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The National Center for Analysis of Energy Systems at BNL is currently performing a study of light-duty highway fleets (i.e., passenger cars and light trucks). In this context, ''fleets'' refers to vehicles that are owned and/or operated by businesses, state governments, or local governments. The study has three basic objectives: (1) development of a statistical profile of fleet vehicles, and identification factors affecting technological penetration rates; (2) development of a systematic framework for estimating the rate at which new technologies can penetrate the fleet-vehicle market; and (3) generation of a formal set of scenarios to illustrate the relationships between technological options, the requirements of fleet vehicles, and technological penetration rates. Pursuit of the first objective has resulted in compilation of the BNL Fleet Vehicle Data Base. The data base consists of survey data collected in August to September, 1977. Questionnaires were sent to 10,774 USA fleet operators; 1,147 responded, representing a total of 362,205 vehicles. The questionnaire was primarily designed to collect data on the types of vehicle missions that fleet vehicles must fulfill. This report is a preliminary description and analysis of the regional characteristics of the data base.
This book combines wireless telematics systems with dynamic vehicle routing algorithms and vehicle-positioning systems to produce a telematics-enabled information system that can be employed by commercial fleet operators for real-time monitoring, control, and planning. The book further presents a Messaging And Fleet Monitoring System and a Dynamic Planning System (DPS) that provides real-time decision support considering the current state of the transportation system.
A guide for supervisors and managers responsible for the vehicle maintenance management of a fleet, integrating relevant technological developments since the 1994 edition. Describes practical and cost-effective principles for daily operations. Among the features are trend reporting, problem resoluti
Without established design patterns to guide them, developers have had to build distributed systems from scratch, and most of these systems are very unique indeed. Today, the increasing use of containers has paved the way for core distributed system patterns and reusable containerized components. This practical guide presents a collection of repeatable, generic patterns to help make the development of reliable distributed systems far more approachable and efficient. Author Brendan Burns—Director of Engineering at Microsoft Azure—demonstrates how you can adapt existing software design patterns for designing and building reliable distributed applications. Systems engineers and application developers will learn how these long-established patterns provide a common language and framework for dramatically increasing the quality of your system. Understand how patterns and reusable components enable the rapid development of reliable distributed systems Use the side-car, adapter, and ambassador patterns to split your application into a group of containers on a single machine Explore loosely coupled multi-node distributed patterns for replication, scaling, and communication between the components Learn distributed system patterns for large-scale batch data processing covering work-queues, event-based processing, and coordinated workflows