130 citations · 142 across the 5 of their papers we have counts for
5 papers
Stochastic Dynamic Pricing of Electric Vehicle Charging with Heterogeneous User Behavior: A Stackelberg Game Framework
Yongqi Zhang, Dong Ngoduy, Li Duan +2
The rapid adoption of electric vehicles (EVs) introduces complex spatiotemporal demand management challenges for charging station operators (CSOs), exacerbated by demand imbalances…
A Knowledge-Informed Deep Learning Paradigm for Generalizable and Stability-Optimized Car-Following Models
Chengming Wang, Dongyao Jia, Wei Wang +3
Car-following models (CFMs) are fundamental to traffic flow analysis and autonomous driving. Although calibrated physics-based and trained data-driven CFMs can replicate human driv…
A hybrid neural network for real-time OD demand calibration under disruptions
Takao Dantsuji, Dong Ngoduy, Ziyuan Pu +2
Existing automated urban traffic management systems, designed to mitigate traffic congestion and reduce emissions in real time, face significant challenges in effectively adapting…
Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach
Shuang Li, Ziyuan Pu, Zhiyong Cui +3
Highway traffic crashes exert a considerable impact on both transportation systems and the economy. In this context, accurate and dependable emergency responses are crucial for eff…
Langevin method for a continuous stochastic car-following model and its stability conditions
D. Ngoduy, S. Lee, M. Treiber +2
In car-following models, the driver reacts according to his physical and psychological abilities which may change over time. However, most car-following models are deterministic an…