CAR-FOLLOWING

作品数：34被引量：108H指数：5
导出分析报告
相关领域：交通运输工程机械工程更多>>
相关作者：项昀王炜李烨王昊丁浩洋更多>>
相关机构：东南大学辛辛那提大学北京工业大学更多>>
相关期刊：《Communications in Theoretical Physics》《Journal of Beijing Institute of Technology》《Chinese Physics B》《Applied Mathematics and Mechanics(English Edition)》更多>>
相关基金：国家自然科学基金国家重点基础研究发展计划中国博士后科学基金福建省自然科学基金更多>>
-
在结果中检索

检索结果分析

结果分析中...
共 条 记 录，以下是1-10
全选清除导出
参考文献引证文献引用追踪
视图：
排序：
Design of energy-saving driving strategy based on proximal policy optimization considering urban transport information
《Control Theory and Technology》2025年第1期74-90,共17页Qifang Liu Dazhen Sun Haowen Chen Dongzi Li Ping Wang 
supported in part by the National Natural Science Foundation of China under Grant No.62073152;in part by the Jilin Province Science and Technology Development Plan,China under Grant No.20220201034GX.
Eco-driving has always been an ongoing topic.In urban driving conditions,traffic regulations,other vehicle behaviors,and special driving scenarios will have a major impact on the energy consumption of autonomous vehic...
关键词：Eco-driving strategy Reinforcement learning Signalized intersection CAR-FOLLOWING 
Co-optimization of energy management and eco-driving considering fuel cell degradation via improved hierarchical model predictive control
《Green Energy and Intelligent Transportation》2024年第6期1-14,共14页Caixia Liu Yong Chen Renzong Xu Haijun Ruan Cong Wang Xiaoyu Li 
funding support from the National Natural Science Foundation of China under Grant No.52202465;Hebei Provincial Natural Science Foundation for Excellent Young Scholars No.E2023202007;China Postdoctoral Science Foundation Funded Project No.2023M741452;Hebei Province Introduced Overseas Talents Funding Project No.C20220312;supported by State Key Laboratory of Reliability and Intelligence of Electrical Equipment(No.EERI_OY2022007);Hebei University of Technology,S&T Program of Hebei No.215676146H and No.225676163 GH.
An advanced eco-driving technology is widely recognized as having enormous potential to reduce the vehicle fuel consumption.However,most research on eco-driving focuses on the stability and safety for vehicle operatin...
关键词：Fuel cell hybrid electric vehicle Hierarchical model predictive control Car-following Eco-driving 
Car-following strategy of intelligent connected vehicle using extended disturbance observer adjusted by reinforcement learning
《CAAI Transactions on Intelligence Technology》2024年第2期365-373,共9页Ruidong Yan Penghui Li Hongbo Gao Jin Huang Chengbo Wang 
State Key Laboratory of Automotive Safety and Energy,Grant/Award Number:KFY2208;National Natural Science Foundation of China,Grant/Award Numbers:U2013601,U20A20225;Key Research and Development Plan of Anhui Province,Grant/Award Number:202004a05020058;the Natural Science Foundation of Hefei,China(Grant No.2021032)。
Disturbance observer-based control method has achieved good results in the carfollowing scenario of intelligent and connected vehicle(ICV).However,the gain of conventional extended disturbance observer(EDO)-based cont...
关键词：adaptive system autonomous vehicle intelligent control 
A Combined Reinforcement Learning and Model Predictive Control for Car-Following Maneuver of Autonomous Vehicles被引量：2
《Chinese Journal of Mechanical Engineering》2023年第3期315-325,共11页Liwen Wang Shuo Yang Kang Yuan Yanjun Huang Hong Chen 
Supported by National Key R&D Program of China(Grant No.2022YFB2502900);Fundamental Research Funds for the Central Universities of China,Science and Technology Commission of Shanghai Municipality of China(Grant No.21ZR1465900);Shanghai Gaofeng&Gaoyuan Project for University Academic Program Development of China.
Model predictive control is widely used in the design of autonomous driving algorithms.However,its parameters are sensitive to dynamically varying driving conditions,making it difficult to be implemented into practice...
关键词：Model predictive control Reinforcement learning Autonomous vehicles 
Multiobjective adaptive car-following control of an intelligent vehicle based on receding horizon optimization被引量：1
《Science China(Information Sciences)》2023年第4期297-298,共2页Hongbo GAO Juping ZHU Fei ZHANG Ruidong YAN Junjie ZHOU Lei JIANG Jianqiang WANG Keqiang LI 
