Xuewei Qi

发表

Deep reinforcement learning-based vehicle energy efficiency autonomous learning system

Guoyuan Wu, Matthew J. Barth, Yadan Luo, 2017, 2017 IEEE Intelligent Vehicles Symposium (IV).

Prediction-Based Eco-Approach and Departure at Signalized Intersections With Speed Forecasting on Preceding Vehicles

Peng Hao, Guoyuan Wu, Matthew J. Barth, 2019, IEEE Transactions on Intelligent Transportation Systems.

Energy and mobility benefits from connected ecodriving for electric vehicles

Peng Wang, Guoyuan Wu, Matthew J. Barth, 2017, 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC).

Developing and evaluating an eco-speed harmonization strategy for connected vehicles

Guoyuan Wu, Matthew J. Barth, Kanok Boriboonsomsin, 2015, 2015 International Conference on Connected Vehicles and Expo (ICCVE).

Next Generation Intelligent Driver-Vehicle-Infrastructure Cooperative System for Energy Efficient Driving in Connected Vehicle Environment - eScholarship

Xuewei Qi, 2016 .

A Novel Blended Real-Time Energy Management Strategy for Plug-in Hybrid Electric Vehicle Commute Trips

Guoyuan Wu, Matthew J. Barth, Kanok Boriboonsomsin, 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.

Development of Agent-Based On-Line Adaptive Signal Control (Ask) Framework Using Connected Vehicle (CV) Technology

Guoyuan Wu, Matthew Barth, David Kari, 2016 .

Intersection and Stop Bar Position Extraction from Crowdsourced GPS Trajectories

Peng Hao, Guoyuan Wu, Matthew Barth, 2017 .

Estimation of distribution algorithm enhanced particle swarm optimization for water distribution network optimization

Walter D. Potter, Ke Li, Xuewei Qi, 2015, Frontiers of Environmental Science & Engineering.

Swarm Intelligence Inspired Engineering Optimization

Xuewei Qi, 2014 .

Water distribution network optimization

Xuewei Qi, 2013 .

Intelligent On-Line Energy Management System for Plug-in Hybrid Electric Vehicles based on Evolutionary Algorithm

Guoyuan Wu, Matthew J. Barth, Kanok Boriboonsomsin, 2016, GECCO.

Data-Driven Reinforcement Learning–Based Real-Time Energy Management System for Plug-In Hybrid Electric Vehicles

Guoyuan Wu, Kanok Boriboonsomsin, Matthew Barth, 2016 .

Development and Evaluation of an Evolutionary Algorithm-Based OnLine Energy Management System for Plug-In Hybrid Electric Vehicles

Guoyuan Wu, Matthew J. Barth, Kanok Boriboonsomsin, 2017, IEEE Transactions on Intelligent Transportation Systems.

Chapter 2 - Data-Driven Energy Efficient Driving Control in Connected Vehicle Environment

Kanok Boriboonsomsin, Xuewei Qi, Matthew Barth, 2019 .

An on-line energy management strategy for plug-in hybrid electric vehicles using an Estimation Distribution Algorithm

Guoyuan Wu, Matthew J. Barth, Kanok Boriboonsomsin, 2014, 17th International IEEE Conference on Intelligent Transportation Systems (ITSC).

Connected Cooperative Ecodriving System Considering Human Driver Error

Guoyuan Wu, Matthew J. Barth, Kanok Boriboonsomsin, 2018, IEEE Transactions on Intelligent Transportation Systems.

Advanced Energy Management Strategy Development for Plug-in Hybrid Electric Vehicles

Guoyuan Wu, Kanok Boriboonsomsin, Xuewei Qi, 2016 .

Two Novel Optimization Strategies Based on PSO and EDA for Water Distribution Network Design

Walter D. Potter, Xuewei Qi, Ke Li, 2013 .

Estimate of fuel consumption and GHG emission impact from an automated mobility district

Xuewei Qi, Stanley Young, Yuche Chen, 2015, 2015 International Conference on Connected Vehicles and Expo (ICCVE).

Reinforcement Learning for Hybrid and Plug-In Hybrid Electric Vehicle Energy Management: Recent Advances and Prospects

Teng Liu, Matthew Barth, Xuewei Qi, 2019, IEEE Industrial Electronics Magazine.

Prediction-based Eco-Approach and Departure Strategy in Congested Urban Traffic

Peng Hao, Guoyuan Wu, Kanok Boriboonsomsin, 2017 .

Deep reinforcement learning enabled self-learning control for energy efficient driving

Guoyuan Wu, Yadan Luo, Kanok Boriboonsomsin, 2019, Transportation Research Part C: Emerging Technologies.

Guest Editorial Special Issue on Sensor Technologies for Connected Cars: Devices, Systems and Modeling

Kevin Curran, Reza Malekian, Christian Fischer Pedersen, 2018 .

Personalized keystroke dynamics for self-powered human--machine interfacing.

Peng Bai, Zhong Lin Wang, Jun Chen, 2015, ACS nano.

Evolutionary algorithm based on-line PHEV energy management system with self-adaptive SOC control

Guoyuan Wu, Matthew J. Barth, Kanok Boriboonsomsin, 2015, 2015 IEEE Intelligent Vehicles Symposium (IV).

Data-Driven Macroscopic Energy Consumption Estimation for Electric Vehicles with Different Information Availability

Yaotian Zhang, Xuewei Qi, Xuewei Qi, 2016, 2016 International Conference on Computational Science and Computational Intelligence (CSCI).

Empirical Study of Lane-Changing Characteristics on High-Occupancy-Vehicle Facilities with Different Types of Access Control Based on Aerial Survey Data

Guoyuan Wu, Kanok Boriboonsomsin, Matthew Barth, 2016 .

Integrated-Connected Eco-Driving System for PHEVs With Co-Optimization of Vehicle Dynamics and Powertrain Operations

Peng Hao, Guoyuan Wu, Matthew J. Barth, 2017, IEEE Transactions on Intelligent Vehicles.

Data-driven decomposition analysis and estimation of link-level electric vehicle energy consumption under real-world traffic conditions

Guoyuan Wu, Kanok Boriboonsomsin, Matthew Barth, 2017, Transportation Research Part D: Transport and Environment.

End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning pdf

Guoyuan Wu, Yu Jiang, Zhensong Wei, 2020, The Transportation Research Board (TRB) 99st Annual Meeting, Washington D.C., January 12-16, 2020.

Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling pdf

Ding Zhao, Henry Lam, Xuewei Qi, 2021, ArXiv.

A First-Order Estimate of Automated Mobility District Fuel Consumption and GHG Emission Impacts

Stanley E. Young, Jeffrey Gonder, Xuewei Qi, 2018 .