Intelligent Transportation Systems Smart and Green Infrastructure Design, Second Edition

For many transportation systems, the cost of expanding the infrastructure is too high. Therefore, the focus must shift to improving the quality of transportation within the existing infrastructure. The second edition of a bestseller, Intelligent Transport Systems: Smart and Green Infrastructure Design critically examines the successes and failures of intelligent transportation systems (ITS) during the course of the past decade. The new subtitle reflects this edition’s focus on meta-principles critical to moving ahead and successfully building ITS infrastructures that take advantage of smart/green technologies. The book identifies challenging problems that must be addressed in order to bring real quality of life improvements and positively impact our environmental and civil infrastructure systems. New in the second edition: Coverage of new, efficient green strategies Critical review of important developments and implementation of ITS Discussion of how to apply new insights and meta-principles to real-world ITS problems The authors argue strongly for the need to incorporate innovative and creative approaches to transportation problems, based on the fundamental principles and thorough scientific validation. They stress the need for computer modeling and simulation of a representative system to help design and validate such complex, large-scale systems, and the design of new performance metrics to estimate the performance of these systems. They provide a radically different approach to transportation systems design—one that closely resembles reality and promises to yield an architecture that delivers the highest efficiency.

The State-of-the-Art in ITSThe Broad Scope of ITSAWorking Definition of ITSCurrent Status of ITSA Critical Review of the State-of-the-Art in ITSNew Meta-Level Principles for an Untapped ITS Technological MineMeta-Level PrinciplesThe ITS Mine and New Mining ImplementsExamples of Formidable Challenges and Amazing OpportunitiesFundamental Issues in Transportation SystemsPrincipal Characteristics of ITSScientificValidation of ITS Designs through Modeling and SimulationDARYN: A Distributed Decision-Making Algorithm for Railway NetworksIntroductionThe DARYN ApproachImplementation of DARYN on ARMSTRONGPerformance of DARYNRYNSORD: A Novel, Decentralized Algorithm for Railway Networks with Soft ReservationIntroductionThe RYNSORD ApproachModeling RYNSORD on an Accurate, Realistic, and Parallel Processing TestbedImplementation IssuesSimulation Data and Performance AnalysisDICAF: A Distributed, Scalable Architecture for IVHSIntroductionDICAF: A Novel, Distributed, and Scalable Approach to IVHSModeling DICAF on an Accurate, Realistic, and Parallel Processing TestbedImplementation and Debugging IssuesSimulation Results and Performance Analysis of DICAFStability of RYNSORD under PerturbationsIntroductionFormal Definition of Stability of RYNSORDModeling RYNSORD for Stability AnalysisStability Analysis of RYNSORDModeling and Simulation Techniques for ITS DesignsIntroductionVirtual and Physical Process Migration Strategies for ITS DesignsSoftware Techniques Underlying the Process Migration StrategiesImplementation IssuesSimulation Results and Performance Analysis Future Issues in Intelligent Transportation SystemsDescription of the RYNSORD Simulator on CD-ROM and Scope of ExperimentsInstallationOverviewGetting Ready to RunConclusionsBibliographyIndex