Alaa Khamis – författare

Each year we witness several paradigm shifts in mobility systems and services, increasingly so as technology progresses. The future of mobility is people-centric, software-defined, connected, and electric. Now more than ever, it is imperative for current and aspiring leaders in the field to understand the foundations of people-centric smart cities with a focus on sustainability.Smart Mobility offers a holistic view of the current and emerging smart mobility systems and explores their foundational technologies, technology enablers, and disruptors. Author Alaa Khamis acknowledges the need for smart mobility arising with growing world urbanization, and the impact of this on public health, congestion, and climate change. Khamis expertly interrogates how a focus on smart mobility can mitigate all of these risks using his triad of complementary factors: technology, governance, and city planning.In this book you’ll study how foundational technologies such as artificial intelligence, blockchain, the Internet of Things, robotics, and many more all work together to allow for smart mobility in our modern era. Khamis additionally covers the topical events of the COVID-19 pandemic and analyzes its impact on consumer behavior and the expected short-term disruptions and longer-term structural changes. The socioeconomic changes in our urban centers are vast, and Smart Mobility breaks down the core concepts with meaningful data and insights.What You Will LearnExplore different mobility modes, including mobility-as-a-service, shared mobility, mobility on demand, the gig economy and the passenger economyCover how the smart mobility triad - technology, governance, and city planning - work together to create a smart and sustainable mobilitySee how the COVID-19 pandemic is impacting consumer behavior and preferences and changing the future of mobilityWho This Book Is ForWorking professionals, students, researchers, technologists, city planners, and the curious layman.

Solve design, planning, and control problems using modern machine learning and AI techniques.

In Optimization Algorithms: AI techniques for design, planning, and control problems you will learn:

Machine learning methods for search and optimization problems The core concepts of search and optimization Deterministic and stochastic optimization techniques Graph search algorithms Nature-inspired search and optimization algorithms Efficient trade-offs between search space exploration and exploitation State-of-the-art Python libraries for search and optimization

About the technology:

Search and optimization algorithms are powerful tools that can help practitioners find optimal or near-optimal solutions to a wide range of design, planning and control problems. When you open a route planning app, call for a rideshare, or schedule a hospital appointment, an AI algorithm works behind the scenes to make sure you get an optimized result. This guide reveals the classical and modern algorithms behind these services.