60 citations · 102 across the 13 of their papers we have counts for
14 papers
The Calibration Illusion in Traffic Microsimulation
Cameron Hickert, Maryam Samaei, Athena Wang +5
The transportation community seeks to use calibration methods for highway traffic microsimulation. This is a response to the time-consuming and subjective nature of traditional man…
Scalable analysis of stop-and-go waves: Representation, measurements and insights
Junyi Ji, Derek Gloudemans, Yanbing Wang +5
Analyzing stop-and-go waves at the scale of miles and hours of data is an emerging challenge in traffic research. The past 5 years have seen an explosion in the availability of lar…
Traffic Control via Connected and Automated Vehicles: An Open-Road Field Experiment with 100 CAVs
Jonathan W. Lee, Han Wang, Kathy Jang +61
The CIRCLES project aims to reduce instabilities in traffic flow, which are naturally occurring phenomena due to human driving behavior. These "phantom jams" or "stop-and-go waves,…
Virtual trajectories for I-24 MOTION: data and tools
Junyi Ji, Yanbing Wang, Derek Gloudemans +3
This article introduces a new virtual trajectory dataset derived from the I-24 MOTION INCEPTION v1.0.0 dataset to address challenges in analyzing large but noisy trajectory dataset…
Online Min Cost Circulation for Multi-Object Tracking on Fragments
Yanbing Wang, Junyi Ji, William Barbour +1
Multi-object tracking (MOT) or global data association problem is commonly approached as a minimum-cost-flow or minimum-cost-circulation problem on a graph. While there have been n…
MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits
Yuhang Zhang, Marcos Quinones-Grueiro, Zhiyao Zhang +4
Variable Speed Limit (VSL) control acts as a promising highway traffic management strategy with worldwide deployment, which can enhance traffic safety by dynamically adjusting spee…
So you think you can track?
Derek Gloudemans, Gergely Zachár, Yanbing Wang +10
This work introduces a multi-camera tracking dataset consisting of 234 hours of video data recorded concurrently from 234 overlapping HD cameras covering a 4.2 mile stretch of 8-10…
The Interstate-24 3D Dataset: a new benchmark for 3D multi-camera vehicle tracking
Derek Gloudemans, Yanbing Wang, Gracie Gumm +2
This work presents a novel video dataset recorded from overlapping highway traffic cameras along an urban interstate, enabling multi-camera 3D object tracking in a traffic monitori…
Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks
Yue Hu, Yuhang Zhang, Yanbing Wang +1
With the rapid development of Internet of Things technologies, the next generation traffic monitoring infrastructures are connected via the web, to aid traffic data collection and…
I-24 MOTION: An instrument for freeway traffic science
Derek Gloudemans, Yanbing Wang, Junyi Ji +3
The Interstate-24 MObility Technology Interstate Observation Network (I-24 MOTION) is a new instrument for traffic science located near Nashville, Tennessee. I-24 MOTION consists o…
Automatic vehicle trajectory data reconstruction at scale
Yanbing Wang, Derek Gloudemans, Junyi Ji +5
In this paper we propose an automatic trajectory data reconciliation to correct common errors in vision-based vehicle trajectory data. Given "raw" vehicle detection and tracking in…
Streaming data preprocessing via online tensor recovery for large environmental sensor networks
Yue Hu, Ao Qu, Yanbing Wang +1
Measuring the built and natural environment at a fine-grained scale is now possible with low-cost urban environmental sensor networks. However, fine-grained city-scale data analysi…
Identifiability of car-following dynamic
Yanbing Wang, Maria Laura Delle Monache, Daniel B. Work
The advancement of in-vehicle sensors provides abundant datasets to estimate parameters of car-following models that describe driver behaviors. The question of parameter identifiab…
Estimating adaptive cruise control model parameters from on-board radar units
Yanbing Wang, George Gunter, Matthew Nice +1
Two new methods are presented for estimating car-following model parameters using data collected from the Adaptive Cruise Control (ACC) enabled vehicles. The vehicle is assumed to…