To serve the needs of the future, transportation systems must undergo a radical transformation, from the centralized paradigm to the asynchronous, distributed paradigm that integrates fast computers and high-performance networks through novel computer algorithms. Intelligent Transportation Systems takes the first step toward meeting that challenge. Focusing on highway and railway systems, the authors stress the need for computer modeling and simulation to help design and validate complex, large-scale systems and the design of new performance metrics to estimate the performance of these systems. They present the basic principles underlying travel-related decision making, including coordination, control, and routing.

List of Figures	p. xiii
List of Tables	p. xvii
Preface to the Second Edition	p. xix
Preface to the First Edition	p. xxi
About the Authors	p. xxv
The State of the Art in ITS	p. 1
The Broad Scope of ITS	p. 1
A Working Definition of ITS	p. 2
Current Status of ITS	p. 2
A Critical Review of the State of the Art in ITS	p. 4
New Meta-Level Principles for an Untapped ITS Technological Mine	p. 7
Meta-Level Principles	p. 7
The ITS Mine and New Mining Implements	p. 8
Examples of Formidable Challenges and Amazing Opportunities	p. 11
Fundamental Issues in Transportation Systems	p. 19
Principal Characteristics of ITS	p. 20
Scientific Validation of ITS Designs through Modeling and Simulation	p. 27
DARYN: A Distributed Decision-Making Algorithm for Railway Networks	p. 29
Introduction	p. 29
The DARYN Approach	p. 32
Algorithm	p. 32
Proof of Freedom from Deadlock	p. 35
Modeling DARYN on a Loosely Coupled Parallel Processor	p. 36
Implementation of DARYN on ARMSTRONG	p. 38
Performance of DARYN	p. 44
RYNSORD: A Novel, Decentralized Algorithm for Railway Networks with Soft Reservation	p. 51
Introduction	p. 51
The RYNSORD Approach	p. 52
Modeling RYNSORD on an Accurate, Realistic, and Parallel Processing Test Bed	p. 60
Implementation Issues	p. 66
Simulation Data and Performance Analysis	p. 68
DICAF: A Distributed, Scalable Architecture for IVHS	p. 83
Introduction	p. 83
DICAF: A Novel, Distributed, and Scalable Approach to IVHS	p. 90
Modeling DICAF on an Accurate, Realistic, and Parallel Processing Test Bed	p. 98
Implementation and Debugging Issues	p. 103
Simulation Results and Performance Analysis of DICAF	p. 104
Stability of RYNSORD under Perturbations	p. 127
Introduction	p. 127
Formal Definition of Stability of RYNSORD	p. 130
Modeling RYNSORD for Stability Analysis	p. 133
Implementation Issues	p. 133
Stability Analysis of RYNSORD	p. 133
Error Criteria for Stability Analysis	p. 133
Steady-State Analysis	p. 134
Perturbations to the Input Rate and Stability Analysis	p. 137
Perturbations to System Characteristics and Stability Analysis	p. 138
Perturbations to Interstation and Train-to-Station Communications	p. 140
Perturbations Relative to the Track Segments	p. 147
Modeling and Simulation Techniques for ITS Designs	p. 153
Introduction	p. 153
Virtual and Physical Process Migration Strategies for ITS Designs	p. 153
Virtual Process Migration Strategy	p. 154
Physical Process Migration Strategy	p. 156
Software Techniques Underlying the Process Migration Strategies	p. 158
Software Techniques Underlying VPM	p. 158
Software Techniques Underlying PPM	p. 162
Implementation Issues	p. 165
Simulation Results and Performance Analysis	p. 166
Future Issues in Intelligent Transportation Systems	p. 173
Description of the RYNSORD Simulator on CD-ROM and Scope of Experiments	p. 175
Installation	p. 175
Overview	p. 176
Getting Ready to Run	p. 177
network.out	p. 177
Helper Scripts	p. 178
Input Generation	p. 178
Output Files	p. 178
Troubleshooting	p. 179
How You Know It Is Working	p. 179
Problems	p. 180
Track and Communication Failures	p. 180
Conclusions	p. 180
Bibliography	p. 181
Index	p. 187
Table of Contents provided by Ingram. All Rights Reserved.

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