- Peer-reviewed Journal Publications
- Book Chapters
- Peer-reviewed Conference Publications
Peer-reviewed Journal Publications
- [J26] L. Kiesewetter, K. H. Shakib, P. Singh, M. Rahman, B. Khandelwal, S. Kumar, K. Shah, A holistic review of the current state of research on aircraft design concepts and consideration for advanced air mobility applications,Progress in Aerospace Sciences, Volume 142, 2023, 100949, ISSN 0376-0421, https://doi.org/10.1016/j.paerosci.2023.100949.
- [J25] S. Guo, H. Chen, M. Rahman and X. Qian, "DCA: Delayed Charging Attack on the Electric Shared Mobility System," IEEE Transactions on Intelligent Transportation Systems, 2023. doi: 10.1109/TITS.2023.3287792.
- [J24] J. Liu, N. Xu, Y. Shi, M. Rahman, T. Barnett, and S. Jones, “Do first responders trust connected and automated vehicles (CAVs)? A national survey,” Transport policy, 140, pp.85-99, 2023. https://doi.org/10.1016/j.tranpol.2023.06.012
- [J23] M. S. Salek, M. Chowdhury, M. Rahman, K. Dey, and M. R. Islam. “Theoretical Development and Numerical Validation of an Asymmetric Linear Bilateral Control Model- Case Study for an Automated Truck Platoon,” ACM J. Auton. Transport. Syst, 2023. https://doi.org/10.1145/3592619
- [J22] S. Dasgupta, M. Rahman, M. Islam, and M. Chowdhury, “A Sensor Fusion-Based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles,” IEEE Transactions on Intelligent Transportation Systems, 2022, doi: 10.1109/TITS.2022.3197817.
- [J21] E. K. Adanu, S. Jones, L. Abhay, and M. Rahman, “Examining the who, what, and how of risky driving related crashes in residential areas,” Journal of Urban Mobility, vol. 2, p. 100024, Dec. 2022, doi: 10.1016/J.URBMOB.2022.100024.
- [J20] M. Rahman, M. R. Islam, M. Chowdhury, and T. Khan, “A Physics-Based Longitudinal Driver Model for Automated Vehicles,” IEEE Access, vol. 10, pp. 80883–80899, 2022, doi: 10.1109/ACCESS.2022.3193997.
- [J19] S. Dasgupta, T. Ghosh, and M. Rahman, “A Reinforcement Learning Approach for Global Navigation Satellite System Spoofing Attack Detection in Autonomous Vehicles,” https://doi.org/10.1177/03611981221095509, Jun. 2022.
- [J18] Z. Khan, S. M. Khan, M. Chowdhury, M. Rahman, and M. Islam, “Performance Evaluation of 5G Millimeter-Wave-Based Vehicular Communication for Connected Vehicles,” IEEE Access, 2022, doi: 10.1109/ACCESS.2022.3158669.
[JP17] Paper Title: A Review on Cybersecurity of Cloud Computing for Supporting Connected Vehicle Applications
List of Authors: Salek, M. S., Khan, S., Rahman, M., Deng, H., Islam, M., Khan, Z., Chowdhury, and Shue, M. Year of Publication: 2022 Journal Name: IEEE Internet of Things DOI: 10.1109/JIOT.2022.3152477 Impact Factor: 9.471 |
[JP16] Paper Title: Grey models for short-term queue length predictions for adaptive traffic signal control
List of Authors: Comert, G., Khan, Z., Rahman, M. and Chowdhury, M. Year of Publication: 2021 Journal Name: Expert Systems with Applications, Elsevier DOI: https://doi.org/10.1016/j.eswa.2021.115618 Impact Factor: 6.954 |
[JP15] Paper Title: Change point models for real-time cyber attack detection in connected vehicle environment.
List of Authors: Comert, G., Rahman, M., Islam, M. and Chowdhury, M. Year of Publication: 2021 Journal Name: IEEE Transactions on Intelligent Transportation Systems DOI: 10.1109/TITS.2021.3113675 Impact Factor: 6.492 |
[JP14] Paper Title: Dynamic error-bounded lossy compression to reduce the bandwidth requirement for real-time vision-based pedestrian safety applications
List of Authors: Rahman, M., Islam, M., Holt, C., Calhoun, J. and Chowdhury, M Year of Publication: 2021 Journal Name: Journal of Real-Time Image Processing, Springer DOI: https://doi.org/10.1007/s11554-021-01165-0 Impact Factor: 2.358 |
[JP13] Paper Title: Commercial Cloud Computing for Connected Vehicle Applications in Transportation Cyberphysical Systems: A Case Study.
