Antonio Sciarretta
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View article: Developing a Dynamic Mobility Model for Backcasting Applications: A Case Study with Shared Autonomous Vehicles
Developing a Dynamic Mobility Model for Backcasting Applications: A Case Study with Shared Autonomous Vehicles Open
This study proposes the application of a backcasting approach to a mobility model with the aim of defining an optimal decarbonization roadmap. The selected decision variable is the introduction of a fleet of shared autonomous vehicles. The…
View article: Backcasting Policies in Transport Systems as an Optimal Control Problem : An Example with Electric Vehicle Purchase Incentives
Backcasting Policies in Transport Systems as an Optimal Control Problem : An Example with Electric Vehicle Purchase Incentives Open
This study represents a first attempt to build a backcasting methodology to identify the optimal policy roadmaps in transport systems. Specifically, it considers a passenger car fleet subsystem, modelling its evolution and greenhouse gas e…
View article: Backcasting the Optimal Decisions in Transport Systems: An Example with Electric Vehicle Purchase Incentives
Backcasting the Optimal Decisions in Transport Systems: An Example with Electric Vehicle Purchase Incentives Open
This study represents a first attempt to build a backcasting methodology to identify the optimal policy roadmaps in transport systems. In this methodology, desired objectives are set by decision makers at a given time horizon, and then the…
View article: Backcasting Policies in Transport Systems as an Optimal Control Problem : An Example with Electric Vehicle Purchase Incentives
Backcasting Policies in Transport Systems as an Optimal Control Problem : An Example with Electric Vehicle Purchase Incentives Open
International audience
View article: Practical Implementation and Experimental Validation of an Optimal Control based Eco-Driving System
Practical Implementation and Experimental Validation of an Optimal Control based Eco-Driving System Open
The main goal of Eco-Driving (ED) is to maximize energy efficiency. This study evaluates the energy gains of an ED system for an electric vehicle, obtained from a predictive optimal controller, in a real-world traffic scenario. To this end…
View article: Bridging early life trauma to difficult-to-treat depression: scoping review
Bridging early life trauma to difficult-to-treat depression: scoping review Open
Aims and method Accumulating evidence suggests that early life trauma (ELT) initiates and perpetuates a cycle of depression, leading to challenges in management and achieving remission. This scoping review aimed to examine the intricate re…
View article: A Linear Model of Electric Vehicles Energy Demand in Urban Areas: Validation Case Study Using an Agent-Based Electromobility Simulator
A Linear Model of Electric Vehicles Energy Demand in Urban Areas: Validation Case Study Using an Agent-Based Electromobility Simulator Open
International audience
View article: Difficult-To-Treat Depression. Scoping Review.
Difficult-To-Treat Depression. Scoping Review. Open
DTD represents a cultural and scientific shift that provides clinicians and researchers with valid and up-to-date study criteria that allow the extension of the treatment-resistant depression (TRD) model. The main difference lies in the op…
View article: Smart Driving and Charging Can Help Reconciliate Limited Battery Size and Long-Distance Trips for Electric Vehicles Without Compromising on Trip Time
Smart Driving and Charging Can Help Reconciliate Limited Battery Size and Long-Distance Trips for Electric Vehicles Without Compromising on Trip Time Open
Rethinking electric mobility in terms of user needs, vehicle characteristics and affordability, as well as actual driving conditions is the motivation for this paper. Studies and experience have highlighted that users' range anxiety may be…
View article: Cooperative Control in Eco-Driving of Electric Connected and Autonomous Vehicles in an Un-Signalized Urban Intersection
Cooperative Control in Eco-Driving of Electric Connected and Autonomous Vehicles in an Un-Signalized Urban Intersection Open
This paper addresses the problem of finding the optimal Eco-Driving (ED) speed profile of an electric Connected and Automated Vehicle (CAV) in an isolated urban un-signalized intersection. The problem is formulated as a single-level optimi…
View article: Connected strategy for energy-efficient driving of electric vehicle
Connected strategy for energy-efficient driving of electric vehicle Open
International audience
View article: Cooperative Control in Eco-Driving of Electric Connected and Autonomous Vehicles in an Un-Signalized Urban Intersection
Cooperative Control in Eco-Driving of Electric Connected and Autonomous Vehicles in an Un-Signalized Urban Intersection Open
This paper addresses the problem of finding the optimal Eco-Driving (ED) speed profile of an electric Connected and Automated Vehicle (CAV) in an isolated urban un-signalized intersection. The problem is formulated as a single-level optimi…
View article: A local-realistic quantum mechanical model of spin and spin entanglement
