3 papers
cs.LG2025
Accident-Driven Congestion Prediction and Simulation: An Explainable Framework Using Advanced Clustering and Bayesian Networks
Kranthi Kumar Talluri, Galia Weidl, Vaishnavi Kasuluru
Traffic congestion due to uncertainties, such as accidents, is a significant issue in urban areas, as the ripple effect of accidents causes longer delays, increased emissions, and…
cs.ET2025
Green Wave as an Integral Part for the Optimization of Traffic Efficiency and Safety: A Survey
Kranthi Kumar Talluri, Christopher Stang, Galia Weidl
Green Wave provides practical and advanced solutions to improve traffic efficiency and safety through network coordination. Nevertheless, the complete potential of Green Wave syste…
cs.AI2025
Enhancing Safety Standards in Automated Systems Using Dynamic Bayesian Networks
Kranthi Kumar Talluri, Anders L. Madsen, Galia Weidl
Cut-in maneuvers in high-speed traffic pose critical challenges that can lead to abrupt braking and collisions, necessitating safe and efficient lane change strategies. We propose…