Jose Escribano Macias

Lecturer

Imperial College London

United Kingdom

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Jose Escribano Macias is a Lecturer at Imperial College London, UK. His research areas include stochastic vehicle trajectory prediction, sustainable operational strategies for mixed fleets, and air traffic network resilience, as evidenced by his recent publications. He also focuses on advanced methodologies in reinforcement learning for autonomous vehicle interactions and routing logistics.

Articles (13)

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2025

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2023

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2020

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2020

Collaborators (3)

Marc E. J. Stettler

Imperial College London

UNITED KINGDOM

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Arnab Majumdar

Professor

Imperial College London

UNITED KINGDOM

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Panagiotis Angeloudis

Reader in Transport Systems & Logistics

Imperial College London

UNITED KINGDOM

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Jose Escribano Macias

Research Interests

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Articles (13)

Risk-Aware Stochastic Vehicle Trajectory Prediction With Spatial-Temporal Interaction Modeling

Sustainable operational strategies for mixed fleets: Integrating autonomous and human-driven taxis with heterogeneous energy types

Evaluation of Air Traffic Network Resilience: A UK Case Study

Temporally Correlated Deep Learning-Based Horizontal Wind-Speed Prediction

Policy and Strategy Evaluation of Ridesharing Autonomous Vehicle Operation: A London Case Study

An integrated vertiport placement model considering vehicle sizing and queuing: A case study in London

Route planning for last-mile deliveries using mobile parcel lockers: A hybrid q-learning network approach

Decentralised Multi-Agent Reinforcement Learning Approach for the Same-Day Delivery Problem

Adaptive Road Configurations for Improved Autonomous Vehicle-Pedestrian Interactions Using Reinforcement Learning

Spatial-Temporal Flows-Adaptive Street Layout Control Using Reinforcement Learning

Accuracy evaluation of a new generic Trajectory Prediction model for Unmanned Aerial Vehicles

Endogenous stochastic optimisation for relief distribution assisted with unmanned aerial vehicles

Optimal design of Rapid evacuation strategies in constrained urban transport networks

Collaborators (3)

Marc E. J. Stettler

Arnab Majumdar

Panagiotis Angeloudis

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