17 citations · 29 across the 6 of their papers we have counts for
7 papers
A Game Theory Based Ramp Merging Strategy for Connected and Automated Vehicles in the Mixed Traffic: A Unity-SUMO Integrated Platform
Xishun Liao, Xuanpeng Zhao, Guoyuan Wu +4
Ramp merging is considered as one of the major causes of traffic congestion and accidents because of its chaotic nature. With the development of connected and automated vehicle (CA…
Eco-Routing Navigation System for Electric Vehicles
Guoyuan Wu, Kanok Boriboonsomsin, Matthew J. Barth
The goal of this project is to determine the feasibility of calculating a travel route for an electric vehicle (EV) that will require the least amount of energy for the trip, and t…
A Review and Outlook of Energy Consumption Estimation Models for Electric Vehicles
Yuche Chen, Guoyuan Wu, Ruixiao Sun +3
Electric vehicles (EVs) are critical to the transition to a low-carbon transportation system. The successful adoption of EVs heavily depends on energy consumption models that can a…
End-to-End Vision-Based Adaptive Cruise Control (ACC) Using Deep Reinforcement Learning
Zhensong Wei, Yu Jiang, Xishun Liao +5
This paper presented a deep reinforcement learning method named Double Deep Q-networks to design an end-to-end vision-based adaptive cruise control (ACC) system. A simulation envir…
Optimal Control-Based Eco-Ramp Merging System for Connected and Automated Electric Vehicles
Zhouqiao Zhao, Guoyuan Wu, Ziran Wang +1
Our current transportation system suffers from a number of problems in terms of safety, mobility, and environmental sustainability. The emergence of innovative intelligent transpor…
The State-of-the-Art of Coordinated Ramp Control with Mixed Traffic Conditions
Zhouqiao Zhao, Ziran Wang, Guoyuan Wu +2
Ramp metering, a traditional traffic control strategy for conventional vehicles, has been widely deployed around the world since the 1960s. On the other hand, the last decade has w…