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M. Rostami-Shahrbabaki

2 papers hereh-index 6141 citations19 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author2

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.RO1
  • eess.SY1

identity via Semantic Scholar / OpenAlex

most citedCan Human Drivers and Connected Autonomous Vehicles Co-exist in Lane-Free Traffic? A Microscopic Simulation Perspective

2 citations · 2 across the 2 of their papers we have counts for

collaborators

2 papers

eess.SY2025★ 2 cited

Can Human Drivers and Connected Autonomous Vehicles Co-exist in Lane-Free Traffic? A Microscopic Simulation Perspective

Arslan Ali Syed, Majid Rostami-Shahrbabaki, Klaus Bogenberger

Recent advancements in connected autonomous vehicle (CAV) technology have sparked growing research interest in lane-free traffic (LFT). LFT envisions a scenario where all vehicles…

cs.RO2024

Multi-Task Lane-Free Driving Strategy for Connected and Automated Vehicles: A Multi-Agent Deep Reinforcement Learning Approach

Mehran Berahman, Majid Rostami-Shahrbabaki, Klaus Bogenberger

Deep reinforcement learning has shown promise in various engineering applications, including vehicular traffic control. The non-stationary nature of traffic, especially in the lane…

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