33 citations · 69 across the 11 of their papers we have counts for
13 papers
SceneFactory-3D: Lifting 2D Traffic Scenes into 3D Physical Counterfactuals for Scalable Physically Grounded Safety Evaluation
Yicheng Zhu, Linfeng Tian, Tianmu Zhao +4
Scalable driving simulators typically execute vehicle commands using prescribed behavioral or kinematic rules, overlooking the physics of tire-road interfaces, thereby limiting the…
SIREN-Bench: Behavior-Driven Generation and Evaluation of Emergency-Vehicle Interactions
Yicheng Zhu, Tianmu Zhao, Haoxin Leng +3
Emergency vehicles (EMVs) can reorganize surrounding traffic as civilian vehicles brake, change lanes, or form rescue corridors in response to their passage. Evaluating these safet…
Distributed Online Convex Optimization with Nonseparable Costs and Constraints
Zhaoye Pan, Haozhe Lei, Fan Zuo +2
This paper studies distributed online convex optimization with time-varying coupled constraints, motivated by distributed online control in network systems. Most prior work assumes…
Scaling Traffic Insights with AI and Language Model-Powered Camera Systems for Data-Driven Transportation Decision Making
Fan Zuo, Donglin Zhou, Jingqin Gao +1
Accurate, scalable traffic monitoring is critical for real-time and long-term transportation management, particularly during disruptions such as natural disasters, large constructi…
Composite Safety Potential Field for Highway Driving Risk Assessment
Dachuan Zuo, Zilin Bian, Fan Zuo +1
In the era of rapid advancements in vehicle safety technologies, driving risk assessment has become a focal point of attention. Technologies such as collision warning systems, adva…
Traffic Adaptive Moving-window Service Patrolling for Real-time Incident Management during High-impact Events
Haozhe Lei, Ya-Ting Yang, Tao Li +4
This paper presents the Traffic Adaptive Moving-window Patrolling Algorithm (TAMPA), designed to improve real-time incident management during major events like sports tournaments a…
Multi-level Traffic-Responsive Tilt Camera Surveillance through Predictive Correlated Online Learning
Tao Li, Zilin Bian, Haozhe Lei +5
In urban traffic management, the primary challenge of dynamically and efficiently monitoring traffic conditions is compounded by the insufficient utilization of thousands of survei…
Digital Twin-based Driver Risk-Aware Intelligent Mobility Analytics for Urban Transportation Management
Tao Li, Zilin Bian, Haozhe Lei +6
Traditional mobility management strategies emphasize macro-level mobility oversight from traffic-sensing infrastructures, often overlooking safety risks that directly affect road u…
Informed along the road: roadway capacity driven graph convolution network for network-wide traffic prediction
Zilin Bian, Jingqin Gao, Kaan Ozbay +3
While deep learning has shown success in predicting traffic states, most methods treat it as a general prediction task without considering transportation aspects. Recently, graph n…
Agent-based Simulation Model and Deep Learning Techniques to Evaluate and Predict Transportation Trends around COVID-19
Ding Wang, Fan Zuo, Jingqin Gao +11
The COVID-19 pandemic has affected travel behaviors and transportation system operations, and cities are grappling with what policies can be effective for a phased reopening shaped…
NYC Recovery at a Glance: The Rise of Buses and Micromobility
Suzana Duran Bernardes, Zilin Bian, Siva Sooryaa Muruga Thambiran +9
New York City (NYC) is entering Phase 4 of the state's reopening plan, starting July 20, 2020. This white paper updates travel trends observed during the first three reopening phas…
Toward the "New Normal": A Surge in Speeding, New Volume Patterns, and Recent Trends in Taxis/For-Hire Vehicles
Jingqin Gao, Abhinav Bhattacharyya, Ding Wang +11
Six months into the pandemic and one month after the phase four reopening in New York City (NYC), restrictions are lifting, businesses and schools are reopening, but global infecti…
An Interactive Data Visualization and Analytics Tool to Evaluate Mobility and Sociability Trends During COVID-19
Fan Zuo, Jingxing Wang, Jingqin Gao +5
The COVID-19 outbreak has dramatically changed travel behavior in affected cities. The C2SMART research team has been investigating the impact of COVID-19 on mobility and sociabili…