The objective of this project was to develop a system for environmental information management and decision support for transportation plans, programs, projects, operations, and maintenance activities. This document contains the following appendixes to the implementation handbook: (B) Survey Results; (C) Use Cases; (D) Best Practices; (E) Laws and Regulations; and (F) Definitions of Entities.

This book constitutes the refereed proceedings of the 6th International Conference on Computational Logistics, ICCL 2015, held in Delft, The Netherlands, in September 2015. The 50 papers presented in this volume were carefully reviewed and selected for inclusion in the book. They are organized in topical sections entitled: transport over ground, transport over water, international coordination within a system, external coordination among systems.

Environmental Informatics (or Enviromatics) is a maturing subject with interdisciplinary roots in computer science, environmental planning, ecology, economics and other related areas. Its practitioners must be prepared to work with many diverse professional groups. It forms the foundation for computer-assisted environmental protection. This book contains an edited version of papers presented at the 3rd International Symposium on Environmental Software Systems (ISESS '99), which was held at the University of Otago, Dunedin, New Zealand, from August 30 to September 2, 1999, and was sponsored by the International Federation for Information Processing (IFIP). The text is divided into six sections: Enviromatics - Introduction; Environmental Issues; Environmental Information Systems - Tools and Techniques; Environmental Information Systems - Implementations; Environmental Decision Support Systems; Specialised Topics. This state-of-the-art volume will be essential reading for computer scientists and engineers, ecologists, and environmental planners and managers.

Discusses all the major tools and techniques for Decision Support System supported by examples Techniques are explained considering their deterministic and stochastic aspects Covers network tools including GERT and Q-GERT Explains application of both probability and fuzzy orientation in the pertinent techniques Includes a number of relevant case studies along with a dedicated chapter on software

This book provides a comprehensive examination of the various aspects of SDSS evolution, components, architecture, and implementation. Integrating research from a variety of disciplines, it supplies a complete overview of SDSS technologies and their application. This groundbreaking reference provides thorough coverage of the roots of SDSS. It explains the core principles of SDSS, how to use them in various decision making contexts, and how to design and develop them using readily available enabling technologies and commercial tools.

As national and international concern over sustainable resources becomes more prevalent, the need for decision support systems (DSS) increases. The applicable uses of a successful system can assist in the sustainability of resources, as well as the efficiency and management of the agri-environment industry. Decision Support Systems in Agriculture, Food and the Environment: Trends, Applications and Advances presents the development of DSS for managing agricultural and environmental systems, focusing on the exposition of innovative methodologies, from web-mobile systems to artificial intelligence and knowledge-based DSS, as well as their applications in every aspect from harvest planning to international food production and land management. This book provides an in depth look into the growing importance of DSS in agriculture.

This monograph describes an innovative prototyping framework for data and knowledge intensive systems. The proposed approach will prove especially useful for advanced and research-oriented projects that aim to develop a traditional database perspective into fully-fledged advanced database approaches and knowledge engineering technologies. The book is organised in two parts. The first part, comprising chapters 1 to 4, provides an introduction to the concept of prototyping, to database and knowledge-based technologies, and to the main issues involved in the integration of data and knowledge engineering. The second part, comprising chapters 5 to 12, illustrates the proposed approach in technical detail. Audience: This volume will be of interest to researchers in the field of databases and knowledge engineering in general, and for software designers and knowledge engineers who aim to expand their expertise in data and knowledge intensive systems.