Hossameldin Mohammed
Hossameldin Mohammed
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Tarek Sayed
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Microscopic modeling of cyclists on off-street paths: a stochastic imitation learning approach
Unconstrained Cyclist Trajectory Simulation for agent-based models
Characterization of bicycle following and overtaking maneuvers on cycling paths
Toward agent-based microsimulation of cyclist following behavior: Estimation of reward function parameters using inverse reinforcement learning
Inferring Nonlinear Reward Functions for Cyclists in Following Interactions Using Continuous Inverse Reinforcement Learning
Variational inference-based generative unconstrained bicycle trajectories microsimulation
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