Fuzzy Logic Applications in Traffic and Transportation Engineering
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...
-д хадгалсан:
| Формат: | Online |
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| Хэл сонгох: | англи |
| Хэвлэсэн: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Нөхцлүүд: | |
| Онлайн хандалт: | ONIX_20250812T110751_9783725840212_294 |
| Шошгууд: |
Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!
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| _version_ | 1869515056930095104 |
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| collection | Directory of Open Access Books |
| description | 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 Mathematics, 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. |
| format | Online |
| id | doab-20.500.12854ir-165539 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1655392025-08-12T09:53:17Z Fuzzy Logic Applications in Traffic and Transportation Engineering Dobrodolac, Momčilo Jovčić, Stefan Čubranić-Dobrodolac, Marjana fuzzy decision making fuzzy logic applications traffic safety road transport thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science 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 Mathematics, 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. 2025-08-12T09:53:15Z 2025-08-12T09:53:15Z 2025 book ONIX_20250812T110751_9783725840212_294 9783725840212 9783725840229 https://directory.doabooks.org/handle/20.500.12854/165539 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10959 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-4022-9 10.3390/books978-3-7258-4022-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725840212 9783725840229 242 open access |
| spellingShingle | fuzzy decision making fuzzy logic applications traffic safety road transport thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science Fuzzy Logic Applications in Traffic and Transportation Engineering |
| title | Fuzzy Logic Applications in Traffic and Transportation Engineering |
| title_full | Fuzzy Logic Applications in Traffic and Transportation Engineering |
| title_fullStr | Fuzzy Logic Applications in Traffic and Transportation Engineering |
| title_full_unstemmed | Fuzzy Logic Applications in Traffic and Transportation Engineering |
| title_short | Fuzzy Logic Applications in Traffic and Transportation Engineering |
| title_sort | fuzzy logic applications in traffic and transportation engineering |
| topic | fuzzy decision making fuzzy logic applications traffic safety road transport thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| topic_facet | fuzzy decision making fuzzy logic applications traffic safety road transport thema EDItEUR::G Reference, Information and Interdisciplinary subjects::GP Research and information: general thema EDItEUR::P Mathematics and Science |
| url | ONIX_20250812T110751_9783725840212_294 |