Selected Publications 

Peer-Reviewed Journal Publications

1. Kutela, B., H. Shita, J. H. Salum, D. Mlawa, A. Das, and D. Chimba. Exploring the Utilization of Electric-vehicles’ Free Public Charging Facilities in Small Towns: A Case of the Town of Cary, North Carolina. Case Studies on Transport Policy, Vol. 15, No. March, 2024. https://doi.org/10.1016/j.cstp.2023.101142 

2. Khan, M. N., A. Das, and M. M. Ahmed. Prediction of Truck-Involved Crash Severity on Rural Mountainous Freeway Using Transfer Learning with ResNet-50 Deep Neural Network. ASCE Journal of Transportation Engineering, Part A: Systems, Vol. 150, No. 2, 2023. https://doi.org/10.1061/JTEPBS.TEENG-7304 

3. Das, A. and M. M. Ahmed. Structural Equation Modeling Approach for Investigating Drivers’ Aggressive Behavior in Clear and Adverse Weather Using SHRP2 Naturalistic Driving Data. Journal of Transportation Safety & Security, 2022. https://doi.org/10.1080/19439962.2022.2155744 

4. Das, A., M. N. Khan, and M. M. Ahmed. Deep Learning Approach for Detecting Lane Change Maneuvers Using SHRP2 Naturalistic Driving Data. Transportation Research Record: Journal of the Transportation Research Board, 2022. https://doi.org/10.1177/03611981221103229 

5. Das, A. and M. M. Ahmed. Weather-based Lane Change Microsimulation Parameters for Safety and Operational Performance Evaluation of Weaving and Basic Freeway Segments. Transportation Research Record: Journal of the Transportation Research Board, 2022. https://doi.org/10.1177/03611981221096111

6. Das, A., M. N. Khan, M. M. Ahmed, and S. S. Wulff. Cluster Analysis and Multi-level Modeling for Evaluating the Impact of Rain on Aggressive Lane-changing Characteristics Utilizing Naturalistic Driving Data. Journal of Transportation Safety & Security, 2022. https://doi.org/10.1080/19439962.2022.2069896 

7. Ahmed, M. M., M. N. Khan, A. Das, and S. Dadvar. Global Lessons Learned from Naturalistic Driving Studies to Advance Traffic Safety and Operation Research: A Systematic Review. Accident Analysis & Prevention, Vol. 167, No. 106568, 2022. https://doi.org/10.1016/j.aap.2022.106568  

8. Das, A. and M. M. Ahmed. Adjustment of Key Lane Change Parameters to Develop Microsimulation Models for Representative Assessment of Safety and Operational Impacts of Adverse Weather Using SHRP2 Naturalistic Driving Data. Journal of Safety Research, Vol. 81, No. June, 2022, pp. 9–22. https://doi.org/10.1016/j.jsr.2022.01.002 

9. Khan, M. N., A. Das, M. M. Ahmed, and S. S. Wulff. Multilevel Weather Detection Based on Images: A Machine Learning Approach with Histogram of Oriented Gradient and Local Binary Pattern Based Features. Journal of Intelligent Transportation Systems: Technology, Planning, and Operations, Vol. 25, No. 5, 2021, pp. 513–532. https://doi.org/10.1080/15472450.2021.1944860

10.  Das, A. and M. M. Ahmed. Machine Learning Approach for Predicting Lane-Change Maneuvers Using the SHRP2 Naturalistic Driving Study Data. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2675, No. 9, 2021, pp. 574–594. https://doi.org/10.1177/03611981211003581

11. Khan, M. N., A. Das, and M. M. Ahmed. Non-Parametric Association Rules Mining and Parametric Ordinal Logistic Regression for an In-Depth Investigation of Driver Speed Selection Behavior in Adverse Weather Using SHRP2 Naturalistic Driving Study Data. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2674, No. 11, 2020, pp. 101–119. https://doi.org/10.1177/0361198120941509

12. Das, A., M. N. Khan, and M. M. Ahmed. Detecting Lane Change Maneuvers Using SHRP2 Naturalistic Driving Data: A Comparative Study Machine Learning Techniques. Accident Analysis & Prevention, Vol. 142, No. 105578, 2020, pp. 1–17. https://doi.org/10.1016/j.aap.2020.105578

13. Das, A., M. N. Khan, and M. M. Ahmed. Nonparametric Multivariate Adaptive Regression Splines Models for Investigating Lane-Changing Gap Acceptance Behavior Utilizing Strategic Highway Research Program 2 Naturalistic Driving Data. Transportation Research Record: Journal of the Transportation Research Board, Vol. 2674, No. 5, 2020, pp. 223–238. https://doi.org/10.1177/0361198120914293 (‘Most Cited Articles’  in journal, 2021-2023)

