Published

Highlights

• Gap parameters like critical gaps and follow-up times are essential for optimizing traffic flow and safety across roundabout types.

• The study evaluates single-lane, multi-lane, and turbo roundabouts, highlighting the unique dynamics of each configuration.

• Incorporates computer simulations, empirical observations, and mathematical models to analyze gap parameters effectively.

• Traces the evolution of roundabout designs and emphasizes the importance of region-specific adaptations based on traffic conditions and driver behavior.

Hassan, M., Al Nafees, A., Shraban, S. S., Mahin, H. D., Paul, A., & Ki, A. H. (2024). A comprehensive review on the impact of gap parameters for multiple types of roundabouts in different traffic conditions. International Journal of Integrated Engineering (IJIE), 16(9), 1-20. https://doi.org/10.30880/ijie.2024.16.09.001 

Highlights

• Developed a robust traffic monitoring system for real-time vehicle detection and classification.

• Utilized YOLOv8 with OpenCV for enhanced precision and computational efficiency.

• Achieved remarkable accuracy in real-world highway traffic conditions.

• Proposed a solution to improve road safety and prevent accidents.

Hassan, M., Mahin, H. D., Jusoh, M., Al Nafees, A., & Paul, A. (2024). Vehicle class detection and counting on a Malaysian road using YOLOv8 and OpenCV. IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET), Sabah, Malaysia, August 26–28, 2024. https://doi.org/10.1109/IICAIET62352.2024.10729957

Highlights

• Effectiveness of Metering Signals: The study demonstrated that metering signals significantly improved traffic flow at unbalanced roundabouts. During the 4:30 PM scenario, the West Lane improved from LOS F to LOS D, and the North Lane from LOS F to LOS B when signals were placed at the South Lane with detectors at 240 meters.

• Optimal Detector Placement: The simulation identified that the optimal detector placement for the 12:00 PM scenario was 240 meters from the stop line, while for the 4:30 PM scenario, the best performance was achieved with detectors at 350 meters from the stop line. These placements helped to minimize queue lengths and vehicle delays.

• Reduction in Emissions and Fuel Consumption: After implementing signal control, emissions (CO, NOx, VOC) and fuel consumption were significantly reduced, particularly on the South and East Lanes. For example, CO emissions on the South Lane dropped from 92.9 g to 53.6 g during the 12:00 PM scenario.

• Statistical Validation: The VISSIM model was statistically validated using RMSE and paired t-tests. The results showed a notable reduction in vehicle delay and emissions, with p-values < 0.05, confirming the significant impact of the metering signals.

Hassan, M., An, H. K., Mahin, H. D., Al Nafees, A., Shraban, S. S., & Paul, A. (2025). Investigating the performance of metering methods in managing unbalanced roundabouts using VISSIM. ASEAN Journal of Scientific and Technological Reports, 28(2), e255674-e255674.