Modeling and Simulation Techniques for ITS Designs
A key characteristic of intelligent transportation system (ITS) designs, as explained in Chapter 3 and reflected in Chapters 4 through 7, is that each entity, for example locomotives, cars, and so on, carries its own computing engine while subject to transportation through the system, under asynchron...
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| Vydané v: | Intelligent Transportation Systems s. 179 - 198 |
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| Hlavní autori: | , |
| Médium: | Kapitola |
| Jazyk: | English |
| Vydavateľské údaje: |
United States
CRC Press
2010
Taylor & Francis Taylor & Francis Group |
| Vydanie: | 2nd Edition |
| Predmet: | |
| ISBN: | 1439835187, 9781439835180 |
| On-line prístup: | Získať plný text |
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| Shrnutí: | A key characteristic of intelligent transportation system (ITS) designs, as explained
in Chapter 3 and reflected in Chapters 4 through 7, is that each entity, for example locomotives, cars, and so on, carries its own computing engine while subject to
transportation through the system, under asynchronous, distributed algorithm control. Every entity is viewed as an asynchronous and autonomous process with welldefined computational and communications needs. While some processes may be
“stationary,” others are “mobile” within the transportation system. The exact pattern
of migration of the mobile processes is dictated by the nature of the transportation
system and the actual input data. The migration pattern is further complicated by the
fact that every mobile process is autonomous, that is, every mobile entity determines
its own migration pattern based on its unique behavior, input stimulus, and dynamic
interactions with the stationary entities. Every mobile and stationary entity is characterized by unique computation and communication needs. Furthermore, the nature
of the migration is asynchronous, that is, it is initiated at irregular intervals of time
and may not be known a priori. Finally, in many transportation systems, the number
of mobile and stationary entities is likely to be large, which, in turn, necessitates a
distributed, scalable approach to modeling and simulation. |
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| ISBN: | 1439835187 9781439835180 |
| DOI: | 10.1201/EBK1439835180-14 |