14. Das, A., and M. M. Ahmed. Exploring the Effect of Fog on Lane-Changing Characteristics utilizing the SHRP2 Naturalistic Driving Study Data. Journal of Transportation Safety & Security, Vol. 13, No. 5, 2021, pp. 477–502. (First Published August, 2019) https://doi.org/10.1080/19439962.2019.1645777

15. Das, A., M. M. Ahmed, and A. Ghasemzadeh. Using Trajectory-Level SHRP2 Naturalistic Driving Data for Investigating Driver Lane-Keeping Ability in Fog: An Association Rules Mining Approach. Accident Analysis & Prevention, Vol. 129, 2019, pp. 250–262. https://doi.org/10.1016/j.aap.2019.05.024

16. Das, A., A. Ghasemzadeh, and M. M. Ahmed. Analyzing the Effect of Fog Weather Conditions on Driver Lane-Keeping Performance using the SHRP2 Naturalistic Driving Study Data. Journal of Safety Research, Vol. 68, No. February, 2019, pp. 71–80. https://doi.org/10.1016/j.jsr.2018.12.015 (‘Most Cited Articles’  in journal, 2020-2022)

17. Barua, S., N. Haque, A. Das, M. Hadiuzzaman, and S. Hossain. Automatic Multiregime Fundamental Diagram Calibration Using Likelihood Estimation. International Journal for Traffic and Transport Engineering (IJTTE), Vol. 7, No. 1, 2017, pp. 79–92. http://dx.doi.org/10.7708/ijtte.2017.7(1).06

18. Barua, S., A. Das, and K. C. Roy. Estimation of Traffic Arrival Pattern at Signalized Intersection Using ARIMA Model. International Journal of Computer Applications (IJCA), Vol. 128, No. 1, 2015, pp. 28–32.

19. Barua, S., A. Das, and M. J. Hossain. Estimation of Traffic Density to Compare Speed-Density Models with Moving Observer Data. International Journal of Research in Engineering and Technology (IJRET), Vol. 4, No. 8, 2015, pp. 471–474.

20. Das, A., S. Barua, M. N. Khan, and M. M. Rahman. An Evaluation of Life Cycle Cost Analysis of Airport Pavement. International Journal of Engineering Research & Technology (IJERT), Vol. 4, No. 8, 2015, pp. 352–356.

21. Khan, M. N., S. Barua, and A. Das. A Study on Student’s Travel Behavior in Perspectives of School Bus Service. International Journal of Advanced Engineering and Nano Technology (IJAENT), Vol. 2, No. 8, 2015, pp. 5–10.

Peer-Reviewed Conference Proceedings

1. Wei, Z, A. Das, I. Tsapakis, and S. Turner. Estimating Annual Average Daily Non-Motorized Traffic: A Methodological Approach for Short-Duration Counts. Proceedings of the  103rd  Transportation Research Board Annual Meeting, 2024.

2. Das, A., M. N. Khan, and M. M. Ahmed. Evaluating the Impact of Cooperative Automated Transportation on Work Zone Safety and Operation Using Weather-Sensitive Microsimulation Approach. Proceedings of the  102nd  Transportation Research Board Annual Meeting, 2023.

3. Das, A. and M. M. Ahmed. Investigating Drivers’ Risky Behavior in Clear and Adverse Weather Using SHRP2 Naturalistic Driving Data: A Structural Equation Modeling Approach. Proceedings of the  102nd Transportation Research Board Annual Meeting, 2023.

4. Khan, M. N., A. Das, and M. M. Ahmed. Prediction of Truck-Involved Crash Severity on Rural Mountainous Freeway Using Transfer Learning with ResNet-50 Deep Neural Network. Proceedings of the  102nd  Transportation Research Board Annual Meeting, 2023.

5. Das, A. and M. M. Ahmed. Investigating Drivers’ Aggressive Behavior in Clear and Adverse Weather using SHRP2 Naturalistic Driving Data: A Structural Equation Modeling Approach. ASCE International Conference on Transportation & Development (ICTD 2022).

