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Xiaoling Luo et al.
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Heeyun Lee et al.
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Guan Wang et al.
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Jian Zhang et al.
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Kiwon Yeom
ENERGY REPORTS (2022)
Enhanced speed advice for connected vehicles in the proximity of signalized intersections
Evangelos Mintsis et al.
EUROPEAN TRANSPORT RESEARCH REVIEW (2021)
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Qiangqiang Guo et al.
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Fangwu Ma et al.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2021)
Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment
Haotian Shi et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)
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Marius Wegener et al.
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Haoxuan Dong et al.
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Adaptive signal control for bus service reliability with connected vehicle technology via reinforcement learning
Andy H. F. Chow et al.
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Energy and flow effects of optimal automated driving in mixed traffic: Vehicle-in-the-loop experimental results
Tyler Ard et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2021)
Accurate physics-based modeling of electric vehicle energy consumption in the SUMO traffic microsimulator
Lucas Koch et al.
2021 IEEE INTELLIGENT TRANSPORTATION SYSTEMS CONFERENCE (ITSC) (2021)
Integrated multistep Markov-based velocity predictor of energy consumption prediction model for battery electric vehicles
Jianhua Guo et al.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS (2021)
Jointly dampening traffic oscillations and improving energy consumption with electric, connected and automated vehicles: A reinforcement learning based approach
Xiaobo Qu et al.
APPLIED ENERGY (2020)
Eco-driving behaviors of electric vehicle users: A survey study
Guangjun Wang et al.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2020)
Dynamic Eco-Driving near Signalized Intersections: Systematic Review and Future Research Directions
Evangelos Mintsis et al.
JOURNAL OF TRANSPORTATION ENGINEERING PART A-SYSTEMS (2020)
Eco-driving control of connected and automated hybrid vehicles in mixed driving scenarios
Siyang Wang et al.
APPLIED ENERGY (2020)
Investigation of environmental benefits of traffic signal countdown timers
Minjeong Kim et al.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT (2020)
Deep Reinforcement Learning Agent with Varying Actions Strategy for Solving the Eco-Approach and Departure Problem at Signalized Intersections
Saleh R. Mousa et al.
TRANSPORTATION RESEARCH RECORD (2020)
Gap-based automated vehicular speed guidance towards eco-driving at an unsignalized intersection
Wenqing Chen et al.
TRANSPORTMETRICA B-TRANSPORT DYNAMICS (2019)
Evaluation of electric vehicle component performance over eco-driving cycles
Zhiming Gao et al.
ENERGY (2019)
V2I-based car-following modeling and simulation of signalized intersection
Yusheng Ci et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2019)
Regional comparison of electric vehicle adoption and emission reduction effects in China
Fangyi Li et al.
RESOURCES CONSERVATION AND RECYCLING (2019)
Spatiotemporal intersection control in a connected and automated vehicle environment
Yiheng Feng et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
A platoon based cooperative eco-driving model for mixed automated and human-driven vehicles at a signalised intersection
Weiming Zhao et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
An eco-driving system for electric vehicles with signal control under V2X environment
Ming Li et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2018)
Application and Evaluation of the Reinforcement Learning Approach to Eco-Driving at Intersections under Infrastructure-to-Vehicle Communications
Junqing Shi et al.
TRANSPORTATION RESEARCH RECORD (2018)
Eco approaching at an isolated signalized intersection under partially connected and automated vehicles environment
Huifu Jiang et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2017)
Influence of connected and autonomous vehicles on traffic flow stability and throughput
Alireza Talebpour et al.
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES (2016)
Human-level control through deep reinforcement learning
Volodymyr Mnih et al.
NATURE (2015)
Intersection Vehicle Cooperative Eco-Driving in the Context of Partially Connected Vehicle Environment
M. A. S. Kamal et al.
2015 IEEE 18TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (2015)
Model for Optimization of Ecodriving at Signalized Intersections
Zhi Chen et al.
TRANSPORTATION RESEARCH RECORD (2014)
Implementation of an Energy Model and a Charging Infrastructure in SUMO
Tamas Kurczveil et al.
SIMULATION OF URBAN MOBILITY (2014)
Dynamic Eco-Driving for Signalized Arterial Corridors and Its Indirect Network-Wide Energy/Emissions Benefits
Haitao Xia et al.
JOURNAL OF INTELLIGENT TRANSPORTATION SYSTEMS (2013)
Green Light Optimized Speed Advisory Systems Impact of Signal Phasing Information Accuracy
Aleksandar Stevanovic et al.
TRANSPORTATION RESEARCH RECORD (2013)
Predictive Cruise Control: Utilizing Upcoming Traffic Signal Information for Improving Fuel Economy and Reducing Trip Time
Behrang Asadi et al.
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY (2011)