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作品数：334被引量：428H指数：8
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  • 期刊=Journal of Intelligent and Connected Vehiclesx
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Spectrum quantification-based safety efficiency evaluation of autonomous vehicle under random cut-in scenarios
《Journal of Intelligent and Connected Vehicles》2024年第3期205-218,共14页Jiang Chen Weiwei Zhang Miao Liu Xiaolan Wang Jun Gong Jun Li Boqi Li Jiejie Xu 
the National Key R&D Program of China(Grant No.2021YFB1600403);the National Natural Science Foundation of China(Grant Nos.51805312 and 52172388).
Continuous-scale trusted safety efficiency evaluation is crucial for the agile development and robust validation of autonomous vehicle intelligence.While the UN R157 Regulation evaluates automated lane-keeping system(...
关键词：safety efficiency evaluation automated lane-keeping system(ALKS) cut-in scenario frequency quantify 
Coordinated optimization of signal timing for intersections with dynamic shared through-and right-turn lanes
《Journal of Intelligent and Connected Vehicles》2024年第3期219-228,共10页Zhe Zheng Jian Yuan Kun An Nan Zheng Wanjing Ma 
supported by the National Natural Science Foundation of China(Nos.52325210,52131204,and 52302411);the Shanghai Science and Technology Innovation Action Plan Project(No.19DZ1209004);the Fundamental Research Funds for the Central Universities(No.22120220137).
Through and right-turn shared lanes are widely designed to increase the capacity of through traffic,but they can also cause delays for right-turn vehicles.This study presents a dynamic control method for a shared lane...
关键词：traffic control dynamic lane right-turn traffic optimization model 
Social relation and physical lane aggregator:integrating social and physical features for multimodal motion prediction被引量：2
《Journal of Intelligent and Connected Vehicles》2022年第3期302-308,共7页Qiyuan Chen Zebing Wei Xiao Wang Lingxi Li Yisheng Lv 
Chinese Guangdong’s S&T project 2019B1515120030;National Natural Science Foundation of China under Grant 61876011.
Purpose–The purpose of this paper aims to model interaction relationship of traffic agents for motion prediction,which is critical for autonomous driving.It is obvious that traffic agents’trajectories are influenced...
关键词：Deep learning Machine learning Autonomous driving Trajectory prediction 
Traffic signal coordination control for arterials with dedicated CAV lanes被引量：2
《Journal of Intelligent and Connected Vehicles》2022年第2期72-87,共16页Liang Xu Sheng Jin Bolin Li Jiaming Wu 
supported by“Pioneer”and“Leading Goose”R&D Program of Zhejiang(2022C01042),and Alibaba-Zhejiang University Joint Research Institute of Frontier Technologies.
Purpose–This study aims to make full use of the advantages of connected and autonomous vehicles(CAVs)and dedicated CAV lanes to ensure all CAVs can pass intersections without stopping.Design/methodology/approach–The...
关键词：Connected and automated vehicles Dedicated lane Arterial signal coordination 
Active lane management for intelligent connected vehicles in weaving areas of urban expressway被引量：1
《Journal of Intelligent and Connected Vehicles》2021年第2期52-67,共16页Haijian Li Junjie Zhang Zihan Zhang Zhufei Huang 
Purpose–This paper aims to use activefine lane management methods to solve the problem of congestion in a weaving area and provide theoretical and technical support for traffic control under the environment of intellig...
关键词：Active-lane management Intelligent connected vehicles Lane-changing behavior Urban expressway Weaving area 
Lane-change path planning and control method for self-driving articulated trucks被引量：2
《Journal of Intelligent and Connected Vehicles》2020年第2期49-66,共18页Tao Peng Xingliang Liu Rui Fang Ronghui Zhang Yanwei Pang Tao Wang Yike Tong 
Purpose–This study aims to develop an automatic lane-change mechanism on highways for self-driving articulated trucks to improve traffic safety.Design/methodology/approach–The authors proposed a novel safety lane-cha...
关键词：Feedback linearization Combined controller Double Gaussian distribution Lane-change path planning Preview optimization Self-driving articulated truck 
Research on the classification for road traffic visibility based on the characteristics of driving behaviour–a driving simulator experiment
《Journal of Intelligent and Connected Vehicles》2020年第1期30-36,共7页Kun Wang Weihua Zhang Zhongxiang Feng Cheng Wang 
supported by the National Natural Science Foundation of China[grant No.51878207,51678211,51578236,71971073].
Purpose–The purpose of this paper is to performfine classification of road traffic visibility based on the characteristics of driving behavior under different visibility conditions.Design/methodology/approach–A driving...
关键词：SPEED Driving simulator experiment Lane position Low visibility Traffic safety 
Effects of feature selection on lane-change maneuver recognition:an analysis of naturalistic driving data被引量：1
《Journal of Intelligent and Connected Vehicles》2018年第3期85-98,共14页Xiaohan Li Wenshuo Wang Zhang Zhang Matthias Rötting 
Purpose–Feature selection is crucial for machine learning to recognize lane-change(LC)maneuver as there exist a large number of feature candidates.Blindly using feature could take up large storage and excessive compu...
关键词：Feature selection Machine learning Effect size Lane-change maneuvers Naturalistic driving data 
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