6. Das, A., M. N. Khan, and M. M. Ahmed. Estimation of Macroscopic Traffic Parameters Under Adverse Weather Conditions: A Case Study in Wyoming. ASCE International Conference on Transportation & Development (ICTD 2022). https://ascelibrary.org/doi/abs/10.1061/9780784484333.023 

7. Khan, M. N., A. Das, and M. M. Ahmed. Development and Assessment of a Weather-Responsive Variable Speed Limit Algorithm for Rural Freeways. ASCE International Conference on Transportation & Development (ICTD 2022). https://ascelibrary.org/doi/abs/10.1061/9780784484333.016 

8. Khan, M. N., A. Das, and M. M. Ahmed. Image-based Rain Detection with Local Binary Pattern-Based Features Using Machine Learning. ASCE International Conference on Transportation & Development (ICTD 2022). https://ascelibrary.org/doi/abs/10.1061/9780784484319.006 

9. Das, A. and M. M. Ahmed. Weather-based Lane Change Microsimulation Parameters for Safety and Operational Performance Evaluation of Freeway Facilities Utilizing SHRP2 Naturalistic Driving Data. Proceedings of the 101st Transportation Research Board Annual Meeting, 2022.

10. Das, A., M. N. Khan, and M. M. Ahmed. A Deep Learning Approach for Detecting Lane Change Maneuvers Using SHRP2 Naturalistic Driving Data. Proceedings of the 101st Transportation Research Board Annual Meeting, 2022.

11. Das, A., and M. M. Ahmed. Prediction of Lane Change Maneuvers using the SHRP2 Naturalistic Driving Study Data: A Machine Learning Approach. Proceedings of the 100th Transportation Research Board Annual Meeting, 2021.

12. Das, A., M. N. Khan, and M. M. Ahmed. Nonparametric Multivariate Adaptive Regression Splines Models for Investigating Lane-Changing Gap Acceptance Behavior Utilizing SHRP2 Naturalistic Driving Data. Proceedings of the 99th Transportation Research Board Annual Meeting, 2020.

13. Das, A., M. N. Khan, M. M. Ahmed, and S. S. Wulff. Evaluating the Impact of Rain on Lane-Changing Behavior Using Naturalistic Driving Data: Cluster Analysis and Multi-Level Modeling Approach. Proceedings of the 99th Transportation Research Board Annual Meeting, 2020.

14. Das, A., M. N. Khan, and M. M. Ahmed. Detection of Lane Change Maneuvers Using the SHRP2 Naturalistic Driving Study Data: A Machine Learning Approach. Proceedings of the 99th Transportation Research Board Annual Meeting, 2020.

15. Khan, M. N., A. Das, and M. M. Ahmed. In-Depth Investigation of Driver Speed Selection Behavior in Adverse Weather Using SHRP2 Naturalistic Driving Study Data: Non-Parametric Association Rules Mining and Parametric Ordinal Logistic Regression Approach. Proceedings of the 99th Transportation Research Board Annual Meeting, 2020.

16. Das, A., M. N. Khan, M. Ahmed, A. Ghasemzadeh, and S. Gaweesh. Structural Equation Modeling Approach for Investigating Driver Behavior in Adverse Weather Conditions using Trajectory-level SHRP2 Naturalistic Driving Data. Road Safety and Simulation (RSS) Conference, 2019. 

17. Khan, M. N., A. Das, A. Ghasemzadeh, and M. Ahmed. Real-Time Weather Detection System with Local Binary Pattern based Features using Artificial Neural Network and Random Forest: An Unsupervised Learning Approach. Road Safety and Simulation (RSS) Conference, 2019.

18. Das, A., M. M. Ahmed, and A. Ghasemzadeh. Association Rules Mining Approach for Investigating Driver Lane-keeping Ability in Fog Utilizing Trajectory-level SHRP2 Naturalistic Driving Data. Proceedings of the 98th Transportation Research Board Annual Meeting, 2019.

19. Das, A., and M. M. Ahmed. Investigation of Lane-Changing Characteristics in Fog using the SHRP2 Naturalistic Driving Study Data. Proceedings of the 98th Transportation Research Board Annual Meeting, 2019.

20. Das, A., A. Ghasemzadeh, and M. M. Ahmed. A Comprehensive Analysis of Driver Lane-Keeping Performance in Fog Weather Conditions Using the SHRP2 Naturalistic Driving Study Data. Proceedings of the 97th Transportation Research Board Annual Meeting, 2018.

21. Barua, S., N. Haque, A. Das, M. Hadiuzzaman, and S. Hossain. LIMB: An Application Tool for Calibrating Multi-Regime Fundamental Diagram Using Likelihood Estimation. Proceedings of the 96th Transportation Research Board Annual Meeting, 2017.

22. Das, A., and S. Barua. A Survey for User Attributes on Foot Over Bridges in Perspective on Dhaka City. International Conference on Recent Innovation in Civil Engineering for Sustainable Development (IICSD-2015), 2015.

23. Roy, K. C., A. Das, and S. Barua. A Study on Feasible Traffic Operation Alternatives at Signalized Intersection in Dhaka City. International Conference on Recent Innovation in Civil Engineering for Sustainable Development (IICSD-2015), 2015.

