Journals
Muduli, K., & Ghosh, I. (2023). Prediction of the Future State of Pedestrians While Jaywalking Under Non-Lane-Based Heterogeneous Traffic Conditions. Transportation Research Record, 0(0). https://doi.org/10.1177/03611981231161619
Conferences
Muduli, K., Sahu, V. and Ghosh, I. (2024) ‘Predicting Pedestrian Movement in Unsignalized Crossings: A Contextual Cue-Based Approach’, 2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS), pp. 204–209. Available at: https://doi.org/10.1109/COMSNETS59351.2024.10427345.
Muduli, K., & Ghosh, I. (2024). Prediction of Vehicular Yielding Intention While Approaching a Pedestrian Crosswalk (No. TRBAM-24-01890).
Muduli, K., Maurya, A., & Ghosh, I. (2024) ‘Understanding Heavy Braking in Vehicles While Approaching Pedestrian Crosswalks: A Survival Analysis Perspective’ (No. TRBAM-24-05129), in 103rd Annual Meeting of the Transportation Research Board (TRB) At: Washington D.C. https://annualmeeting.mytrb.org/OnlineProgramArchive/Details/21278
Sahu, D., Muduli, K., & Ghosh, I. (2024). A Copula-Based Approach for Modeling Pedestrian Crash Frequency (No. TRBAM-24-01894).
Panwar, A., Muduli, K., Ali, F., & Ghosh, I. (2024). A Novel Approach Leveraging Augmented Data and State-of-the-Art Detection Models for Efficient Real-Time Road Surveillance (No. TRBAM-24-05128).
Muduli, K., & Ghosh, I. (2023). Prediction of the future state of pedestrians while jaywalking under non-lane-based heterogeneous traffic conditions. Paper presented at the 102nd Annual Meeting of the Transportation Research Board, Washington D.C. Available at https://trid.trb.org/view/2162316
Muduli, K., & Ghosh, I. (2023). ‘Identifying Pedestrian-Vehicle Conflicts: An Anomaly Detection Approach with Traffic Conflict Indicators. In Proceedings of the 7th Conference of Transportation Research Group of India’ (CTRG-2023), Surat, India, 17-20 December 2023
Muduli, K., Sahu, D., & Ghosh, I. (2023, July 20). A GIS-based framework for identification and prioritization of traffic crash hotspots. Paper presented at the World Conference on Transport Research - WCTR 2023, Montreal.