This synthesis reports on the state of the practice in real-time traveler information systems. Emphasis is placed on the needs and expectations of travelers, the current status of a variety of traveler information systems in the United States, available and emerging data sources, and business models for sustaining traveler information. This synthesis will benefit state DOT transportation managers and others that provide or seek to provide affordable, accurate, timely, and effective information in a format that travelers can use.

This book is a printed edition of the Special Issue "Advances in Multi-Sensor Information Fusion: Theory and Applications 2017" that was published in Sensors

This edited book focuses on recent developments in Dynamic Network Modeling, including aspects of route guidance and traffic control as they relate to transportation systems and other complex infrastructure networks. Dynamic Network Modeling is generally understood to be the mathematical modeling of time-varying vehicular flows on networks in a fashion that is consistent with established traffic flow theory and travel demand theory. Dynamic Network Modeling as a field has grown over the last thirty years, with contributions from various scholars all over the field. The basic problem which many scholars in this area have focused on is related to the analysis and prediction of traffic flows satisfying notions of equilibrium when flows are changing over time. In addition, recent research has also focused on integrating dynamic equilibrium with traffic control and other mechanism designs such as congestion pricing and network design. Recently, advances in sensor deployment, availability of GPS-enabled vehicular data and social media data have rapidly contributed to better understanding and estimating the traffic network states and have contributed to new research problems which advance previous models in dynamic modeling. A recent National Science Foundation workshop on “Dynamic Route Guidance and Traffic Control” was organized in June 2010 at Rutgers University by Prof. Kaan Ozbay, Prof. Satish Ukkusuri , Prof. Hani Nassif, and Professor Pushkin Kachroo. This workshop brought together experts in this area from universities, industry and federal/state agencies to present recent findings in this area. Various topics were presented at the workshop including dynamic traffic assignment, traffic flow modeling, network control, complex systems, mobile sensor deployment, intelligent traffic systems and data collection issues. This book is motivated by the research presented at this workshop and the discussions that followed.

State and local government agencies and private companies disseminate real-time traffic info. to help travelers decide whether to use alternative, less congested routes. Legislation enacted in 2005 required the U.S. Dept. of Transportation (DoT) to establish the Real-Time System Management Information Program (RTSMIP), in order to provide states the capability to monitor traffic and travel conditions on major highways and share that info. This report addresses, among other things: (1) how the public and private sectors disseminate real-time traffic info. to the public; (2) actions DoT has taken to establish the RTSMIP; and (3) experts¿ views on the need for a nationwide RTSMIP and its potential characteristics. Charts and tables.

Today's malware mutates randomly to avoid detection, but reactively adaptive malware is more intelligent, learning and adapting to new computer defenses on the fly. Using the same algorithms that antivirus software uses to detect viruses, reactively adaptive malware deploys those algorithms to outwit antivirus defenses and to go undetected. This book provides details of the tools, the types of malware the tools will detect, implementation of the tools in a cloud computing framework and the applications for insider threat detection.

Of congestion management system activities in states and metropolitan planning organizations -- Analytical procedures to support a congestion management review.

This volume presents the proceedings of the 11th International Conference on the Design of Cooperative Systems (COOP 2014). The conference is a venue for multidisciplinary research contributing to the design, assessment and analysis of cooperative systems and their integration in organizations, public venues, and everyday life. COOP emerged from the European tradition of Computer Supported Cooperative Work (CSCW) and Cognitive Ergonomics as practiced in France. These proceedings are a collection of 28 papers reflecting the variety of research activities in the field, as well as an increasing interest in investigating the use and design of ICT in all aspects of everyday life and society, and not merely in the workplace. The papers represent a variety of research topics, from healthcare to sustainable mobility to disaster response, in settings from all over the world. For the first time, the proceedings include papers presented in an Early-Career Researchers Track which was organized in order to give young researchers the opportunity to discuss their work with an international community. This collection of papers provides a picture of new developments and classic topics of research around cooperative systems, based on the principle that a deep knowledge of cooperative practices is a key to understanding technology impacts and producing quality designs. The articles presented will appeal to researchers and practitioners alike, as they combine an understanding of the nature of work with the possibilities offered by novel digital technologies.