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02/28/2023
Semi-decentralized Inference in Heterogeneous Graph Neural Networks for Traffic Demand Forecasting: An Edge-Computing Approach
Accurate and timely prediction of transportation demand and supply is es...
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09/06/2022
Framework for Highway Traffic Profiling using Connected Vehicle Data
The connected vehicle (CV) data could potentially revolutionize the traf...
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08/21/2022
Development of a CAV-based Intersection Control System and Corridor Level Impact Assessment
This paper presents a signal-free intersection control system for CAVs b...
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07/24/2022
Assessing Connected Vehicle Data Coverage on New Jersey Roadways
The connected vehicle data (CVD) is one of the most promising emerging m...
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03/16/2020
Influence of CAV Clustering Strategies on Mixed Traffic Flow Characteristics: An Analysis of Vehicle Trajectory Data
Being one of the most promising applications enabled by connected and au...
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09/29/2019
Clustering Strategies of Cooperative Adaptive Cruise Control: Impacts on Human-driven Vehicles
As a promising application of connected and automated vehicles (CAVs), C...
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09/16/2019
Virtual Guide Dog: Next Generation Pedestrian Signal for the Visually Impaired
Accessible pedestrian signal (APS) was proposed as a mean to achieve the...
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08/27/2019