Andrea D'Ariano

Università degli Studi di Roma La Sapienza

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Research Interests

Transportation Engineering

Supply Chain Management

Multimodal Transportation

Scheduling Theory

Routing Algorithms

Railway Engineering

Operations Research

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Articles18

Collaborators4

Rudy Negenborn

Delft University of Technology

Francesco Viti

Marcella Samà

Assistant Professor

Università degli Studi di Roma La Sapienza

Chengbin Chu

Paris university

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Andrea D'Ariano

Associate Professor

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Articles18

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

Collaborators4

Rudy Negenborn

Francesco Viti

Marcella Samà

Chengbin Chu

How do I reach out?