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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Bibliographische Detailangaben
Veröffentlicht in:Intelligent Transportation Systems S. 179 - 198
Hauptverfasser: Ghosh, Sumit, Lee, Tony S.
Format: Buchkapitel
Sprache:Englisch
Veröffentlicht: United States CRC Press 2010
Taylor & Francis
Taylor & Francis Group
Ausgabe:2nd Edition
Schlagworte:
Alternative & renewable energy sources & technology
CIVIL ENGINEERING, SURVEYING & BUILDING
Electronics engineering
Transportation Engineering
Transportation System Control
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
ISBN:1439835187, 9781439835180
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung: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.
ISBN:1439835187
9781439835180
DOI:10.1201/EBK1439835180-14