Highway traffic pattern analysis, Hierarchical grouping of highway types
Quantitative analysis of the relationships between weather and classified traffic volume
Manipulating over 300 million lines of raw Weigh-In-Motion (WIM) data collected in the Alberta highway network for over 10 years
Manipulating big and thick traffic data using Visual Basic (VB), Visual Basic Application (VBA), and R and Python statistical computing language
Application of the vehicle classification algorithm, Probabilistic Neural Network (PNN) on raw WIM traffic data
Winter traffic data imputation using the machine learning k-nearest neighbour (K-NN) method
Application of machine learning, stochastic gradient descent and mini-batch gradient descent method to model traffic data during seasons
Travel demand analysis & modelling using discrete choice models
Study on mode choice behaviour for various transportation user groups
Performance comparison of optimization algorithms adopted for discrete choice model estimation
Application of the non-linear programming technique to advance the performance of the choice model optimization algorithm
Developing a road deterioration model using a road inventory database
Developing a Life Cycle Cost Analysis (LCCA) tool to optimize budget split over the planning horizon for the municipal road network
Development of highway network analysis methods to assess the risks associated with the transportation of small modular reactors
Spatial analysis along a transportation network
Transportation infrastructure modelling