80 citations · 304 across the 30 of their papers we have counts for
6 papers · 1 filter
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…