67 citations · 177 across the 28 of their papers we have counts for
16 papers · 1 filter
Dual LiDAR-Based Traffic Movement Count Estimation at a Signalized Intersection: Deployment, Data Collection, and Preliminary Analysis
Saswat Priyadarshi Nayak, Guoyuan Wu, Kanok Boriboonsomsin +1
Traffic Movement Count (TMC) at intersections is crucial for optimizing signal timings, assessing the performance of existing traffic control measures, and proposing efficient lane…
Real-time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control
Zhouqiao Zhao, Xishun Liao, Amr Abdelraouf +4
Advanced Driver Assistance Systems (ADAS) are increasingly important in improving driving safety and comfort, with Adaptive Cruise Control (ACC) being one of the most widely used.…
Overtaking-enabled Eco-approach Control at Signalized Intersections for Connected and Automated Vehicles
Haoxuan Dong, Weichao Zhuang, Guoyuan Wu +3
Preceding vehicles typically dominate the movement of following vehicles in traffic systems, thereby significantly influencing the efficacy of eco-driving control that concentrates…
Driver Digital Twin for Online Prediction of Personalized Lane Change Behavior
Xishun Liao, Xuanpeng Zhao, Ziran Wang +5
Connected and automated vehicles (CAVs) are supposed to share the road with human-driven vehicles (HDVs) in a foreseeable future. Therefore, considering the mixed traffic environme…
Assessment of U.S. Department of Transportation Lane-Level Map for Connected Vehicle Applications
Wang Hu, David Oswald, Guoyuan Wu +1
High-definition (Hi-Def) digital maps are an indispensable automated driving technology that is developing rapidly. There are various commercial or governmental map products in the…
Evaluating Cybersecurity Risks of Cooperative Ramp Merging in Mixed Traffic Environments
Xuanpeng Zhao, Ahmed Abdo, Xishun Liao +2
Connected and Automated Vehicle (CAV) technology has the potential to greatly improve transportation mobility, safety, and energy efficiency. However, ubiquitous vehicular connecti…
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…
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…
Lookup Table-Based Consensus Algorithm for Real-Time Longitudinal Motion Control of Connected and Automated Vehicles
Ziran Wang, Kyuntae Han, BaekGyu Kim +2
Connected and automated vehicle (CAV) technology is one of the promising solutions to addressing the safety, mobility and sustainability issues of our current transportation system…
Agent-Based Modeling and Simulation of Connected and Automated Vehicles Using Game Engine: A Cooperative On-Ramp Merging Study
Ziran Wang, BaekGyu Kim, Hiromitsu Kobayashi +2
Agent-based modeling and simulation (ABMS) has been a popular approach to modeling autonomous and interacting agents in a multi-agent system. Specifically, ABMS can be applied to c…
A Review on Cooperative Adaptive Cruise Control (CACC) Systems: Architectures, Controls, and Applications
Ziran Wang, Guoyuan Wu, Matthew Barth
Connected and automated vehicles (CAVs) have the potential to address the safety, mobility and sustainability issues of our current transportation systems. Cooperative adaptive cru…
Cluster-Wise Cooperative Eco-Approach and Departure Application for Connected and Automated Vehicles along Signalized Arterials
Ziran Wang, Guoyuan Wu, Peng Hao +1
In recent years, various versions of the Eco-Approach and Departure (EAD) application have been developed and evaluated. This application utilizes Signal Phase and Timing (SPaT) in…