activity
20192022
most citedData-Driven Multi-step Demand Prediction for Ride-hailing Services Using Convolutional Neural Network

27 citations · 57 across the 9 of their papers we have counts for

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5 papers · 1 filter

eess.SY202117 cited

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…

eess.SY20206 cited

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…

eess.SY20192 cited

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…

eess.SY2019

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…

eess.SY2019

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…