activity
20192022
collaborators

9 papers

cs.CY2022

Assessing Connected Vehicle Data Coverage on New Jersey Roadways

Branislav Dimitrijevic, Zijia Zhong, Liuhui Zhao +2

The connected vehicle data (CVD) is one of the most promising emerging mobility data that greatly increases the ability to effectively monitor transportation system performance. A…

cs.NI2022

Framework for Highway Traffic Profiling using Connected Vehicle Data

Zijia Zhong, Liuhui Zhao, Branislav Dimitrijevic +2

The connected vehicle (CV) data could potentially revolutionize the traffic monitoring landscape as a new source of CV data that are collected exclusively from original equipment m…

cs.MA2020

Autonomous and Semi-Autonomous Intersection Management: A Survey

Zijia Zhong, Mark Nejad, Earl E. Lee

Intersection is a major source of traffic delays and accidents within modern transportation systems. Compared to signalized intersection management, autonomous intersection managem…

cs.MA2020

Influence of CAV Clustering Strategies on Mixed Traffic Flow Characteristics: An Analysis of Vehicle Trajectory Data

Zijia Zhong, Earl E. Lee, Mark Nejad +1

Being one of the most promising applications enabled by connected and automated vehicles (CAV) technology, Cooperative Adaptive Cruise Control (CACC) is expected to be deployed in…

cs.MA2019

Clustering Strategies of Cooperative Adaptive Cruise Control: Impacts on Human-driven Vehicles

Zijia Zhong, Mark Nejad, Earl E. Lee +1

As a promising application of connected and automated vehicles (CAVs), Cooperative Adaptive Cruise Control (CACC) is expected to be deployed on the public road in the near term. Th…

cs.HC2019

Virtual Guide Dog: Next Generation Pedestrian Signal for the Visually Impaired

Zijia Zhong, Joyoung Lee

Accessible pedestrian signal (APS) was proposed as a mean to achieve the same level of service that is set forth by the American with Disability Act (ADA) for the visually impaired…