Andrea D'Ariano

Associate Professor

Università degli Studi di Roma La Sapienza

Research Interests

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Articles (18)

Collaborators (4)

Rudy Negenborn

Delft University of Technology

Francesco Viti

Marcella Samà

Assistant Professor

Università degli Studi di Roma La Sapienza

Chengbin Chu

Paris university

Andrea D'Ariano

Research Interests

Explore related searches

Contact this professor

Articles (18)

Collaborators (4)

Rudy Negenborn

Francesco Viti

Marcella Samà

Chengbin Chu

How do I reach out?

Meet Kite AI

Andrea D'Ariano

Research Interests

Explore related searches

Contact this professor

Articles (18)

A bi-level programming methodology for decentralized mining supply chain network design

Integrated optimization of train timetable and train unit circulation for a Y-type urban rail transit system with flexible train composition mode

Optimizing Train-to-Train Rescue and Rescheduling in Metro Systems

Energy-Efficient Routing of a Multirobot Station: A Flexible Time-Space Network Approach

Model Predictive Path Planning of AGVs: Mixed Logical Dynamical Formulation and Distributed Coordination

Optimal aircraft arrival scheduling with continuous descent operations in busy terminal maneuvering areas

Short-Term Arrival Delay Time Prediction in Freight Rail Operations Using Data-Driven Models

Bi-objective bi-level optimization for integrating lane-level closure and reversal in redesigning transportation networks

Cooperative train control during the power supply shortage in metro system: A multi-agent reinforcement learning approach

Flexible time–space network formulation and hybrid metaheuristic for conflict-free and energy-efficient path planning of automated guided vehicles

Integrated optimization of rolling stock allocation and train timetables for urban rail transit networks: A benders decomposition approach

Joint rolling stock rotation planning and depot deadhead scheduling in complicated urban rail transit lines

Effective train routing selection for real-time traffic management: Improved model and ACO parallel computing

A simulation-optimization framework for traffic disturbance recovery in metro systems

Novel Formulations and Improved Differential Evolution Algorithm for Optimal Lane Reservation With Task Merging

A Lagrangian relaxation approach based on a time-space-state network for railway crew scheduling

Integrated Backup Rolling Stock Allocation and Timetable Rescheduling with Uncertain Time-Variant Passenger Demand under Disruptive Events

Integrated rolling stock deadhead routing and timetabling in urban rail transit lines

Collaborators (4)

Rudy Negenborn

Francesco Viti

Marcella Samà

Chengbin Chu

How do I reach out?

Meet Kite AI