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Autonomous Driving, Intelligent Transportation, Autonomous Delivery

Autonomous driving is expected to bring significant benefits like reducing traffic crashes, improving mobility performance of transportation systems and reducing environmental impacts. It is important to develop intelligent transportation infrastructure to enable seamless deployment of autonomous driving in future. Future research is investigating how to modernize legacy transportation systems to promote mass adoption of autonomous vehicle technology. In addition, public acceptance of autonomous vehicles including, safe integration of autonomous vehicles with non-autonomous vehicles and non-motorized traffic (e.g., pedestrian, bike) is critical to materialize the full benefits of such technology.

Affiliated Faculty

Recent Publications

  1. Sarker, A., Shen, H., Rahman, M., Chowdhury, M., Dey, K., Li, F., ... & Narman, H. S. (2019). A review of sensing and communication, human factors, and controller aspects for information-aware connected and automated vehicles. IEEE Transactions on Intelligent Transportation Systems, 21(1), 7-29.
  2. Ahmed, S., Dey, K., & Fries, R. (2019). Evaluation of Transportation System Resilience in the Presence of Connected and Automated Vehicles. Transportation Research Record, 2673(9), 562-574.
  3. Bhavsar, P., Das, P., Paugh, M., Dey, K., & Chowdhury, M. (2017). Risk analysis of autonomous vehicles in mixed traffic streams. Transportation Research Record, 2625(1), 51-61.
  4. Dey, K. C., Rayamajhi, A., Chowdhury, M., Bhavsar, P., & Martin, J. (2016). Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication in a heterogeneous wireless network–Performance evaluation. Transportation Research Part C: Emerging Technologies, 68, 168-184.
  5. Li, Z., Dey, K., Chowdhury, M., & Bhavsar, P. (2016). Connectivity supported dynamic routing of electric vehicles in an inductively coupled power transfer environment. IET Intelligent Transport Systems, 10(5), 370-377.