This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Search
Skip to Search Results- 4Optimization
- 2Agent-based modeling
- 2Decision making
- 2Graph embedding
- 2Planning
- 2Reinforcement learning
- 3Civil and Environmental Engineering, Department of
- 2Civil and Environmental Engineering, Department of/Research Materials (Civil & Environmental Engineering)
- 1Civil and Environmental Engineering, Department of/Structural Engineering Reports
- 1Mechanical Engineering, Department of
- 1Mechanical Engineering, Department of/Journal Articles (Mechanical Engineering)
-
Development and evaluation of adaptive transit signal priority control with updated transit delay model
Download2019-11-12
Han, X., Li, P., Sikder, R., Qiu, Z., Kim, A.
Transit signal priority (TSP) strategies are widely used to reduce bus travel delay and to increase bus service reliability. State-of-the-art strategies enable dynamic (and optimal), rather than predetermined, TSP plans to reflect real-time traffic conditions. These dynamic plans are called...
-
Hybridization of Reinforcement Learning and Agent-Based Modeling to Optimize Construction Planning and Scheduling
Download2022-10-01
Kedir, Nebiyu Siraj, Somi, Sahand, Fayek, Aminah Robinson, Nguyen, Phuong
Decision-making in construction planning and scheduling is complex because of budget and resource constraints, uncertainty, and the dynamic nature of construction environments. A knowledge gap in the construction literature exists regarding decision-making frameworks with the ability to learn and...
-
Hybridization of reinforcement learning and agent-based modeling to optimize construction planning and scheduling
Download2022-10-01
Kedir, Nebiyu Siraj, Somi, Sahand, Fayek, Aminah Robinson, Nguyen, Phuong H.D.
Decision-making in construction planning and scheduling is complex because of budget and resource constraints, uncertainty, and the dynamic nature of construction environments. A knowledge gap in the construction literature exists regarding decision-making frameworks with the ability to learn and...
-
Towards optimization of thickness, hardness, and porosity of low-pressure cold sprayed WC-Ni coatings.
Download2021-01-01
Jibran, Wania, Hogan, James D., McDonald, André
In this study, a 33 full factorial design methodology was used to analyze the effects of spray parameters on the thickness, hardness, and surface porosity of low-pressure cold-sprayed WC-17Ni coatings. Three levels were selected for the spray parameters included in the design which were the...