7 citations · 12 across the 5 of their papers we have counts for
9 papers
A Spring-Mass-Damper-Based Platooning Logic for Automated Vehicles
Ardeshir Mirbakhsh, Joyoung Lee, Dejan Besenski
This paper applies a classical physics-based model to control platooning AVs in a commercial traffic simulation software. In Spring-Mass-Damper model, each vehicle is assumed as a…
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…
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…
Smart Traffic Monitoring System using Computer Vision and Edge Computing
Guanxiong Liu, Hang Shi, Abbas Kiani +5
Traffic management systems capture tremendous video data and leverage advances in video processing to detect and monitor traffic incidents. The collected data are traditionally for…
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…
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…