List of Authors: Deng, H.W., Rahman, M., Chowdhury, M., Salek, M.S. and Shue, M. Year of Publication: 2020 Journal Name: IEEE Intelligent Transportation Systems Magazine DOI: 10.1109/MITS.2020.3037314 Impact Factor: 3.419 |
[JP12] Paper Title: Vision-based Personal Safety Messages (PSMs) Generation for Connected Vehicles
List of Authors: Mhafuzul Islam, Mizanur Rahman, Mashrur Chowdhury, Gurcan Comert, Easha D. Sood and Amy Apon Year of Publication: 2020 Journal Name: IEEE Transactions on Vehicular Technology DOI: 10.1109/TVT.2020.2982189 Impact Factor: 5.978 |
- [JP11] Zadid Khan, Mashrur Chowdhury, Mhafuzul Islam, Chin-Ya Huang, and Mizanur Rahman. Long Short-Term Memory Neural Network-based Attack Detection Model for In-Vehicle Network Security. IEEE Sensors Letters. DOI: 10.1109/LSENS.2020.2993522, (2020).
- [JP10] Mhafuzul Islam, Mizanur Rahman, Sakib Mahmud Khan, Mashrur Chowdhury, and Lipica Deka. Development and Performance Evaluation of a Connected Vehicle Application Development Platform. Transportation Research Record: Journal of the Transportation Research Board. DOI: https://doi.org/10.1177/0361198120917146, (2020).
- [JP9] Mizanur Rahman, Mhafuzul Islam, Jon Calhoun, Mashrur Chowdhury. Real-time Pedestrian Detection Approach with an Efficient Data Communication Bandwidth Strategy. Transportation Research Record: Journal of the Transportation Research Board, DOI: 10. 1177 / 0361198119843255, (2019).
- [JP8] Ankur Sarker, Haiying Shen, Mizanur Rahman, Mashrur Chowdhury, Kakan Dey, Fangjian Li, Yue Wang and Husnu S. Narman. A Review of Sensing and Communication, Human Factors, and Controller Aspects for Information-Aware Connected Automated Vehicles. IEEE Transactions on Intelligent Transportation Systems. DOI: 10.1109/TITS.2019.2892399, March 15, (2019).
- [JP7] Chowdhury, M., Rahman, M., Rayamajhi, A., Khan, S., Islam, M., Khan, Z., and Martin, J., “Lessons Learned from the Real-World Deployment of a Connected Vehicle Testbed,” Transportation Research Record: Journal of the Transportation Research Board.
- [JP6] Rahman, M., Chowdhury, M., Dey, K., Islam, R., and Khan, T., “Evaluation of Driver Car-Following Behavior Models for Cooperative Adaptive Cruise Control Systems,” Transportation Research Record: Journal of the Transportation Research Board, No. 2622, DOI: 10.3141/2622-08, (2017).
- [JP5] Du, Y., Chowdhury, M., Rahman, M., Dey, K., Apon, A., Luckow, A., and Ngo. N., “A Distributed Data Delivery Infrastructure for Connected Vehicle Technology Applications,” (2017).
- [JP4] Khan, S. M., Atamturktur, S., Chowdhury, M., and Rahman, M., “Integration of Structural Health Monitoring and Intelligent Transportation Systems for Bridge Condition Assessment: Current Status and Future Direction,” , Vol. 17, No. 8, pp 2107-2122, 2016.
- [JP3] Rahman, M., Chowdhury, M., Khan, T., and Bhavsar, P., “Improving the Efficacy of Car-following Models with a New Stochastic Parameter Estimation and Calibration Method,” IEEE Transactions on Intelligent Transportation Systems, Vol. 16, No. 5, pp 2687-2699, 2015.
- [JP2] Bhavsar, P., Chowdhury, M., He, Y., Rahman, M., “A Network Wide Simulation Strategy of Alternative Fuel Vehicles,” Vol. 40, pp 201-214, 2014.
- [JP1] Rahman, M., Chowdhury, M., Xie, Y., and He, Y., “Review of Microscopic Lane-Changing Models and Future Research Opportunities,” IEEE Transactions on Intelligent Transportation Systems, Vol. 14, No. 4, pp 1942-1956, 2013.
Book Chapters
- [BC5] S. Dasgupta, X. Zhu, M. S. Irfan, M. Rahman, J. Gong, and S. Jones, “AI Machine Vision for Safety and Mobility: An Autonomous Vehicle Perspective,” Handbook on Artificial Intelligence in Transport, Edward Elgar Publishing, (In Press).
