Sangram Krishna Nirmale

Journal Articles - Published/Accepted

  1. Nirmale, S. K., Pinjari, A. R., and Chakroborty, P. (2023). A Two-Dimensional, Multi-Vehicle Anticipation, and Multi-Stimuli Based Latent Class Framework to Model Driver Behaviour in Heterogeneous, Disorderly Traffic Conditions. Transportation Research Part C: Emerging Technologies, 160. [Link]
  2. Deepa, L., Pinjari, A.R., Nirmale, S.K., Biswas, M., and Srinivasan, K. K.(2023). The adverse impact of headway variability on bus transit ridership: Evidence from Bengaluru, India. Transport Policy. 141, 343-356. [Link]
  3. Nirmale, S. K., Sharma, A. and Pinjari A.R. (2023). Multi-vehicle anticipation-based driver behavior models: a synthesis of existing research and future research directions. Transportation Letters. [Link]
  4. Nirmale, S. K., and Pinjari A.R. (2023). Discrete choice models with multiplicative stochasticity in choice environment variables: Application to accommodating perception errors in driver behaviour models. Transportation Research Part B: Methodological. [Link]
  5. Nirmale, S. K., Pinjari, A. R., and Sharma, A. (2022). A panel data-based discrete-continuous modelling framework to analyse longitudinal driver behaviour in homogeneous and heterogeneous disordered traffic conditions. Transportation Letters. 1-14. [Link]
  6. Deepa, L., Pinjari, A.R., Nirmale, S.K., Srinivasan, K.K., and Rambha, T. (2022). A direct demand model for bus transit ridership in Bengaluru, India. Transportation Research Part A: Policy and Practice. 163, 126-147. [Link]
  7. Nirmale, S. K., Pinjari, A. R., and Sharma, A. (2021). A discrete-continuous multi-vehicle anticipation model of driving behaviour in heterogeneous disordered traffic conditions. Transportation Research Part C: Emerging Technologies, 128. [Link]

Recently Communicated Papers in Journals

  1. Malik N. F., Saxena S., Pinjari A. R. Gopalakrishnan R., and Nirmale, S. K. (2023). An Analysis of Mode Choice Decisions
  2. Sharma A., Pinjari A. R., Nirmale, S. K., and Sundaresan R. (2023). A Human Factors-Based Modeling Framework to Mimic Bus Driver Behavior

Peer-reviewed Papers at Conferences (Full Papers)

  1. Nirmale, S. K., Pinjari, A. R., and Chakroborty, P. (2023). A Two-Dimensional, Multi-Vehicle Anticipation, and Multi-Stimuli Based Latent Class Framework to Model Driver Behaviour in Heterogeneous Disorderly Traffic Conditions. Accepted for presentation at the 102nd Transportation Research Board (TRB) Annual Meeting, Washington D.C., USA, January 2023. Also, presented at the 14th Transportation Planning and Implementation Methodologies for Developing Countries (TPMDC). Indian Institute of Technology (IIT) Bombay, India, December 2022.
  2. Sharma, A., Pinjari, A. R., Sundaresan R., and Nirmale, S. K. (2023). A Human Factors Based Modelling Framework to Mimic Bus Driver Behaviour. Accepted for presentation at the 102nd Transportation Research Board (TRB) Annual Meeting, Washington D.C., USA, January 2023.
  3. Nirmale, S. K., Pinjari, A. R., and Sharma, A. (2022). Modelling Homogeneous and Heterogeneous Disordered Traffic Conditions Using A Discrete-Continuous Multi-Vehicle Anticipation Based Driving Behaviour Model. Accepted for presentation at the 101st Transportation Research Board (TRB) Annual Meeting, Washington D.C., USA, January 2022.
  4. Deepa, L., Pinjari, A. R., Nirmale, S. K., Biswas M., and Srinivasan, K.K. (2022). The adverse impact of headway variability on bus transit ridership: Evidence from Bengaluru, India. Presented at 14th Transportation Planning and Implementation Methodologies for Developing Countries (TPMDC). Indian Institute of Technology (IIT) Bombay, India, December 2022.
  5. Nirmale, S. K., and Pinjari, A. R. (2020). Discrete-Continuous Choice Framework to Model Driver Behaviour in Heterogeneous Traffic Conditions. Presented at 12th International Conference on COMmunication Systems and NETworkS (COMSNETS), Bengaluru, India, January 2020.
  6. Nirmale, S. K., and Pinjari, A. R. (2020). Driver Behaviour Models with Perception Errors: A Choice Modelling Framework with Stochastic Variables. Presented at 99th Transportation Research Board (TRB) Annual Meeting, Washington D.C., USA, January 2020.
  7. Nirmale, S. K., Pinjari, A. R., and Munigety, C. R. (2019). A copula-based joint multinomial discrete-continuous choice framework to model driver behaviour in mixed traffic conditions. Presented at 15th World Conference on Transport Research, Indian Institute of Technology, Mumbai, India, May 2019.
  8. Nirmale, S. K. and Ghuge, V. V. (2016). Developing a Public Transport Accessibility Model (PTAM) to assess workplace accessibility in Kolhapur city, Maharashtra, India. In 12th Transportation Planning and Implementation Methodologies for Developing Countries (TPMDC). Indian Institute of Technology (IIT) Bombay, India, December 2016.
  9. Nirmale, S. K., and Ghuge, V. V. (2015). Introducing Mechanism for Improving Transport Infrastructure in Kolhapur City for Achieving Smart and Sustainable Development. Presented at National Conference on Sustainable Built Environment. Indian Institute of Technology, Roorkee, India, April 2015.

Peer-reviewed Papers at Conferences (Extended Abstracts)

  1. Nirmale, S. K., Pinjari, A. R., and Sharma, A. (2022). On the capability of random utility maximisation theory-based driver behaviour models of heterogeneous disordered traffic to reproduce the fundamental macroscopic properties of traffic flow. Presented at Traffic and Granular Flow (TGF), Indian Institute of Technology Delhi, India, October 2022.
  2. Sharma, A., Pinjari, A. R., Sundaresan R., and Nirmale, S. K. (2022). A human factors based modelling framework to mimic bus driver behaviour. Presented at Traffic and Granular Flow (TGF), Indian Institute of Technology Delhi, India, October 2022.
  3. Nirmale, S. K. and Pinjari, A. R. (2019). Multi-Stimuli Driver Behaviour Models with Perception Errors: An Integrated Latent Variable and Discrete-Continuous Framework with Empirical Applications to Heterogeneous and Homogeneous Traffic Conditions. Presented at 6th International Choice Modelling Conference, Kobe, Japan, August 2019.
  4. Nirmale, S. K. and Pinjari, A. R. (2018). Influence Zone, Multi-Stimuli, and Two-Dimensional (IZMS-2D) Driving Behaviour in Heterogenous Traffic Conditions: An Econometric Framework and Exploratory Analysis of Driving Behaviours in India. Presented at 15th International Conference on Travel Behaviour Research (IATBR), Santa Barbara, California, USA, July 2018.

Dissertation and Thesis Documents

  1. Nirmale, S. K. (2022). Multi-vehicle anticipation-based models for describing driver behaviour in heterogeneous and disorderly traffic conditions. Doctoral Dissertation, Indian Institute of Science, Bengaluru. [LINK] [PDF]