Journals

1.  Maiti, N., and Chilukuri, B.R., An areal continuum model for mixed traffic conditions, Physica A: Statistical Mechanics and its Applications, 2026., 10.1016/j.physa.2026.131465  (IF-3.1, Q1) [PDF]

1.  Maiti, N., Seppecher, M., and Leclercq, L., Scaling Methods to Estimate Macroscopic Fundamental Diagrams in Urban Networks with Sparse Sensor Coverage, Transportation Research Part C: Emerging Technologies,  2025, https://doi.org/10.1016/j.trc.2025.105213, (IF-10, Q1) [PDF] [Code]

2.  Maiti, N., Seppecher, M., and Leclercq, L., Challenges in Calibrating Multimodal Network Macroscopic Fundamental Diagrams: A Review and Definition of Data Fusion Pipeline, European Transport Research Review, 2025, https://doi.org/10.1186/s12544-025-00750-9 [PDF][Code]  (IF-5.2, Q1)

3.  Maiti, N.,  and Leclercq, L., Estimating Spatial Mean Speeds from Local Sensors: A Machine Learning Approach, Data Science for Transportation, 7.1, 2025: 6 https://doi.org/10.1007/s42421-025-00120-w  (Scopus indexed-new journal) [PDF] [Code]

1.  Maiti, N., Laval, J.A., and Chilukuri, B.R., Universality of area occupancy-based fundamental diagrams in mixed traffic, Physica A: Statistical Mechanics and its Applications, 2024, https://doi.org/10.1016/j.physa.2024.129692  (IF-3.1, Q1) [PDF]

1.  Maiti, N., and Chilukuri, B.R., Empirical Investigation of Fundamental Diagrams in Mixed Traffic, IEEE Access, vol. 11, pp. 13293-13308, 2023, https://doi.org/10.1109/ACCESS.2023.3242971 (IF-3.9, Q1) [PDF][Code]

2.  Maiti, N., and Chilukuri, B.R., Estimation of Local Traffic Conditions Using Wi-Fi Sensor Technology, Journal of Intelligent Transportation Systems, 2023, doi: https://doi.org/10.1080/15472450.2023.2177103 (IF-3.7, Q1) [PDF]

3.  Maiti, N., and Chilukuri, B.R., Does Anisotropy Hold in Mixed Traffic Conditions?, Physica A: Statistical Mechanics and its Applications, 2023, doi: https://doi.org/10.1016/j.physa.2023.129336 (IF-3.1, Q1) [PDF][Code]