Proceedings

Scopus-Indexed Proceedings & Book Chapters

1.  Maiti, N., and Chilukuri, B.R., "Traffic Signal Control for an Isolated Intersection Using Reinforcement Learning," 2021 International Conference on Communication Systems & Networks (COMSNETS), IEEE Xplore, Bangalore, India, 2021, pp. 629-633, doi: 10.1109/COMSNETS51098.2021.9352834 [PDF]

2.  Maiti, N., and Chilukuri, B.R., Improved numerical solution of inhomogeneous ARZ-higher-ordered traffic flow model, Proceedings of 7th Conference of the Transportation Research Group of India (CTRG 2023), Springer Nature, Volume-2, https://doi.org/10.1007/978-981-96-1037-2_28 [PDF]

3.  Maiti, N., Seppecher, M., and Leclercq, L., Upscaling Macroscopic Fundamental Diagram Estimation From the Equipped to Full Networks, 13th Symposium of the European Association for Research in Transportation (hEART), Munich, 2025, https://transp-or.epfl.ch/heart/2025/abstracts/hEART_2025_shortpaper_107.pdf

Conference Presentations

1.  Maiti, N., Link-level Macroscopic Models for Mixed Traffic: An Overview of Existing Research and Future Research Directions, TRBAM-26-03320, Transportation Research Board 105th Meeting, Washington D.C., 2026

2.  Maiti, N., Seppecher, M., and Leclercq, L., Enhancing Macroscopic Fundamental Diagram Estimation in Urban Networks with Sparse Sensors: A Hierarchical and Spatial Imputation Approach, TRB Traffic Flow Theory Committee Meeting ACP 50, Cairns, Australia, 2025, https://hal.science/hal-05266878/

3.  Maiti, N., Seppecher, M., and Leclercq, L., Upscaling Macroscopic Fundamental Diagram Estimation From the Equipped to Full Networks, hEART, Munich, 2025, https://hal.science/hal-05114274/

4.  Maiti, N., Seppecher, M., and Leclercq, L., Unveiling Challenges in Empirical Estimation of Multimodal Network Macroscopic Fundamental Diagrams: A Data Fusion Perspective, TRBAM-25-03306,  Washington D.C., 2025 (Best paper- Greenshields Award from ACP50), https://hal.science/hal-04903747/

5.  Maiti, N., and Chilukuri, B.R., Improved numerical solution of inhomogeneous ARZ-higher-order traffic flow model, 7th Conference of the Transportation Research Group of India (CTRG), 2023.

6.  Maiti, N., and Chilukuri, B.R., "Does Anisotropy Hold In Mixed Traffic Conditions?, TRBAM-24-03007, Transportation Research Board 103rd Annual Meeting, Washington D.C., 2024.

7.  Maiti, N., Laval, J.A., and Chilukuri, B.R., Universality Of Area Occupancy-Based Fundamental Diagrams In  Mixed Traffic, TRBAM-24-06011, Transportation Research Board 103rd Annual Meeting, Washington D.C., 2024.

8.  Maiti, N., and Chilukuri, B.R., Empirical investigation of fundamental diagrams in mixed traffic, accepted for presentation, TRBAM-22-04880, Transportation Research Board 101th Annual Meeting, 2022.

9.  Maiti, N., and Chilukuri, B.R., Effect of vehicle composition on fundamental diagrams, accepted for presentation at the 6th Conference of the Transportation Research Group of India (CTRG), 2022. (Best paper award)

10.   ​Maiti, N., Krishna, Abirami A., Deepak S, and Chilukuri, B.R., Estimation of Traffic Conditions along Highways Using Wi-Fi Technology, 6th Annual ITS Workshop, COMSNETS, 2020

11.   ​ Prakash, V., Maiti, N., and Chilukuri, B.R., Modeling Truck-Lanes in Heterogeneous Traffic, 5th Conference of the Transportation Research Group of India (CTRG), 2019