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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| Published in: | Intelligent Transportation Systems pp. 179 - 198 |
|---|---|
| Main Authors: | , |
| Format: | Book Chapter |
| Language: | English |
| Published: |
United States
CRC Press
2010
Taylor & Francis Taylor & Francis Group |
| Edition: | 2nd Edition |
| Subjects: | |
| ISBN: | 1439835187, 9781439835180 |
| Online Access: | Get full text |
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| Abstract | 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. |
|---|---|
| AbstractList | 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. |
| Author | Ghosh, Sumit Lee, Tony S. |
| Author_xml | – sequence: 1 givenname: Sumit surname: Ghosh fullname: Ghosh, Sumit – sequence: 2 givenname: Tony S. surname: Lee fullname: Lee, Tony S. |
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| ContentType | Book Chapter |
| Copyright | 2010 by Taylor & Francis Group, LLC 2010 |
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| Keywords | Label L1 Distributed Algorithm Control Stationary Node Socket Descriptor Label L3 Computational Load Connect Functions Pe Rc Its Dolby Noise Reduction System Mobile Processes Disconnection Request Scheduler’s List Execution Time Exhibits Superior Performance PP-2 PP-3 PP-4 PP-5 PP-6 Mobile Node Virtual Process HOV Lane Uta Tio Ta Ge Mobile Entities |
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| PublicationSubtitle | Smart and Green Infrastructure Design, Second Edition |
| PublicationTitle | Intelligent Transportation Systems |
| PublicationYear | 2010 |
| Publisher | CRC Press Taylor & Francis Taylor & Francis Group |
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| Snippet | 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,... |
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| StartPage | 179 |
| SubjectTerms | Alternative & renewable energy sources & technology CIVIL ENGINEERING, SURVEYING & BUILDING Electronics engineering Transportation Engineering Transportation System Control |
| TableOfContents | 8.1 Introduction
8.2 Virtual and Physical Process Migration Strategies for ITS Designs
8.3 Software Techniques Underlying the Process Migration Strategies
8.4 Implementation Issues
8.5 Simulation Results and Performance Analysis |
| Title | Modeling and Simulation Techniques for ITS Designs |
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