Data Science for Transport

With the rise of big data and smart cities, transportation professionals must adapt to new data management skills. This book offers a practical guide to utilizing Data Science tools for addressing transport challenges. Emphasizing real-world applications, it equips readers to establish empirical facts and rigorously test mathematical models. Additionally, it addresses business and ethical considerations, making it essential for those looking to navigate the evolving landscape of transport data analysis.