Elsevier Applied Computing for Intelligent Transportation Systems

Applied Computing for Intelligent Transportation Systems delves into the dynamic intersection where computer science meets transportation engineering. Its comprehensive coverage of cutting-edge ITS technologies offers sought-after research insights into the most effective integration strategies achievable through applied computing-informed methodologies. This timely, interdisciplinary exploration of the ever-progressing solutions that are contributing to the transformation of transportation systems is accompanied by sustainability-minded considerations, which are at the forefront of road- and transit-based best practices worldwide. The volume also includes practical case studies and real-world examples, showcasing success stories and lessons learnt that facilitate understanding of the feasibility of implementation in smart-city projects. With its aim of helping to bridge the gap between the theory and practice of enhancing ITS and the infrastructure that supports them, the book proves to be a valuable resource for readers in academia as well as industry. Systematically covers intelligent transportation systems, ensuring readers gain a solid understanding of core concepts and stay up-to-date with the most current developments Illustrates the tangible relevance of applied computing in transportation engineering through real-world application examples and case studies Prepares readers for the ever-evolving intelligent transportation systems’ landscape and to harness the full potential of applied computing in this context