80 citations · 304 across the 30 of their papers we have counts for
31 papers
Trajectory Prediction for Autonomous Driving in Road Construction Zones Using Human-in-the-Loop Driving Data
Shuo Zhang, Aman Sunesh, Semiha Ergan +1
Ego-trajectory prediction in urban roadway work zones remains an underexplored topic in autonomous-driving research, with limited dedicated data and systematic evaluation. Roadway…
Agents' Last Exam
Yiyou Sun, Xinyang Han, Weichen Zhang +355
Recent AI systems have achieved strong results on a wide range of benchmarks, yet these gains have not translated into economically meaningful deployment across many professional d…
From Cues to Horizons: Dynamic Risk Horizon Profiling for Trajectory Prediction
Xinyi Ning, Zilin Bian, Dachuan Zuo +2
Accurate and reliable vehicle trajectory prediction is essential for safe autonomous driving. Recent studies have incorporated safety risk into trajectory prediction to quantify da…
Dynamic Deployment of Mobile Charging Trucks During Natural Disaster Evacuation: An Offline-to-Online Framework
Rui Ma, Zilin Bian, Kaan Ozbay
During large-scale evacuations, concentrated electric vehicle (EV) charging demand can overload fixed charging stations (FCSs), leading to prolonged waiting time and increased risk…
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…
Deep and diverse population synthesis for multi-person households using generative models with conditional inputs
Hai Yang, Hongying Wu, Linfei Yuan +4
Traditional methods of population synthesis produce stable and interpretable populations but cannot capture the interrelationships between household- and individual-level attribute…
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…
Pricing is All You Need to Improve Traffic Routing
Yu Tang, Kaan Ozbay, Li Jin
We investigate the design of pricing policies that enhance driver adherence to route guidance, ensuring effective routing control. The major novelty lies in that we adopt a Markov…
When language and vision meet road safety: leveraging multimodal large language models for video-based traffic accident analysis
Ruixuan Zhang, Beichen Wang, Juexiao Zhang +3
The increasing availability of traffic videos functioning on a 24/7/365 time scale has the great potential of increasing the spatio-temporal coverage of traffic accidents, which wi…
A multi-dimension and high-granularity equity measurement for transportation services through accessibility and reliability
Mengke, Ma, Zilin Bian +4
Transportation equity research has traditionally emphasized service accessibility and destination reachability while often overlooking the critical aspects of service quality, such…
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…
Traffic Prediction considering Multiple Levels of Spatial-temporal Information: A Multi-scale Graph Wavelet-based Approach
Zilin Bian, Jingqin Gao, Kaan Ozbay +1
Although traffic prediction has been receiving considerable attention with a number of successes in the context of intelligent transportation systems, the prediction of traffic sta…
A-TEAM: Advanced Traffic Event Analysis and Management Platform for Transportation Data-Driven Problem Solving
Zilin Bian, Dachuan Zuo, Jingqin Gao +2
The rapid growth in terms of the availability of transportation data provides great potential for the introduction of emerging data-driven methodologies into transportation-related…
Learning When to See for Long-term Traffic Data Collection on Power-constrained Devices
Ruixuan Zhang, Wenyu Han, Zilin Bian +2
Collecting traffic data is crucial for transportation systems and urban planning, and is often more desirable through easy-to-deploy but power-constrained devices, due to the unava…
Physics-informed Machine Learning for Calibrating Macroscopic Traffic Flow Models
Yu Tang, Li Jin, Kaan Ozbay
Well-calibrated traffic flow models are fundamental to understanding traffic phenomena and designing control strategies. Traditional calibration has been developed base on optimiza…
Robust Queue Length Estimation for Ramp Metering in a Connected Vehicle Environment
Yu Tang, Kaan Ozbay, Li Jin
Connected vehicles (CVs) can provide numerous new data via vehicle-to-vehicle or vehicle-to-infrastructure communication. These data can in turn be used to facilitate real-time tra…
How Does Driver Non-compliance Destroy Traffic Routing Control?
Yu Tang, Li Jin, Kaan Ozbay
Routing control is one of important traffic management strategies against urban congestion. However, it could be compromised by heterogeneous driver non-compliance with routing ins…
A Data-Driven and Integrated Evaluation of Area-wide Impacts of Double Parking Using Macroscopic and Microscopic Models
Jingqin Gao, Kaan Ozbay, Michael Marsico
Double parking that often negatively affects traffic operations and safety is not a new phenomenon on urban streets. This study proposes a novel data-driven integrated framework fo…
The Effects of the COVID-19 Pandemic on Transportation Systems in New York City and Seattle, USA
Jingqin Gao, Jingxing Wang, Zilin Bian +8
This paper continues to highlight trends in mobility and sociability in New York City (NYC), and supplements them with similar data from Seattle, WA, two of the cities most affecte…
Initial Impacts of COVID-19 on Transportation Systems: A Case Study of the U.S. Epicenter, the New York Metropolitan Area
Jingqin Gao, Suzana Duran Bernardes, Zilin Bian +2
The novel Coronavirus COVID-19 spreading rapidly throughout the world was recognized by the World Health Organization (WHO) as a pandemic on March 11, 2020. One month into the COVI…
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…