27 citations · 38 across the 6 of their papers we have counts for
8 papers
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…
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…
Vision-Based Lane-Changing Behavior Detection Using Deep Residual Neural Network
Zhensong Wei, Chao Wang, Peng Hao +1
Accurate lane localization and lane change detection are crucial in advanced driver assistance systems and autonomous driving systems for safer and more efficient trajectory planni…
Data-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional Neural Network
Chao Wang, Yi Hou, Matthew Barth
Ride-hailing services are growing rapidly and becoming one of the most disruptive technologies in the transportation realm. Accurate prediction of ride-hailing trip demand not only…
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…