Kernel Smoothing Method Applicable to the Dynamic Calibration of Traffic Flow Models. - Dong Ngoduy (Comput. Aided Civ. Infrastructure Eng., 2011)

Analytical studies on the instabilities of heterogeneous intelligent traffic flow. - Dong Ngoduy (Commun. Nonlinear Sci. Numer. Simul., 2013)

Instability of cooperative adaptive cruise control traffic flow: A macroscopic approach. - Dong Ngoduy (Commun. Nonlinear Sci. Numer. Simul., 2013)

Multianticipative Nonlocal Macroscopic Traffic Model. - Dong Ngoduy; R. Eddie Wilson (Comput. Aided Civ. Infrastructure Eng., 2014)

Linear stability of a generalized multi-anticipative car following model with time delays. - Dong Ngoduy (Commun. Nonlinear Sci. Numer. Simul., 2015)

Convex signal control model in a single-destination dynamic traffic assignment. - Nam H. Hoang; Hai Le Vu; Mike Smith; Dong Ngoduy (ITSC, 2016)

The Accuracy of Cell-based Dynamic Traffic Assignment: Impact of Signal Control on System Optimality. - Tarikul Islam; Hai Le Vu; Manoj Panda; Nam H. Hoang; Dong Ngoduy (CoRR, 2017)

A Joint Control-Communication Design for Reliable Vehicle Platooning in Hybrid Traffic. - Bingyi Liu; Dongyao Jia; Kejie Lu; Dong Ngoduy; Jianping Wang 001; Libing Wu (IEEE Trans. Veh. Technol., 2017)

A study of realistic dynamic traffic assignment with signal control, time-scale, and emission. - Tarikul Islam; Hai Le Vu; Manoj K. Panda; Dong Ngoduy (J. Intell. Transp. Syst., 2018)

Effects of Near-Side and Far-Side Bus Stops on NMFD of Bi-Modal Urban Network. - Mansour Johari; Mehdi Keyvan-Ekbatani; Dong Ngoduy; Hugo Badia (ITSC, 2019)

A comparative study on filtering methods for online freeway traffic estimation using heterogeneous data. - Xuan Sy Trinh; Dong Ngoduy; Mehdi Keyvan-Ekbatani; Blair Robertson (ITSC, 2019)

Space Distribution Method for Autonomous Vehicles at a Signalized Multi-Lane Intersection. - Tung Phan Thanh; Dong Ngoduy; Long Bao Le (IEEE Trans. Intell. Transp. Syst., 2020)

Examining queue-jumping phenomenon in heterogeneous traffic stream at signalized intersection using UAV-based data. - Afzal Ahmed; Fatma Outay; Syeda Ofaq Raza Zaidi; Muhammad Adnan 003; Dong Ngoduy (Pers. Ubiquitous Comput., 2021)

Real-Time Prediction of the Lane-Based Delay for Group-Based Adaptive Traffic Operations Using Long Short-Term Memory. - Seunghyeon Lee; Dong Ngoduy; Fang Chen (AI, 2022)

Optimal Trajectory Planning Framework for a Mixed Traffic Network. - Anh T. Hoang; Cuong H. P. Nguyen; Dong Ngoduy; Hai Le Vu (ITSC, 2022)

A Driving Risk Surrogate and Its Application in Car-Following Scenario at Expressway. - Renfei Wu; Linheng Li; Haotian Shi; Yikang Rui; Dong Ngoduy; Bin Ran (CoRR, 2022)

A Cooperative Space Distribution Method for Autonomous Vehicles at A Lane-Drop Bottleneck on Multi-Lane Freeways. - Tung Phan Thanh; Long Bao Le; Dong Ngoduy (IEEE Trans. Intell. Transp. Syst., 2022)

Optimal Routing for Autonomous Vehicles in a Mixed Congested Network Considering Fairness. - Ali Davoodi; Mark Wallace 001; Daniel Harabor; Dong Ngoduy (ITSC, 2023)

Capturing the equilibrium traffic state hypothesis of car-following models with artificial neural network. - Tenglong Li; Dong Ngoduy; Seunghyeon Lee; Ziyuan Pu (MT-ITS, 2023)

Partitioning of urban networks with polycentric congestion pattern for traffic management policies: Identifying protected networks. - Shang Jiang; Mehdi Keyvan-Ekbatani; Dong Ngoduy (Comput. Aided Civ. Infrastructure Eng., 2023)

Hopf Bifurcation Analysis of Mixed Traffic and Its Implications for Connected and Autonomous Vehicles. - Tenglong Li; Dong Ngoduy; Xiangmo Zhao (IEEE Trans. Intell. Transp. Syst., 2023)

Non-Stationary-Oriented Highway Traffic Flow Spatiotemporal Prediction: Joint Koopman Theory and Graph Convolutional Network. - Ting Wang; Dong Ngoduy; Hao Lyu; Guojian Zou; Jingjue Bao; Ye Li (ITSC, 2024)

Inferring Heterogeneous Treatment Effects of Crashes on Highway Traffic: A Doubly Robust Causal Machine Learning Approach. - Shuang Li 016; Ziyuan Pu; Zhiyong Cui; Seunghyeon Lee; Xiucheng Guo; Dong Ngoduy (CoRR, 2024)

A hybrid neural network for real-time OD demand calibration under disruptions. - Takao Dantsuji; Dong Ngoduy; Ziyuan Pu; Seunghyeon Lee; Hai L. Vu (CoRR, 2024)

Knowledge-data fusion oriented traffic state estimation: A stochastic physics-informed deep learning approach. - Ting Wang; Ye Li; Rongjun Cheng; Guojian Zou; Takao Dantsuji; Dong Ngoduy (CoRR, 2024)

PI-STGnet: Physics-integrated spatiotemporal graph neural network with fundamental diagram learner for highway traffic flow prediction. - Ting Wang; Dong Ngoduy; Guojian Zou; Takao Dantsuji; Zongshi Liu; Ye Li (Expert Syst. Appl., 2024)

A dual-layer path planning approach for ramp merging with integrated risk management. - Renfei Wu; Junfeng Jiang; Wenqi Lu 003; Yikang Rui; Dong Ngoduy; Bin Ran (Expert Syst. Appl., 2025)

A Knowledge-Informed Deep Learning Paradigm for Generalizable and Stability-Optimized Car-Following Models. - Chengming Wang; Dongyao Jia; Wei Wang; Dong Ngoduy; Bei Peng; Jianping Wang 001 (CoRR, 2025)

A Sequencing Game Approach for Eco-Friendly Platoon Merging in a Connected Environment. - Sheng Yue; Fang Zong; Takao Dantsuji; Dong Ngoduy (IEEE Trans. Intell. Transp. Syst., 2025)