supported in part by National Natural Science Foundation of China(Grant Nos.U20A20225,U2013601);Natural Science Foundation of Hefei,China(Grant No.2021032);Key Research and Development Plan of Anhui Province(Grant No.202004a05020058);Fundamental Research Funds for the Central Universities;Science and Technology Innovation Planning Project of Ministry of Education of China;the CAAI-Huawei Mind Spore Open Fund。
Dear editor,Vehicle control is one of the key steps of intelligent driving[1].Algorithms based on receding horizon optimization(RHO)can predict future trajectories and handle multiobjective constraint conditions;there...
关键词：HANDLE EDITOR HORIZON 
Speed planning and energy management strategy of hybrid electric vehicles in a car-following scenario被引量：1
《Control Theory and Technology》2022年第2期185-196,共12页Shengyan Hou Hong Chen Yu Zhang Jinwu Gao 
supported by the National Natural Science Foundation of China(Grant No.62111530196);and the Technology Development Program of Jilin Province(Grant No.20200501010G X).
The development of intelligent connected technology has brought opportunities and challenges to the design of energy management strategies for hybrid electric vehicles.First,to achieve car-following in a connected env...
关键词：Hybrid electric vehicle CAR-FOLLOWING Speed planning Energy management strategy 
Car-following behavior modeling driven by small data sets based on mnemonic extreme gradient boosting framework被引量：2
《Science China(Information Sciences)》2022年第6期267-268,共2页Baichuan LOU Yufang LI Xiaoding LU Zhe XU 
supported by Opening Foundation of Key Laboratory of Advanced Manufacture Technology for Automobile Parts,Ministry of Education,China(Grant No.2019KLMT05);Natural Science Foundation of Chongqing(Grant No.cstc2019jcyj-msxmX0119)。
Dear editor,In recent years,data-driven car-following models have been developed based on their ability to drill down to information in driving data and their flexibility.According to a study by Fleming et al.[1],the ...
关键词：BOOSTING EDITOR driving 
Investigation on hierarchical control for driving stability and safety of intelligent HEV during car-following and lane-change process被引量：2
《Science China(Technological Sciences)》2022年第1期53-76,共24页ZHOU YaZhou WANG RuoChen DING RenKai SHI DeHua YE Qing 
supported by the National Natural Science Foundation of China(Grant Nos.51975253 and 51905219);the Program of the Youth Natural Science Foundation of Jiangsu Province(Grant No.BK20200909);the Postdoctoral Science Foundation of China(Grant No.2020M671381);the Natural Science Research Project of Jiangsu Higher Education Institutions(Grant No.19KJB580001)。
The longitudinal and lateral coordinated control for autonomous vehicles is fundamental to achieve safe and comfortable driving performance.Aiming at this for hybrid electric vehicles(HEV)during the car-following(CF)a...
关键词：hybrid electric vehicle hierarchical control model predictive control mixed logical dynamic lane-change 
Brain-like Intelligent Decision-making Based on Basal Ganglia and Its Application in Automatic Car-following被引量：2
《Journal of Bionic Engineering》2021年第6期1439-1451,共13页Tianjun Sun Zhenhai Gao Zhiyong Chang Kehan Zhao 
supported by the National Key Research and Development Program of China(2017YFB0102601);the National Science Foundation of China(51775236).
The anthropomorphic intelligence of autonomous driving has been a research hotspot in the world.However,current studies have not been able to reveal the mechanism of drivers'natural driving behaviors.Therefore,this th...
关键词：Brain-like intelligent decision-making Dopamine in basal ganglia Reinforcement learning Longitudinal autonomous driving 
Optimal car-following control for intelligent vehicles using online road-slope approximation method被引量：2
《Science China(Information Sciences)》2021年第1期90-105,共16页Hongqing CHU Lulu GUO Hong CHEN Bingzhao GAO 
China Automobile Industry Innovation and Development Joint Fund(Grant Nos.U1664257,U1864206);National Natural Science Foundation of China(Grant No.61903153);Postdoctoral Science Foundation of China(Grant No.2018M641779)。
The design of a car-following control system is a multiobjective optimization problem that involves issues in rider safety,ride comfort,and fuel economy.This study proposes a hierarchical design of optimal car-followi...
关键词：car-following control road-slope approximation hierarchical design linear quadratic regulator intelligent vehicle 
全选清除导出
共4页<1234>
检索报告 对象比较 聚类工具 使用帮助 返回顶部