| Crash severity analysis for low-speed roads using structural equation modeling considering shoulder-and pavement-distress conditions S Barman, R Bandyopadhyaya Journal of transportation engineering, Part A: Systems 146 (7), 04020065, 2020 | 16 | 2020 |
| Alternative method for identifying crash hotspot using detailed crash information from First Information Report (FIR) S Barman, R Bandyopadhyaya Transportation in developing economies 7, 1-13, 2021 | 6 | 2021 |
| Modelling crash severity outcomes for low speed urban roads using back propagation–Artificial neural network (BP–ANN)–A case study in Indian context S Barman, R Bandyopadhyaya IATSS research 47 (3), 382-400, 2023 | 5 | 2023 |
| Understanding key behavioral factors affecting road traffic citation and crash involvement of professional bus and passenger van drivers using a modified driver behavior … V Bandyopadhyaya, R Bandyopadhyaya, S Barman International journal of occupational safety and ergonomics 29 (4), 1486-1503, 2023 | 3 | 2023 |
| Analyzing urban midblock crash severity outcomes using proposed three-step pattern clustering S Barman, R Bandyopadhyaya Journal of transportation engineering, Part A: Systems 149 (7), 05023003, 2023 | 3 | 2023 |
| Crash severity analysis for mixed lane urban road considering shoulder distress condition using SEM and MARS model: a case study in Patna, India S Barman, R Bandyopadhyaya Innovative Infrastructure Solutions 9, 1-17, 2023 | | 2023 |
| De-carbonization and Environmental Planning Roadmap for Rourkela Steel City R Sen., R Bandyopadhyaya, S Bansal, S Barman, S Sio | | 2022 |
| Detailed Safety Analysis of Low Speed Urban Roads Investigation of Factors and Methodologies S Barman Patna, 0 | | |
Ranja BandyopadhyayaAssociate Professor, NIT PatnaVerified email at nitp.ac.in