- [BC4] Z. Khan, S. M. Khan, M. Rahman, M. Islam, and M. Chowdhury, “Deep Learning in Transportation Cyber-Physical-Social Systems,” AI in Civil, Transportation & Construction Applications, CRC/Taylor & Francis, 2023.
- [BC3] S. Guo, X. Qian, S. Dasgupta, M. Rahman, and S. Jones, “Sensing and monitoring of urban roadway traffic state with large-scale ride-sourcing vehicles.” The Rise of Smart Cities: Advanced Structural Sensing and Monitoring Systems, Elsevier Incorporated.
- [BC2] M. Rahman, S. Polunsky, and S. Jones, “Transportation policies for connected and automated mobility in smart cities,” Smart Cities Policies and Financing: Approaches and Solutions, pp. 97–116, Jan. 2022, doi: 10.1016/B978-0-12-819130-9.00008-5.
- [BC1] S. M. Khan, M. Rahman, and A. Apon, “Characteristics of Intelligent Transportation Systems and its Relationship with Data Analytics,” Data Analytics for Intelligent Transportation Systems, Elsevier, pp. 1-29, 2017, ISBN: 978-0-12-809715-1.
Peer-reviewed Conference Publications
- [CP15] Dasgupta, S., Ghosh, T. and Rahman, M., 2021, A Reinforcement Learning Approach for GNSS Spoofing Attack Detection of Autonomous Vehicles, Proceeding of 101st Annual Meeting of the Transportation Research Board, Washington, D.C., January 2022.
- [CP14] Jin, W., Chowdhury, M., Islam, M. and Rahman, M., Risk-based Freeway Lane-Changing Decision-Making Framework for Autonomous Vehicles in Mixed Traffic Streams, Proceeding of 101st Annual Meeting of the Transportation Research Board, Washington, D.C., January 2022.
- [CP13] Guo, S., Qian, X., Rahman, M., and Jones, S., Sensing Urban Road Network with Large-scale, Proceeding of 101st Annual Meeting of the Transportation Research Board, Washington, D.C., January 2022.
- [CP12] Dasgupta, S., Rahman, M., Islam, M., Chowdhury, M., Prediction-Based GNSS Spoofing Attack Detection for Autonomous Vehicles, Proceeding of 100th Annual Meeting of the Transportation Research Board, Washington, D.C., January 2021.
- [CP11] Rahman, M., Chowdhury, M., Rayamajhi, A., Dey, K., and Martin, J., “Adaptive Queue Prediction Algorithm using Edge-Centric Cyber–Physical System Platform in a Connected Vehicle Environment,” In the Proceeding of 97th Annual Meeting of the Transportation Research Board, Washington, D.C., January 2018.
- [CP10] Chowdhury, M., Rahman, M., Rayamajhi, A., Khan, S., Islam, M., Khan, Z., and Martin, J., “Lessons Learned from the Real-World Deployment of a Connected Vehicle Testbed,” Washington, D.C., January 2018.
- [CP9] Islam, M., Li, F., Rahman, M., Islam, S., Chowdhury, M., and Wang, Y., “Human-Centered Time Headway Controller for Cooperative Adaptive Cruise Control (CACC),” Washington, D.C., January 2018.
- [CP8] Rahman, M., An, Y., Chowdhury, M., Dey, K., Du, Y., and Ngo, L., “Framework for Design and Evaluation of a Distributed Data Exchange Infrastructure for Dynamic Transit Operation,” In 96th Transportation Research Board Annual Meeting compendium of papers, Washington D.C., January 2017.
- [CP7] Rahman, M., Chowdhury, M., Dey, K., Islam, R., and Khan, T., “An Evaluation Strategy for Driver Car-Following Behavior Models for CACC Controllers,” In 96th Transportation Research Board Annual Meeting compendium of papers, Washington D.C, January 2017.
- [CP6] Rayamajhi, A., Rahman, M., Kaur, M., Liu, J., Chowdhury, M., Hu, H., McClendon, J., Wang, K. C., Gosain, A., and Martin, J., “ThinGs In a Fog (TGIF): System Illustration with Connected Vehicles” Vehicular Technology Conference (VTC Spring), 2017.
- [CP5] Rahman, M., Doran, J., Islam, S., Keehan, M., Khan, S., and Du, Y., “In-Motion Wireless Power Transfer for Connected Electric Vehicles” 2016 Fuels Institute Case Competition: Future of Transportation, Fuel Institute Annual Meeting 2016, May 2016.
