooperation between vehicles and traffic signals, for safe and efficient intersection operations.
关 键 词:INTERSECTION ESTIMATION VICS
分 类 号:U463.6[机械工程—车辆工程] U495[交通运输工程—载运工具运用工程]
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