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作 者:Jinyong Gao Juncheng Zeng Xinyuan Wang Cheng Zhou Hailin Zhang Jintao Lai
机构地区:[1]Fujian Express way Group Co.,Ltd,Fuzhou 350000,Fujian,China [2]Fujian Express way Science&Technology Innovation Research Institute Co.,Ltd,Fuzhou 350000,Fujian,China [3]Beijing Baidu Netcom Science Technology Co.,Ltd,Beijing 100000,China [4]Key Laboratory of Road and Traffic Engineering of the Ministry of Education,Tongji University,Shanghai 201804,China
出 处:《Transportation Safety and Environment》2024年第2期87-95,共9页交通安全与环境(英文)
基 金:supported by the National Key R&D Pro-gram of China(Grant No.2022YFF0604905);the National Natural Science Foundation of China(Grant No.52072264);the Zhengzhou Major Science and Technology Project(Grant No.2021KJZX0060-9);the Shanghai Automotive Industry Science and Technology De-velopment Foundation(Grant No.2213);the Tongji Zhongte Chair Professor Foundation(Grant No.000000375-2018082).
摘 要:Tunnels on freeways,as one of the critical bottlenecks,frequently cause severe congestion and passenger delay.To solve the tunnel bottleneck problem,most of the existing research can be divided into two types.One is to adopt variable speed limits(VSLs)to regulate a predetermined speed for vehicles to get through a bottleneck smoothly.The other is to adopt high-occupancy vehicle(HOV)lane management.In HOV lane management strategies,all traffic is divided into HOVs and low-occupancy vehicles(LOVs).HOVs are vehicles with a driver and one or more passengers.LOVs are vehicles with only a driver.This kind of research can grant priority to HOVs by providing a dedicated HOV lane.However,the existing research cannot both mitigate congestion and maximize passenger-oriented benefits.To address the research gap,this paper leverages connected and automated vehicle(CAV)technologies on intelligent freeways and develops a tunnel bottleneck management strategy with a dynamic HOV lane(DHL).The strategy bears the following features:1)enables tunnel bottleneck management at a microscopic level;2)maximizes passenger-oriented benefits;3)grants priority to HOVs even when the HOV lane is open to LOVs;4)allocates right-of-way segments for HOVs and LOVs in real time;and 5)performs well in a mixed-traffic environment.The proposed strategy is evaluated through comparison against the non-control baseline and a VSL strategy.Sensitivity analysis is conducted under different congestion levels and penetration rates.The results demonstrate that the proposed strategy outperforms in terms of passenger-oriented delay reduction and HOVs’priority level improvement.
关 键 词:tunnel bottleneck high-occupancy vehicle(HOV) intelligent freeways right-of-way segment
分 类 号:U491.31[交通运输工程—交通运输规划与管理]
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