A local-realistic quantum mechanical model of spin and spin entanglement Open
This paper aims at reproducing quantum mechanical (QM) spin and spin entanglement results using a realist, stochastic, and local approach, without the standard QM mathematical formulation. The concrete model proposed includes the descripti…
View article: Real-time eco-driving for connected electric vehicles
Real-time eco-driving for connected electric vehicles Open
This paper presents a real-time eco-driving algorithm for connected electric vehicles. The proposed solution generates a safe eco-speed profile, avoiding collision with the preceding vehicle and respecting the speed limits. An Eco-driving …
View article: Cooperative Eco-Driving of Electric Vehicle Platoons for Energy Efficiency and String Stability
Cooperative Eco-Driving of Electric Vehicle Platoons for Energy Efficiency and String Stability Open
This paper discusses cooperation applied to a platoon of electric vehicles using an Eco-Driving Optimal Controller (EDOC). The proposed algorithm is evaluated in terms of energy efficiency and string compactness in comparison with the non-…
View article: A Time- and Energy-Optimal Routing Strategy for Electric Vehicles with Charging Constraints
A Time- and Energy-Optimal Routing Strategy for Electric Vehicles with Charging Constraints Open
International audience
View article: Multi-Agent Control of Lane-Switching Automated Vehicles for Energy Efficiency
Multi-Agent Control of Lane-Switching Automated Vehicles for Energy Efficiency Open
The proliferation of automatic control systems and their connectivity accents the performance of their interactions. In particular, connected and automated vehicles could become high-impact examples thanks to their energy use and productiv…
View article: Information and Collaboration Levels in Vehicular Strings: A Comparative Study
Information and Collaboration Levels in Vehicular Strings: A Comparative Study Open
The potential safety, productivity, and energy benefits of automated vehicles have driven a surge of research interest in their algorithms. Even within single-lane driving, control engineers now have a profusion of approaches available to …
View article: Real-Time Optimal Eco-Driving for Hybrid-Electric Vehicles
Real-Time Optimal Eco-Driving for Hybrid-Electric Vehicles Open
This paper studies the eco-driving strategy for parallel hybrid-electric vehicles (HEVs). Its goal is to advice the driver with a fuel-optimal speed profile to follow and for this purpose two artificial neural networks (ANN) are designed t…
View article: Angular Momentum and Spin in a Local-Realistic Model of Quantum Mechanics
Angular Momentum and Spin in a Local-Realistic Model of Quantum Mechanics Open
This paper aims at reproducing quantum mechanical (QM) spin and spin entanglement results using a realist, stochastic, and local approach, without the standard QM mathematical formulation. The concrete model proposed includes the descripti…
View article: A Constrained Eco-Routing Strategy for Hybrid Electric Vehicles Based on Semi-Analytical Energy Management
A Constrained Eco-Routing Strategy for Hybrid Electric Vehicles Based on Semi-Analytical Energy Management Open
The accuracy of the modern navigation and traffic information systems has increased noticeably. This offers the opportunity of improving the standard powertrain energy management of hybrid electric vehicles (HEVs) by making use of predicti…
View article: Impact of Model Simplification on Optimal Control of Combustion Engine and Electric Vehicles Considering Control Input Constraints
Impact of Model Simplification on Optimal Control of Combustion Engine and Electric Vehicles Considering Control Input Constraints Open
This paper analyzes the impact of model simplification on optimal control for electric and conventional engine-powered vehicles. An optimal control problem is formulated to minimize energy/fuel consumption subject to control input constrai…
View article: Safe- and Eco-Driving Control for Connected and Automated Electric Vehicles Using Analytical State-Constrained Optimal Solution
Safe- and Eco-Driving Control for Connected and Automated Electric Vehicles Using Analytical State-Constrained Optimal Solution Open
International audience
View article: GRAB-ECO for Minimal Fuel Consumption Estimation of Parallel Hybrid Electric Vehicles
GRAB-ECO for Minimal Fuel Consumption Estimation of Parallel Hybrid Electric Vehicles Open
\nAs a promising solution to the reduction of fuel consumption and CO2 emissions in road transport sector, hybrid electric powertrains are confronted with complex control techniques for the evaluation of the minimal fuel consumption, parti…
View article: Online Energy Management System (EMS) Including Engine and Catalyst Temperatures for a Parallel HEV
Online Energy Management System (EMS) Including Engine and Catalyst Temperatures for a Parallel HEV Open
International audience
View article: Handling State Constraints in Fast-computing Optimal Control for Hybrid Powertrains
Handling State Constraints in Fast-computing Optimal Control for Hybrid Powertrains Open
International audience