- [CP4] Rahman, M., Du, Y., Ngo, L., Dey, K., Chowdhury, M., and Apon, A., “An Innovative way to Manage Data for Connected Vehicle Applications,” In 95th Transportation Research Board Annual Meeting compendium of papers, Washington D.C., January 2016.
- [CP3] Rahman, M., Khan, S., Chowdhury, M., Huynh, N., Ogle, J., Dey, K., and Bhavsar, P., “Incident Command System Strategies for Incident Management on Freeways: Simulation Analysis,” In 94th Transportation Research Board Annual Meeting compendium of papers, Washington D.C., January 2015.
- [CP2] Rahman, M., Chowdhury, M., and Khan, T., “A Parameter Estimation and Calibration Method for Car-Following Models,” In 93rd Transportation Research Board Annual Meeting compendium of papers, Washington, D.C., January 2014.
- [CP1] Khan, S., Dey, K., Rahman, M., Lantz, K. and Chowdhury, M., “Potentials For Intelligent Transportation Systems Deployment in Developing Countries- A Case Study,” Proceeding of the 21st ITS World Congress, Detroit, Michigan, 2014.
Technical Presentations
- “A Physics-based Longitudinal Control Model for Automated Vehicles in a Mixed Traffic Environment,” Center for Connected Multimodal Mobility (C2M2) Cyber-Physical Systems (CPS) Frontiers Series, on 28 May at 2:00PM EDT, 2022.
- “Past, Present and Future Connected and Autonomous Vehicle Research,” Alabama Transportation Institute Town Hall Meeting (Virtual), 2021.
- “Transportation Cyber-Physical Systems (TCPS) for Connected and Automated Vehicles,” Alabama Transportation Institute Town Hall Meeting (Virtual), November 2020.
- “Prediction-Based GNSS Spoofing Attack Detection for Autonomous Vehicles,” Transportation Research Board 100th Annual Meeting, 2021.
- “Car Following and Lane Changing Models for Autonomous Vehicles,” IEEE Intelligent Transportation Systems Society – Clemson Student Chapter Meeting, Virtual Meeting, 2021.
- “A Deep Reinforcement Learning based GNSS Spoofing Attack Detection Framework for Autonomous Vehicles,” ASCE T&DI Technical Committee on Artificial Intelligence workshop on “Artificial intelligence enabled next generation transportation systems”, November 18, 2021.
- “A Reinforcement Learning Approach for GNSS Spoofing Attack Detection of Autonomous Vehicles,” Transportation Research Board 101st Annual Meeting, 2022.
- [TP10] “Development of Connected Vehicle Applications through an Edge-Centric Cyber-Physical System (CPS) Platform,” 5th Annual UTC Conference for the Southeastern Region, Gainesville, Florida, 2017.
- [TP10] “US Ignite: Enabling Connected Vehicle Applications through Advanced Network Technology,” US Ignite Application Summit, Austin, Texas, 2017.
- [TP9] “US Ignite: Enabling Connected Vehicle Applications through Advanced Network Technology,” US Ignite Application Summit, Austin, Texas, 2016.
- [TP8] “Design and Evaluation of Distributed Data Delivery System in a Connected Vehicle Environment,” to Researchers at IT Innovation lab, BMW Group, December 2, 2015.
- [TP7] “Characteristics of Big Data in a Connected Transportation Environment,” to Researchers of BMW Group at Clemson University, April 27, 2015.
- [TP6] “A Dynamic Routing Strategy in a Cooperative Vehicle Environment” 21st ITS World Congress, Detroit, Michigan, 2014.
- [TP5] “A New Generation Car-Following Model for Today's Traffic and Drivers,” In 2014 Transportation and Development Institute (T&DI) Congress-ASCE, Florida, June 2014.
- [TP4] “Analysis of Car-Following Models,” In 2014 Transportation and Development Institute (T&DI) Congress-ASCE, Florida, June 2014.
- [TP3] “Application of a parameter Estimation and Calibration Method for Car-Following Models,” Presented at 4th Annual Transportation Summit: Partnerships, Innovation & Safety, Benedict College, Columbia, SC, March 22, 2013.
- [TP2] “Application of a parameter Estimation and Calibration Method for Car-Following Models,” Presented at South Carolina Section ITE –Spring Meeting, Columbia, SC, March 13, 2013.
- [TP1] “Application of a parameter Estimation and Calibration Method for Car-Following Models”. Presented at 92nd Annual Meeting of the Transportation Research Board, Eisenhower TRB Research Showcase, Washington, D.C., 2013.