- P. Chakraborty, C. Hegde, and A. Sharma. Data-driven parallelizable traffic incident detection using spatio-temporally denoised robust thresholds. Transportation Research-Part C, vol. 105, p81-99, August 2019. https://doi.org/10.1016/j.trc.2019.05.034
- P. Chakraborty and A. Sharma. Public Opinion Analysis of Transportation Policy using Social Media Data: Case Study on the Delhi Odd-Even Policy, Transportation in Developing Economies, vol. 5, March 2019. https://doi.org/10.1007/s40890-019-0074-8
- P. Chakraborty, Y.O. Adu-Gyamfi, S. Poddar, V. Ahsani, A. Sharma, and S Sarkar. Traffic Congestion Detection from Camera Images using Deep Convolution Neural Networks. Transportation Research Record: Journal of the Transportation Research Board, vol. 2672, no. 45, p222-231, December 2018. https://doi.org/10.1177/0361198118777631.
- M. Amin-Naseri, P. Chakraborty, A. Sharma, S.B. Gilbert, and M. Hong. Evaluating the Reliability, Coverage, and Added Value of Crowdsourced Traffic Incident Reports from Waze. Transportation Research Record: Journal of the Transportation Research Board, vol. 2672, no. 43, p34-43, December 2018. https://doi.org/10.1177/0361198118790619.
- P. Chakraborty and P. Chakroborty. Empirical analysis of short period traffic counts and their efficiency: The case of Indian traffic. Transportation Planning and Technology, vol. 40, no. 7, p812-827, June 2017. https://doi.org/10.1080/03081060.2017.1340021
- P. Chakroborty, R. Gill, and P. Chakraborty. Analysing queueing at toll plazas using a coupled, multiple-queue, queueing system model: application to toll plaza design, Transportation Planning and Technology, vol. 39, no. 7, p675-692, July 2016. https://doi.org/10.1080/03081060.2016.1204090
- P. Chakraborty, J. Merickel, V. Shah, A. Sharma, C. Hegde, C. Desouza, A. Drincic, P. Gunaratne, and M. Rizzo. Quantifying vehicle control from physiology in type 1 diabetes. Traffic Injury Prevention.
- S. Poddar, P. Chakraborty, A. Sharma, S. Knickerbocker, and N. Hawkins. Massively parallelizable approach for evaluating signalized arterial performance using probe-based data. Journal of Intelligent Transportation Systems.
- V. Shah, J. Merickel, P. Chakraborty, C. Hegde, A. Sharma, P. Gunaratne, A. Drincic, C. Desouza, and M. Rizzo (Accepted). Quantifying driver speed behavior from real-time physiology in type 1 diabetes. 5th International Symposium on Future Active Safety Technology, September 2019.
- P. Chakraborty, A. Sharma, and C. Hegde. Freeway Traffic Incident Detection from Cameras: A Semi-Supervised Learning Approach, 2018 21st International Conference on Intelligent Transportation Systems (ITSC), pp. 1840-1845., December 2018. doi:10.1109/ITSC.2018.8569426
- M. Naphade, M.C. Chang, A. Sharma, D.C. Anastasiu, V. Jagarlamudi, P. Chakraborty, T. Huang, S. Wang, M.Y. Liu, R. Chellappa, J.N. Hwang, S. Lyu. The 2018 NVIDIA AI City Challenge, IEEE Conference on Computer Vision and Pattern Recognition Workshops, June 2018.
- S. Poddar, K. Ozcan, P. Chakraborty, V. Ahsani, A. Sharma, and S. Sarkar. Comparison of machine learning algorithms to determine traffic congestion from camera images, Transportation Research Board 96th Annual Meeting, January 2018.
- P. Chakraborty, C. Hegde, and A. Sharma. Trend Filtering in Network Time Series, with Applications to Traffic Incident Detection, NIPS Time Series Workshop (TSW), December 2017.
- P Chakraborty, J.R. Hess, A. Sharma, and S. Knickerbocker. Outlier mining based traffic incident detection using big data analytics, Transportation Research Board 96th Annual Meeting, January 2017.
- P. Chakraborty and P. Chakroborty. Studying the effectiveness of using fuel sales as a proxy for estimating seasonal factors of traffic, 3rd Conference of Transportation Research Group of India, December 2015.
- P. Chakraborty and P. Chakroborty. Estimation of Annual Average Daily Traffic (AADT) for Indian Highways, Transportation Research Board 94th Annual Meeting, January 2015.