- Ego‐planning‐guided multi‐graph convolutional network for heterogeneous agent trajectory prediction. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 22 (novembre 2024). (2024):
- Dynamic urban traffic rerouting with fog‐cloud reinforcement learning. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 6 (octobre 2023). (2023):
- IRI Estimation Based on Pavement Distress Type, Density, and Severity: Efficacy of Machine Learning and Statistical Techniques. Dans: Journal of Infrastructure Systems, v. 28, n. 4 (décembre 2022). (2022):
- Graph neural network and reinforcement learning for multi‐agent cooperative control of connected autonomous vehicles. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 7 (avril 2021). (2021):
- Repositioning Shared Urban Personal Transport Units: Considerations of Travel Cost and Demand Uncertainty. Dans: Journal of Infrastructure Systems, v. 27, n. 3 (septembre 2021). (2021):
- Extracting Topographic Data from Online Sources to Generate a Digital Elevation Model for Highway Preliminary Geometric Design. Dans: Journal of Transportation Engineering, Part A: Systems, v. 145, n. 4 (avril 2019). (2019):
- Methodology for Probabilistic Modeling of Highway Bridge Infrastructure Condition: Accounting for Improvement Effectiveness and Incorporating Random Effects. Dans: Journal of Infrastructure Systems, v. 23, n. 4 (décembre 2017). (2017):
- Examining Relationship between Infrastructure Investment and Performance Using State-Level Data. Dans: Journal of Infrastructure Systems, v. 25, n. 4 (décembre 2019). (2019):
- (2020): Vehicle Connectivity and Automation: A Sibling Relationship. Dans: Frontiers in Built Environment, v. 6 (janvier 2020).
- Inputs for bridge painting decision support: a synthesis. Dans: Infrastructure Asset Management, v. 5, n. 2 (juin 2018). (2018):
- Costs and benefits of highway resurfacing: a case study of Interstate 465 in Indiana, USA. Dans: Infrastructure Asset Management, v. 5, n. 2 (juin 2018). (2018):
- A Methodology to Account for One-Way Infrastructure Interdependency in Preservation Activity Scheduling. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 33, n. 11 (octobre 2018). (2018):
- Predicting Cost Escalation Pathways and Deviation Severities of Infrastructure Projects Using Risk-Based Econometric Models and Monte Carlo Simulation. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 32, n. 8 (juillet 2017). (2017):
- Network‐level scheduling of road construction projects considering user and business impacts. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 35, n. 7 (avril 2020). (2020):
- A deep learning algorithm for simulating autonomous driving considering prior knowledge and temporal information. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 35, n. 4 (4 mars 2020). (2020):