Stefano Longo – författare

In an emergency, every second counts, and even a small mistake can cost lives. Yet emergency fleets - ambulances, fire trucks, and police vehicles - still rely on platforms that are unable to integrate the diverse data needed to support accurate, reliable, and timely decisions. Selecting which vehicle to dispatch to an emergency is one such decision - a task that is complex, stressful, and prone to error with conventional dispatch systems.This book examines how connected vehicle platforms - the technological backbone of modern fleet management - can be designed to meet the operational requirements of emergency services. By integrating vehicle and context data in real time - covering everything from vehicle status to staff availability, crew skills, shift schedules, traffic, and weather - these platforms enable faster and more consistent decision-making. Using the UK National Health Service ambulance fleet as a case study, the book presents a prototype system that automates ambulance dispatch, demonstrating how a thoughtfully designed platform can deliver performance and capabilities far beyond conventional fleet management systems.Features: Presents a comprehensive overview of fleet management with core principles and provides essential knowledge for understanding and improving fleet management.Highlights the value of custom-built data platforms, which enable more efficient and effective fleet management than conventional, off-the-shelf systems.Explains how to design fleet management systems from system requirements, offering a unique engineering approach not found in other books.Includes an end-to-end development process and covers the full process from design through testing, providing a practical, hands-on guide for creating effective fleet management solutions.Demonstrates how real-time integration of vehicle data and context data transforms the management of the UK NHS ambulance fleet.For fleet managers, emergency service professionals, researchers, and policymakers, this book provides a roadmap to improve fleet performance, reduce operational risk, and ultimately save lives - showing why every fleet needs a data platform tailored to its unique requirements.

In an emergency, every second counts, and even a small mistake can cost lives. Yet emergency fleets - ambulances, fire trucks, and police vehicles - still rely on platforms that are unable to integrate the diverse data needed to support accurate, reliable, and timely decisions. Selecting which vehicle to dispatch to an emergency is one such decision - a task that is complex, stressful, and prone to error with conventional dispatch systems.This book examines how connected vehicle platforms - the technological backbone of modern fleet management - can be designed to meet the operational requirements of emergency services. By integrating vehicle and context data in real time - covering everything from vehicle status to staff availability, crew skills, shift schedules, traffic, and weather - these platforms enable faster and more consistent decision-making. Using the UK National Health Service ambulance fleet as a case study, the book presents a prototype system that automates ambulance dispatch, demonstrating how a thoughtfully designed platform can deliver performance and capabilities far beyond conventional fleet management systems.Features: Presents a comprehensive overview of fleet management with core principles and provides essential knowledge for understanding and improving fleet management.Highlights the value of custom-built data platforms, which enable more efficient and effective fleet management than conventional, off-the-shelf systems.Explains how to design fleet management systems from system requirements, offering a unique engineering approach not found in other books.Includes an end-to-end development process and covers the full process from design through testing, providing a practical, hands-on guide for creating effective fleet management solutions.Demonstrates how real-time integration of vehicle data and context data transforms the management of the UK NHS ambulance fleet.For fleet managers, emergency service professionals, researchers, and policymakers, this book provides a roadmap to improve fleet performance, reduce operational risk, and ultimately save lives - showing why every fleet needs a data platform tailored to its unique requirements.

Optimal and Robust Scheduling for Networked Control Systems tackles the problem of integrating system components—controllers, sensors, and actuators—in a networked control system. It is common practice in industry to solve such problems heuristically, because the few theoretical results available are not comprehensive and cannot be readily applied by practitioners. This book offers a solution to the deterministic scheduling problem that is based on rigorous control theoretical tools but also addresses practical implementation issues. Helping to bridge the gap between control theory and computer science, it suggests that the consideration of communication constraints at the design stage will significantly improve the performance of the control system. Technical Results, Design Techniques, and Practical ApplicationsThe book brings together well-known measures for robust performance as well as fast stochastic algorithms to assist designers in selecting the best network configuration and guaranteeing the speed of offline optimization. The authors propose a unifying framework for modelling NCSs with time-triggered communication and present technical results. They also introduce design techniques, including for the codesign of a controller and communication sequence and for the robust design of a communication sequence for a given controller. Case studies explore the use of the FlexRay TDMA and time-triggered control area network (CAN) protocols in an automotive control system.Practical Solutions to Your Time-Triggered Communication ProblemsThis unique book develops ready-to-use engineering tools for large-scale control system integration with a focus on robustness and performance. It emphasizes techniques that are directly applicable to time-triggered communication problems in the automotive industry and in avionics, robotics, and automated manufacturing.

