Longitudinal control of connected and automated vehicles among signalized intersections in mixed traffic flow with deep reinforcement learning approach
出版年份 2023 全文链接
标题
Longitudinal control of connected and automated vehicles among signalized intersections in mixed traffic flow with deep reinforcement learning approach
作者
关键词
-
出版物
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 629, Issue -, Pages 129189
出版商
Elsevier BV
发表日期
2023-09-08
DOI
10.1016/j.physa.2023.129189
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Physics-informed deep reinforcement learning-based integrated two-dimensional car-following control strategy for connected automated vehicles
- (2023) Haotian Shi et al. KNOWLEDGE-BASED SYSTEMS
- Joint Optimization of Sensing, Decision-making and Motion-controlling for Autonomous Vehicles: A Deep Reinforcement Learning Approach
- (2022) Longquan Chen et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
- Deep reinforcement learning and reward shaping based eco-driving control for automated HEVs among signalized intersections
- (2022) Jie Li et al. ENERGY
- Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles
- (2021) Sikai Chen et al. COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
- Lane-change-aware connected automated vehicle trajectory optimization at a signalized intersection with multi-lane roads
- (2021) Handong Yao et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Trajectory planning for connected and automated vehicles at isolated signalized intersections under mixed traffic environment
- (2021) Chengyuan Ma et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Space-weighted information fusion using deep reinforcement learning: The context of tactical control of lane-changing autonomous vehicles and connectivity range assessment
- (2021) Jiqian Dong et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment
- (2021) Haotian Shi et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Analyzing the impact of automated vehicles on uncertainty and stability of the mixed traffic flow
- (2020) Fangfang Zheng et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Stability Analysis of Stochastic Linear Car-Following Models
- (2020) Yu Wang et al. TRANSPORTATION SCIENCE
- Trajectory optimization of connected and autonomous vehicles at a multilane freeway merging area
- (2019) Xiangwang Hu et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Distributed model predictive control approach for cooperative car-following with guaranteed local and string stability
- (2019) Yang Zhou et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Automated vehicle’s behavior decision making using deep reinforcement learning and high-fidelity simulation environment
- (2019) Yingjun Ye et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Development of an Efficient Driving Strategy for Connected and Automated Vehicles at Signalized Intersections: A Reinforcement Learning Approach
- (2019) Mofan Zhou et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- A Dynamic Predictive Traffic Signal Control Framework in a Cross-Sectional Vehicle Infrastructure Integration Environment
- (2019) Zhihong Yao et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Cooperative Method of Traffic Signal Optimization and Speed Control of Connected Vehicles at Isolated Intersections
- (2018) Biao Xu et al. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
- Cooperative platoon control for a mixed traffic flow including human drive vehicles and connected and autonomous vehicles
- (2018) Siyuan Gong et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Joint optimization of vehicle trajectories and intersection controllers with connected automated vehicles: Combined dynamic programming and shooting heuristic approach
- (2018) Yi Guo et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Policy invariance under reward transformations for multi-objective reinforcement learning
- (2017) Patrick Mannion et al. NEUROCOMPUTING
- Parsimonious shooting heuristic for trajectory design of connected automated traffic part I: Theoretical analysis with generalized time geography
- (2017) Fang Zhou et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Parsimonious shooting heuristic for trajectory design of connected automated traffic part II: Computational issues and optimization
- (2017) Jiaqi Ma et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Eco approaching at an isolated signalized intersection under partially connected and automated vehicles environment
- (2017) Huifu Jiang et al. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES
- Constrained optimization and distributed computation based car following control of a connected and autonomous vehicle platoon
- (2016) Siyuan Gong et al. TRANSPORTATION RESEARCH PART B-METHODOLOGICAL
- Cooperative Adaptive Cruise Control
- (2015) Steven E. Shladover et al. TRANSPORTATION RESEARCH RECORD
- Passivity-based control for multi-vehicle systems subject to string constraints
- (2014) Steffi Knorn et al. AUTOMATICA
- String-Stable CACC Design and Experimental Validation: A Frequency-Domain Approach
- (2010) Gerrit J L Naus et al. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search