151 citations · 331 across the 24 of their papers we have counts for
7 papers · 1 filter
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…
Early Findings from Field Trials of Heavy-Duty Truck Connected Eco-Driving System
Ziran Wang, Yuan-Pu Hsu, Alexander Vu +9
In recent years, the development of connected and automated vehicle (CAV) technology has inspired numerous advanced applications targeted at improving existing transportation syste…
Challenges in Partially-Automated Roadway Feature Mapping Using Mobile Laser Scanning and Vehicle Trajectory Data
Mohammad Billah, Farzana Rahman, Arash Maskooki +3
Connected vehicle and driver's assistance applications are greatly facilitated by Enhanced Digital Maps (EDMs) that represent roadway features (e.g., lane edges or centerlines, sto…