The book deals with the fundamentals, theoretical bases, and design methodologies of conventional internal combustion engine (ICE) vehicles, electric vehicles (EVs), hybrid electric vehicles (HEVs), and fuel cell vehicles (FCVs). The design methodology is described in mathematical terms, step-by-step, and the topics are approached from the overall drive train system, not just individual components. Furthermore, in explaining the design methodology of each drive train, design examples are presented with simulation results.

Optimal and Robust Scheduling for Networked Control Systems tackles the problem of integrating system components—controllers, sensors, and actuators—in a networked control system. It is common practice in industry to solve such problems heuristically, because the few theoretical results available are not comprehensive and cannot be readily applied by practitioners. This book offers a solution to the deterministic scheduling problem that is based on rigorous control theoretical tools but also addresses practical implementation issues. Helping to bridge the gap between control theory and computer science, it suggests that the consideration of communication constraints at the design stage will significantly improve the performance of the control system. Technical Results, Design Techniques, and Practical ApplicationsThe book brings together well-known measures for robust performance as well as fast stochastic algorithms to assist designers in selecting the best network configuration and guaranteeing the speed of offline optimization. The authors propose a unifying framework for modelling NCSs with time-triggered communication and present technical results. They also introduce design techniques, including for the codesign of a controller and communication sequence and for the robust design of a communication sequence for a given controller. Case studies explore the use of the FlexRay TDMA and time-triggered control area network (CAN) protocols in an automotive control system.Practical Solutions to Your Time-Triggered Communication ProblemsThis unique book develops ready-to-use engineering tools for large-scale control system integration with a focus on robustness and performance. It emphasizes techniques that are directly applicable to time-triggered communication problems in the automotive industry and in avionics, robotics, and automated manufacturing.

"This book is an introduction to automotive technology, with specic reference to battery electric, hybrid electric, and fuel cell electric vehicles. It could serve electrical engineers who need to know more about automobiles or automotive engineers who need to know about electrical propulsion systems. For example, this reviewer, who is a specialist in electric machinery, could use this book to better understand the automobiles for which the reviewer is designing electric drive motors. An automotive engineer, on the other hand, might use it to better understand the nature of motors and electric storage systems for application in automobiles, trucks or motorcycles.The early chapters of the book are accessible to technically literate people who need to know something about cars. While the rst chapter is historical in nature, the second chapter is a good introduction to automobiles, including dynamics of propulsion and braking. The third chapter discusses, in some detail, spark ignition and compression ignition (Diesel) engines. The fourth chapter discusses the nature of transmission systems.”—James Kirtley, Massachusetts Institute of Technology, USA“The third edition covers extensive topics in modern electric, hybrid electric, and fuel cell vehicles, in which the profound knowledge, mathematical modeling, simulations, and control are clearly presented. Featured with design of various vehicle drivetrains, as well as a multi-objective optimization software, it is an estimable work to meet the needs of automotive industry.”—Haiyan Henry Zhang, Purdue University, USA“The extensive combined experience of the authors have produced an extensive volume covering a broad range but detailed topics on the principles, design and architectures of Modern Electric, Hybrid Electric, and Fuel Cell Vehicles in a well-structured, clear and concise manner. The volume offers a complete overview of technologies, their selection, integration & control, as well as an interesting Technical Overview of the Toyota Prius. The technical chapters are complemented with example problems and user guides to assist the reader in practical calculations through the use of common scientic computing packages. It will be of interest mainly to research postgraduates working in this eld as well as established academic researchers, industrial R&D engineers and allied professionals.”—Christopher Donaghy-Sparg, Durham University, United KingdomThe book deals with the fundamentals, theoretical bases, and design methodologies of conventional internal combustion engine (ICE) vehicles, electric vehicles (EVs), hybrid electric vehicles (HEVs), and fuel cell vehicles (FCVs). The design methodology is described in mathematical terms, step-by-step, and the topics are approached from the overall drive train system, not just individual components. Furthermore, in explaining the design methodology of each drive train, design examples are presented with simulation results. All the chapters have been updated, and two new chapters on Mild Hybrids and Optimal Sizing and Dimensioning and Control are also included• Chapters updated throughout the text.• New homework problems, solutions, and examples.• Includes two new chapters.• Features accompanying MATLABTM software.