- (2024): Asphalt Pavement Damage Detection through Deep Learning Technique and Cost-Effective Equipment: A Case Study in Urban Roads Crossed by Tramway Lines. In: Infrastructures, v. 9, n. 2 (27 January 2024).
- A theoretical model for evaluating the impact of connected and autonomous vehicles on the operational performance of turbo roundabouts. In: International Journal of Transportation Science and Technology, v. 14 (June 2024). (2024):
- (2021): Deep Learning and YOLOv3 Systems for Automatic Traffic Data Measurement by Moving Car Observer Technique. In: Infrastructures, v. 6, n. 9 (September 2021).
- Conversion of Existing Roundabouts into Turbo-Roundabouts: Case Studies from Real World. In: Journal of Civil Engineering and Architecture, v. 6, n. 8 (August 2012). (2012):
- Analysis of Kinematic Parameters and Driver Behavior at Turbo Roundabouts. In: Journal of Transportation Engineering, Part A: Systems, v. 144, n. 6 (June 2018). (2018):
- Turbo-Roundabout: Case Study of Driver Behavior and Kinematic Parameters of Light and Heavy Vehicles. In: Journal of Transportation Engineering, Part A: Systems, v. 145, n. 6 (June 2019). (2019):
- Comparative Analysis of Four New Alternative Types of Roundabouts: "Turbo", "Flower", "Target" and "Four-Flyover" Roundabout. In: Periodica Polytechnica Civil Engineering, v. 60, n. 1 ( 2016). (2016):
- Contribution to the platoon distribution analysis in steady-state traffic conditions. In: Periodica Polytechnica Civil Engineering, v. 58, n. 3 ( 2014). (2014):
- The Evaluation of the safety performance of turbo roundabouts by means of a potential accident rate model. In: The Baltic Journal of Road and Bridge Engineering, v. 10, n. 1 (March 2015). (2015):