《Journal of Intelligent and Connected Vehicles》

作品数:114被引量:85H指数:6
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《Journal of Intelligent and Connected Vehicles》
主办单位:清华大学
最新期次:2024年4期更多>>
发文主题:CONNECTEDVEHICLESVEHICLEAUTOMATEDLANE更多>>
发文领域:交通运输工程机械工程自动化与计算机技术电子电信更多>>
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Advancements and prospects in multisensor fusion for autonomous driving
《Journal of Intelligent and Connected Vehicles》2024年第4期245-247,共3页Chen Tu Liang Wang Jaehyuck Lim Inhi Kim 
1 Introduction The advancement of technology has propelled autonomous driving into the public spotlight over the past decade,establishing it as a strategic focal point for technological competition among countries(Lin...
关键词:AUTONOMOUS establishing instance 
Decision making and control of autonomous vehicles under the condition of front vehicle sideslip
《Journal of Intelligent and Connected Vehicles》2024年第4期248-257,共10页Jian Chen Yunfeng Xiang Yugong Luo Keqiang Li Xiaomin Lian 
supported by the National Key R&D Program of China(Grant No.2022YFE0101000).
The behaviors of front vehicles are important factors that can influence the driving safety of autonomous vehicles on highways.This situation poses a serious threat to the security of autonomous vehicles,especially wh...
关键词:front vehicle sideslip trajectory prediction emergency obstacle avoidance trajectory planning driving characteristic vector 
Extracting networkwide road segment location, direction, and turning movement rules from global positioning system vehicle trajectory data for macrosimulation
《Journal of Intelligent and Connected Vehicles》2024年第4期258-265,共8页Adham Badran Ahmed El-Geneidy Luis Miranda-Moreno 
The emergence of road users’global positioning system(GPS)trajectory data is attracting increasing research interest in knowledge discovery to improve transport planning-related methods and tools.In fact,the widespre...
关键词:global positioning system(GPS) transport model road network intersection control map inference road direction turning movement 
Improving the representation of traffic states: A novel method for link selection of urban road networks
《Journal of Intelligent and Connected Vehicles》2024年第4期266-278,共13页Syed Muzammil Abbas Rizvi Bernhard Friedrich 
The macroscopic fundamental diagram(MFD)represents the aggregated traffic states of a road network.However,the uniqueness of an empirically estimated MFD cannot be guaranteed due to the problem of link selection.Insta...
关键词:macroscopic fundamental diagram network traffic dynamics link selection entropy weights HETEROGENEITY 
Application of the traffic fundamental diagram to assess detector performance
《Journal of Intelligent and Connected Vehicles》2024年第4期279-291,共13页Katherine Riffle Edward J.Smaglik Steven Procaccio Steven R.Gehrke Brendan J.Russo David Hurwitz 
supported by the Oregon Department of Transportation(SPR-837).
This study develops new methods for evaluating detector health via event-based outputs and existing traffic flow theory.In this work,event-based detector data outputs were used to develop empirical vehicle volume‒dens...
关键词:traffic detector detector health traffic signal signalized intersection detector malfunction 
Multisensor information fusion:Future of environmental perception in intelligent vehicles
《Journal of Intelligent and Connected Vehicles》2024年第3期163-176,共14页Yongsheng Zhang Chen Tu Kun Gao Liang Wang 
supported by the National Key R&D Program of China(Grant No.2023YFB4301804);the National Natural Science Foundation of China(Grant Nos.52220105001 and 52221005).
As urban transportation increasingly impacts daily life,efficiently utilizing traffic resources and developing public transportation have become crucial for addressing issues such as congestion,frequent accidents,and ...
关键词:intelligent vehicles environmental perception multisensor information fusion autonomous driving traffic safety 
Convergence of emerging transportation trends:A comprehensive review of shared autonomous vehicles
《Journal of Intelligent and Connected Vehicles》2024年第3期177-189,共13页Deema Almaskati Sharareh Kermanshachi Apurva Pamidimukkala 
The mobility landscape is experiencing major changes due to two emerging transportation trends,autonomous vehicles(AVs)and on-demand transportation,and the convergence of these smart mobility innovations as shared aut...
关键词:autonomous vehicles(AVs) shared autonomous vehicles(SAVs) policy autonomous mobility on-demand public transportation 
CPS architecture design for urban roadway intersections based on MBSE
《Journal of Intelligent and Connected Vehicles》2024年第3期190-204,共15页Chen Wang Xiaoping Ma Limin Jia Zheng Lai Zhexuan Yang Han Yan Jing Zhao 
supported by the National Key R&D Program of China(2021YFB2501000).
With the rapid growth of urbanization and the increasing demand for transportation, urban traffic congestion has become a hindrance to individuals’ travel experience. Urban intersections are one of the primary source...
关键词:Model-Based Systems Engineering(MBSE) urban intersection cyber-physical system architecture design System Modeling Language(SysML) 
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 
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