Pranamesh Chakraborty

Pranamesh Chakraborty

Assistant Professor in IIT Kanpur working on deep learning and big data analytics based solutions of transportation engineering problems

Journal papers

  1. P. K. Sharma & P. Chakraborty. (2025). Evaluation of data collection and annotation approaches of driver gaze dataset. Behavior Research Methods, vol. 57, article. 172. https://doi.org/10.3758/s13428-025-02679-2
  2. P.K. Sharma & P. Chakraborty. (2024). A review of driver gaze estimation and application in gaze behavior understanding. Engineering Applications of Artificial Intelligence, vol. 133, article. 108117. https://doi.org/10.1016/j.engappai.2024.108117
  3. U. Jana, J.P.D. Karmakar, P. Chakraborty, T. Huang, & A. Sharma. (2023). Automated Approach for Computer Vision-Based Vehicle Movement Classification at Traffic Intersections. Future Transportation, vol. 3, issue 2, pp. 708–725. https://doi.org/10.3390/futuretransp3020041.
  4. T. Huang, P. Chakraborty, and A. Sharma. Deep convolutional generative adversarial networks for traffic data imputation encoding time series as images . International Journal of Transportation Science and Technology, March 2023. https://doi.org/10.1016/j.ijtst.2021.10.007
  5. A. Barnwal, P. Chakraborty, A. Sharma, L. Riera-Garcia, K. Ozcan, S. Davami, S. Sarkar, M. Rizzo, J. Merickel Sugar and stops in drivers with insulin-dependent type 1 diabetes. Accident Analysis & Prevention, August 2022. https://doi.org/10.1016/j.aap.2022.106692
  6. 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, May 2022. https://doi.org/10.1080/15472450.2022.2069497
  7. T. Huang, P. Chakraborty, A. Sharma, and C. Hegde. Large-Scale Data-Driven Traffic Sensor Health Monitoring. Journal of Big Data Analytics in Transportation, September 2021. https://doi.org/10.1007/s42421-021-00049-w
  8. A. K. Haghighat, V. Ravichandra-Mouli, P. Chakraborty, Y. Esfandiari, S. Arabi, and A. Sharma. Applications of Deep Learning in Intelligent Transportation Systems. Journal of Big Data Analytics in Transportation, August 2020. https://doi.org/10.1007/s42421-020-00020-1
  9. 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, September 2019. https://doi.org/10.1080/15389588.2019.1665176
  10. 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
  11. 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
  12. 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.
  13. 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.
  14. 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
  15. 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

Under Review

  1. P. Kumar, A. Mishra, P. Chakraborty, & S. S. Peruru. Deep reinforcement learning-based longitudinal control strategy for automated vehicles at signalised intersections. Engineering Applications of Artificial Intelligence.
  2. S. Singh, P. K. Sharma, & P. Chakraborty. Influence of camera position & fusion of multiple cameras for driver gaze estimation. Transportation Letters: The International Journal of Transportation Research.

Conference papers

  1. A. Mishra, P. Kumar, P. Chakraborty, & S. S. Peruru. (Accepted). Reinforcement learning based car-following model for stop-and-go traffic. 8th Conference of Transportation Research Group of India (CTRG), December 2025.
  2. S. Singh, P. K. Sharma, & P. Chakraborty. (2025). Influence of camera position & fusion of multiple cameras for driver gaze estimation. Transportation Research Board 104th Annual Meeting, January 2025.
  3. P.K. Sharma & P. Chakraborty. (2024). Driver gaze estimation using deep neural network. 15th International Conference on Transportation Planning and Management for Developing Countries (TPMDC), December 2024.
  4. C.B. Jaiswal & P. Chakraborty. (2024). Classifying turning movements using naturalistic driving study data. 15th International Conference on Transportation Planning and Management for Developing Countries (TPMDC), December 2024.
  5. S. Wang, D.C. Anastasiu, Z. Tang, M-C. Chang, Y. Yao, L. Zheng, M. S. Rahman, M.S. Arya, A. Sharma, P. Chakraborty, S. Prajapati, Q. Kong, …, & Rama Chellappa (2024). The 8th AI City Challenge, IEEE Conference on Computer Vision and Pattern Recognition Workshops, June 2024.
  6. S. Jaiswal, P. Chakraborty, T. Huang, & A. Sharma. (2023). Traffic Intersection Vehicle Movement Counts with Temporal and Visual Similarity based Re-Identification. In 2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). IEEE, September 2023.
  7. M. Naphade, S. Wang, D.C. Anastasiu, Z. Tang, M-C. Chang, Y. Yao, L. Zheng, M. S. Rahman, M.S. Arya, A. Sharma, Q. Feng, V. Ablavsky, S. Sclaroff, P. Chakraborty, S. Prajapati, A. Li, S. Li, K. Kunadharaju, S. Jiang, & Rama Chellappa (2023). The 7th AI City Challenge, IEEE Conference on Computer Vision and Pattern Recognition Workshops, June 2023.
  8. S. Bhargava, P. Chakraborty, & V. R. Mouli. Enhancing vehicle detection accuracy under low light conditions using infrared images (2022). Transportation Research Board 101st Annual Meeting, January 2022.
  9. U. Jana, J. Karmakar, P. Chakraborty, T. Huang, D. Ness, D. Ritcher, & A. Sharma (2022). Automated Approach for Computer Vision-based Vehicle Movement Classification at Traffic Intersections. Transportation Research Board 101st Annual Meeting, January 2022.
  10. M. Naphade, S. Wang, D. C. Anastasiu, Z. Tang, M. C. Chang, X. Yang, Y. Yao, L. Zheng, P. Chakraborty, C. E. Lopez, A. Sharma, Q. Feng, V. Ablavsky, & S. Sclaroff. The 5th AI City Challenge, IEEE Conference on Computer Vision and Pattern Recognition Workshops, June 2021.
  11. N. Agarwal, A. Jangid, A. Sharma, N. Kumar, M. Kumar, P. Kumar, & P. Chakraborty. Camera-based Smart Traffic State Detection in India using Deep Learning Models. 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS), February 2021.
  12. M.Naphade, S.Wang, D.C. Anastasiu, Z.Tang, M-C.ang, X.Yang, L.Zheng, A.Sharma, R.Chellappa, P. Chakraborty. The 4th AI City Challenge, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, June 2020.
  13. V. Shah, J. Merickel, P. Chakraborty, C. Hegde, A. Sharma, P. Gunaratne, A. Drincic, C. Desouza, and M. Rizzo. Quantifying driver speed behavior from real-time physiology in type 1 diabetes. 5th International Symposium on Future Active Safety Technology, September 2019.
  14. M. Naphade, Z. Tang, M.C. Chang, D.C. Anastasiu, A. Sharma, R. Chellappa, S. Wang, P. Chakraborty, T. Huang, J.N. Hwang, S. Lyu. The 2019 NVIDIA AI City Challenge, IEEE Conference on Computer Vision and Pattern Recognition Workshops, June 2019.
  15. 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
  16. 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.
  17. 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.
  18. 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.
  19. 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.
  20. 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.
  21. P. Chakraborty and P. Chakroborty. Estimation of Annual Average Daily Traffic (AADT) for Indian Highways, Transportation Research Board 94th Annual Meeting, January 2015.