3 citations · 3 across the 3 of their papers we have counts for
5 papers
Collaborative-Distilled Diffusion Models (CDDM) for Accelerated and Lightweight Trajectory Prediction
Bingzhang Wang, Kehua Chen, Yinhai Wang
Trajectory prediction is a fundamental task in Autonomous Vehicles (AVs) and Intelligent Transportation Systems (ITS), supporting efficient motion planning and real-time traffic sa…
Large Language Models and Their Applications in Roadway Safety and Mobility Enhancement: A Comprehensive Review
Muhammad Monjurul Karim, Yan Shi, Shucheng Zhang +3
Roadway safety and mobility remain critical challenges for modern transportation systems, demanding innovative analytical frameworks capable of addressing complex, dynamic, and het…
Independent Mobility GPT (IDM-GPT): A Self-Supervised Multi-Agent Large Language Model Framework for Customized Traffic Mobility Analysis Using Machine Learning Models
Fengze Yang, Xiaoyue Cathy Liu, Lingjiu Lu +2
With the urbanization process, an increasing number of sensors are being deployed in transportation systems, leading to an explosion of big data. To harness the power of this vast…
PreMixer: MLP-Based Pre-training Enhanced MLP-Mixers for Large-scale Traffic Forecasting
Tongtong Zhang, Zhiyong Cui, Bingzhang Wang +4
In urban computing, precise and swift forecasting of multivariate time series data from traffic networks is crucial. This data incorporates additional spatial contexts such as sens…
Traffic Performance GPT (TP-GPT): Real-Time Data Informed Intelligent ChatBot for Transportation Surveillance and Management
Bingzhang Wang, Zhiyu Cai, Muhammad Monjurul Karim +2
The digitization of traffic sensing infrastructure has significantly accumulated an extensive traffic data warehouse, which presents unprecedented challenges for transportation ana…