Tae J. Kwon
- Using explainable AI for enhanced understanding of winter road safety: insights with support vector machines and SHAP. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 51, n. 9 (September 2024). (2024):
- Enhancing winter road maintenance with explainable AI: SHAP analysis for interpreting machine learning models in road friction estimation. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 51, n. 5 (May 2024). (2024):
- Location–allocation strategies for traffic counters—a citywide deployment. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 50, n. 10 (1 October 2023). (2023):
- Developing Machine Learning-based Approach for Predicting Road Surface Frictions using Dashcam Images – A City of Edmonton, Canada, Case Study. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 50, n. 10 (1 October 2023). (2023):
- Factors Influencing Pavement Friction during Snowstorms. In: Journal of Cold Regions Engineering, v. 37, n. 3 (September 2023). (2023):
- Spatial Mapping of Winter Road Surface Conditions via Hybrid Geostatistical Techniques. In: Journal of Cold Regions Engineering, v. 36, n. 4 (December 2022). (2022):
- Effects of winter weather on traffic operations and optimization of signalized intersections. In: Journal of Traffic and Transportation Engineering (English Edition), v. 6, n. 2 (April 2019). (2019):
- Development of Zonal-Specific Semivariograms for a Strategic RWIS Network Optimization: Case Study. In: Journal of Infrastructure Systems, v. 25, n. 2 (June 2019). (2019):
- Optimizing Snowplow Routes using All-New Perspectives: Road Users and Winter Road Maintenance Operators. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 48, n. 8 (August 2021). (2021):
- Performance Evaluation of Road Surface Temperature Forecasts. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 48, n. 5 (May 2021). (2021):
- Location Optimization of Road Weather Information System (RWIS) Network Considering the Needs of Winter Road Maintenance and the Traveling Public. In: Computer-Aided Civil and Infrastructure Engineering, v. 32, n. 1 (December 2017). (2017):
- An Enhanced Spatial Statistical Method for Continuous Monitoring of Winter Road Surface Conditions. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 47, n. 10 (October 2020). (2020):
- A geostatistical approach to winter road surface condition estimation using mobile RWIS data. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 46, n. 6 (June 2019). (2019):
- (2015): Identification of crash hotspots using kernel density estimation and kriging methods: a comparison. In: Journal of Modern Transportation, v. 23, n. 2 (June 2015).
- (2013): Evaluation of alternative criteria for determining the optimal location of RWIS stations. In: Journal of Modern Transportation, v. 21, n. 1 (March 2013).
- risk-based approach to winter road surface condition classification. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 44, n. 3 (March 2017). (2017):
- Spatiotemporal variability of road weather conditions and optimal RWIS density — an empirical investigation. In: Canadian Journal of Civil Engineering / Revue canadienne de génie civil, v. 44, n. 9 (September 2017). (2017):