Fuzzy Logic Applications in Traffic and Transportation Engineering

<p><span style=color: rgba(23 43 77 1)>Traffic and transportation engineering involves the application of scientific principles to the planning design and operation of facilities for any mode of transportation and to human resource management in industry which are required to enable the safe efficient economical and environmentally compatible movement of people and goods. Given the complexity of transportation engineering processes fuzzy logic is a convenient tool for modeling these processes. Fuzzy logic based on approximate human-like reasoning offers diverse applications in transportation a field marked by constant changes uncertainty and imprecision. A particular advantage of fuzzy systems is the ability to include multiple goals in calculations and using adequate optimization algorithms to achieve high similarity to real-world phenomena. This Special Issue of </span><em style=color: rgba(23 43 77 1)>Mathematics</em><span style=color: rgba(23 43 77 1)> titled Fuzzy Logic Applications in Traffic and Transportation Engineering is devoted to examples of implementing fuzzy logic to solve various traffic and transportation engineering problems for all modes including road rail air waterborne transport postal and logistics industries as well as telecommunications. The Guest Editors were inspired by the current gap in the literature regarding this topic and the significant potential of fuzzy logic for applications within the field of transportation. Their previous research involved modeling driver behavior using fuzzy inference systems optimizing them with metaheuristic algorithms and incorporating fuzzy sets into decision-making theory.</span></p>