Traffic Control and Transport Planning: A Fuzzy Sets and Neural Networks Approach
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Dordrecht
Springer Netherlands
1998
|
| Schriftenreihe: | International Series in Intelligent Technologies
13 |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Beschreibung: | When solving real-life engineering problems, linguistic information is often encountered that is frequently hard to quantify using "classical" mathematical techniques. This linguistic information represents subjective knowledge. Through the assumptions made by the analyst when forming the mathematical model, the linguistic information is often ignored. On the other hand, a wide range of traffic and transportation engineering parameters are characterized by uncertainty, subjectivity, imprecision, and ambiguity. Human operators, dispatchers, drivers, and passengers use this subjective knowledge or linguistic information on a daily basis when making decisions. Decisions about route choice, mode of transportation, most suitable departure time, or dispatching trucks are made by drivers, passengers, or dispatchers. In each case the decision maker is a human. The environment in which a human expert (human controller) makes decisions is most often complex, making it difficult to formulate a suitable mathematical model. Thus, the development of fuzzy logic systems seems justified in such situations. In certain situations we accept linguistic information much more easily than numerical information. In the same vein, we are perfectly capable of accepting approximate numerical values and making decisions based on them. In a great number of cases we use approximate numerical values exclusively. It should be emphasized that the subjective estimates of different traffic parameters differs from dispatcher to dispatcher, driver to driver, and passenger to passenger |
| Beschreibung: | 1 Online-Ressource (XVIII, 387 p) |
| ISBN: | 9789401144032 9789401058926 |
| ISSN: | 1382-3434 |
| DOI: | 10.1007/978-94-011-4403-2 |
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| 245 | 1 | 0 | |a Traffic Control and Transport Planning |b A Fuzzy Sets and Neural Networks Approach |c by Dušan Teodorović, Katarina Vukadinović |
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| 500 | |a When solving real-life engineering problems, linguistic information is often encountered that is frequently hard to quantify using "classical" mathematical techniques. This linguistic information represents subjective knowledge. Through the assumptions made by the analyst when forming the mathematical model, the linguistic information is often ignored. On the other hand, a wide range of traffic and transportation engineering parameters are characterized by uncertainty, subjectivity, imprecision, and ambiguity. Human operators, dispatchers, drivers, and passengers use this subjective knowledge or linguistic information on a daily basis when making decisions. Decisions about route choice, mode of transportation, most suitable departure time, or dispatching trucks are made by drivers, passengers, or dispatchers. In each case the decision maker is a human. The environment in which a human expert (human controller) makes decisions is most often complex, making it difficult to formulate a suitable mathematical model. Thus, the development of fuzzy logic systems seems justified in such situations. In certain situations we accept linguistic information much more easily than numerical information. In the same vein, we are perfectly capable of accepting approximate numerical values and making decisions based on them. In a great number of cases we use approximate numerical values exclusively. It should be emphasized that the subjective estimates of different traffic parameters differs from dispatcher to dispatcher, driver to driver, and passenger to passenger | ||
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Datensatz im Suchindex
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| author | Teodorović, Dušan |
| author_facet | Teodorović, Dušan |
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| dewey-full | 511.3 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 511 - General principles of mathematics |
| dewey-raw | 511.3 |
| dewey-search | 511.3 |
| dewey-sort | 3511.3 |
| dewey-tens | 510 - Mathematics |
| discipline | Mathematik |
| doi_str_mv | 10.1007/978-94-011-4403-2 |
| format | Electronic eBook |
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| id | DE-604.BV042423940 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T01:21:14Z |
| institution | BVB |
| isbn | 9789401144032 9789401058926 |
| issn | 1382-3434 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027859357 |
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| physical | 1 Online-Ressource (XVIII, 387 p) |
| psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
| publishDate | 1998 |
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| publisher | Springer Netherlands |
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| series2 | International Series in Intelligent Technologies |
| spelling | Teodorović, Dušan Verfasser aut Traffic Control and Transport Planning A Fuzzy Sets and Neural Networks Approach by Dušan Teodorović, Katarina Vukadinović Dordrecht Springer Netherlands 1998 1 Online-Ressource (XVIII, 387 p) txt rdacontent c rdamedia cr rdacarrier International Series in Intelligent Technologies 13 1382-3434 When solving real-life engineering problems, linguistic information is often encountered that is frequently hard to quantify using "classical" mathematical techniques. This linguistic information represents subjective knowledge. Through the assumptions made by the analyst when forming the mathematical model, the linguistic information is often ignored. On the other hand, a wide range of traffic and transportation engineering parameters are characterized by uncertainty, subjectivity, imprecision, and ambiguity. Human operators, dispatchers, drivers, and passengers use this subjective knowledge or linguistic information on a daily basis when making decisions. Decisions about route choice, mode of transportation, most suitable departure time, or dispatching trucks are made by drivers, passengers, or dispatchers. In each case the decision maker is a human. The environment in which a human expert (human controller) makes decisions is most often complex, making it difficult to formulate a suitable mathematical model. Thus, the development of fuzzy logic systems seems justified in such situations. In certain situations we accept linguistic information much more easily than numerical information. In the same vein, we are perfectly capable of accepting approximate numerical values and making decisions based on them. In a great number of cases we use approximate numerical values exclusively. It should be emphasized that the subjective estimates of different traffic parameters differs from dispatcher to dispatcher, driver to driver, and passenger to passenger Mathematics Logic, Symbolic and mathematical Civil engineering Regional economics Mathematical Logic and Foundations Civil Engineering Regional/Spatial Science Mathematik Vukadinović, Katarina Sonstige oth https://doi.org/10.1007/978-94-011-4403-2 Verlag Volltext |
| spellingShingle | Teodorović, Dušan Traffic Control and Transport Planning A Fuzzy Sets and Neural Networks Approach Mathematics Logic, Symbolic and mathematical Civil engineering Regional economics Mathematical Logic and Foundations Civil Engineering Regional/Spatial Science Mathematik |
| title | Traffic Control and Transport Planning A Fuzzy Sets and Neural Networks Approach |
| title_auth | Traffic Control and Transport Planning A Fuzzy Sets and Neural Networks Approach |
| title_exact_search | Traffic Control and Transport Planning A Fuzzy Sets and Neural Networks Approach |
| title_full | Traffic Control and Transport Planning A Fuzzy Sets and Neural Networks Approach by Dušan Teodorović, Katarina Vukadinović |
| title_fullStr | Traffic Control and Transport Planning A Fuzzy Sets and Neural Networks Approach by Dušan Teodorović, Katarina Vukadinović |
| title_full_unstemmed | Traffic Control and Transport Planning A Fuzzy Sets and Neural Networks Approach by Dušan Teodorović, Katarina Vukadinović |
| title_short | Traffic Control and Transport Planning |
| title_sort | traffic control and transport planning a fuzzy sets and neural networks approach |
| title_sub | A Fuzzy Sets and Neural Networks Approach |
| topic | Mathematics Logic, Symbolic and mathematical Civil engineering Regional economics Mathematical Logic and Foundations Civil Engineering Regional/Spatial Science Mathematik |
| topic_facet | Mathematics Logic, Symbolic and mathematical Civil engineering Regional economics Mathematical Logic and Foundations Civil Engineering Regional/Spatial Science Mathematik |
| url | https://doi.org/10.1007/978-94-011-4403-2 |
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