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