Safety

This paper focuses on the use of the Benefit-Cost-Deficit (BCD) model as a
framework for input data vectors of redundant prediction tools. A case-based reasoning
system and a neural network system are developed and applied to predict particular intentional
human errors: traffic violations called barrier removals made the car drivers. Two groups of
input data are compared: a group containing the data from the car and from the human actions
and a group containing the translation of these data in terms of BCD parameters. Results
obtained by the redundant prediction tools using both groups of input data are discussed.

University of Valenciennes

Presented at the ITS America Annual Conference and Exposition, November 16-20, 2008, New York, New York

A discussion of electrical power, its origins, distribution, problems, and applicable consequences including a review of their effects created by Mother Nature as well as man made systems. The direct effect on various types of traffic controllers, conflict monitors, cameras and other devices will be covered. Additional subjects will include the costs associated with downtime and repair of traffic equipment directly related to power problems, how to analyze power problems and determine effects and steps that must be taken to eliminate the problems and power quality analysis and testing equipment applications. A review of the different types of equipment utilized to correct various problems including surge suppression, voltage regulation, current regulation, battery backup, and uninterruptible power systems.

Clary Corporation

Paper submitted for publication and presentation at the ITS America’s 2009 Annual Meeting and Exposition

The aim of this study was to assess the potential impacts of real-time personal road traffic invehicle information systems on injury accidents in such a way that the results can be used when
deciding on the participation of the public sector in implementing road traffic in-vehicle
information systems in Finland. Additional aims were to determine other impacts of in-vehicle
information systems on traffic flow, emissions and choice of travel mode. A literature review and
an expert survey were used to measure the safety impacts. The results indicate that a weather and
road condition warning service and a well-implemented route and service guidance system would
improve traffic safety and reduce the number of injury accidents in Finland. Incident warning
systems do not have a notable safety impact in due to the small number of incidents on Finnish
roads, but their primary purpose is to improve traffic flow.

VTT Technical Research Centre of Finland

Presented at the 15th World Congress on Intelligent Transport Systems, November 16-20, 2008, New York, New York

Plan4Safety is a powerful tool that provides a myriad of benefits for safety professionals in New Jersey. This web-based application is a multi-layered decision support program for transportation engineers, planners, enforcement, and decision makers in New Jersey’s transportation and safety agencies to analyze crash data in tabular and geospatial forms. Besides identifying crash hot spots which merit further investigation, and prioritizing them for potential safety improvements, Plan4Safety integrates statewide crash data and roadway characteristic data, calculates statistical analyses, incorporates network screening layers and models, offers a diagnosis and countermeasures tool based on FHWA best practices, prioritizes countermeasures using economic analysis methods, proposes safety countermeasure post-evaluation and includes a visual analytical tool (GIS).
In this paper, different functionalities provided by Plan4Safety and technical methods supporting then are presented followed by a number of real cases illustrating Plan4Safety applications.

Authors: Mohsen A. Jafari, Ali Maher, Niloufar S. Mirhosseini

Presented at the 18th World Congress on ITS, October 2011, Orlando, Florida