Technical Reports

1. Tsapakis, I., P. Anderson, Z. Wei, S. Turner, A. Das, M. Hallenbeck, B. Chen, and E. Stolz. Methods for Assigning Short-Duration Traffic Volume Counts to Adjustment Factor Groups to Estimate AADT. Final Report NCHRP 07-30, National Cooperative Highway Research Program, 2024. https://doi.org/10.17226/27926 

2. Ahmed, M.M., A. Das, M. N. Khan, M. Sigdel, V. and Maddineni. Integrating Human Behavior Toward the Development of Safer Cooperative Automated Transportation: Implementation of SHRP2 Naturalistic Driving Study. Final Report WY-2404F, Wyoming Department of Transportation, 2023. https://rosap.ntl.bts.gov/view/dot/79428 

3. Ahmed, M.M., M. N. Khan, M. Ahmed, A. Das, and L. Li. Automated Real-Time Weather Detection System using Artificial Intelligence. Final Report WY-2402F, Wyoming Department of Transportation, 2023. https://rosap.ntl.bts.gov/view/dot/75476 

4. Ahmed, M.M., A. Das, M. N. Khan, B. Hammit, and E. Ali. Driver Performance and Behavior in Adverse Weather Conditions: Microsimulation and Variable Speed Limit Implementation of the SHRP2 Naturalistic Driving Study Results-Phase 3. Final Report WY-2105F, Wyoming Department of Transportation, 2021. https://rosap.ntl.bts.gov/view/dot/60907 

5. Ahmed, M. M., A. Ghasemzadeh, B. Hammit, N. Khan, A. Das, E. Ali, R. K. Young, and H. Eldeeb. Driver Performance and Behavior in Adverse Weather Conditions: An Investigation Using the SHRP2 Naturalistic Driving Study Data-Phase 2. Final Report WY-18/05F, U.S. Department of Transportation, 2018. https://rosap.ntl.bts.gov/view/dot/35664 

6. Ahmed, M.M., R. K. Young, A. Ghasemzadeh, B. Hammit, E. Ali, N. Khan, A. Das, and H. Eldeeb. Implementation of SHRP2 Results within the Wyoming Connected Vehicle Variable Speed Limit System: Phase 2 Early Findings Report and Phase 3 Proposal. U.S. Department of Transportation, 2017. (Link)

Conference/Meeting Presentations

1. Ahmed, M. M., A. Das, M. N. Khan. Driver Performance and Behavior in Adverse Weather Conditions: Microsimulation and Variable Speed Limit Implementation of the SHRP2 Naturalistic Driving Study Results. In SHRP 2 Implementation Assistant Program Webinar. https://insight.shrp2nds.us/projectBackground/index 

2. Das, A., M. N. Khan, and M. M. Ahmed. A Deep Learning Approach for Detecting Lane Change Maneuvers Using SHRP2 Naturalistic Driving Data. In ACP50 (Traffic Flow Theory and Characteristics) Lectern Session at the 101st Transportation Research Board Annual Meeting, Washington, D.C., 2022.

3. Das, A. Investigating Driver Lateral Behavior in Adverse Weather Conditions: Machine Learning Techniques using Big Trajectory-level Naturalistic Driving Data. In Doctoral Student Research in Transportation Safety-Hybrid Session at the 99th Transportation Research Board Annual Meeting, Washington, D.C., 2020.

4. Das, A. Investigating Driver Lateral Behavior in Adverse Weather Conditions: Machine Learning Techniques using Big Trajectory-level Naturalistic Driving Data. In Three-Minute Thesis Competition Workshop at the 99th Transportation Research Board Annual Meeting, Washington, D.C., 2020.

5. Das, A., M. N. Khan, and M. M. Ahmed. Detection of Lane Change Maneuvers Using the SHRP2 Naturalistic Driving Study Data: A Machine Learning Approach. In ABJ70 (Artificial Intelligence and Advanced Computing Applications) Lectern Session at the 99th Transportation Research Board Annual Meeting, Washington, D.C., 2020.

6. Das, A., A. Ghasemzadeh, and M. M. Ahmed. A Comprehensive Analysis of Driver Lane-Keeping Performance in Fog Weather Conditions Using the SHRP2 Naturalistic Driving Study Data. In AND40 Visibility Committee Meeting at the 97th Transportation Research Board Annual Meeting, Washington, D.C., 2018.

7. Das, A. Exploration of Lane-keeping and Lane-changing Characteristics in Fog utilizing Trajectory-level SHRP2 Naturalistic Driving Study Data. In Colorado/Wyoming Institute of Transportation Engineers Event, Laramie, Wyoming, 2018.