Safety

Research and development related to side collision warning systems has been directed at light vehicles and long-haul trucks. In this paper, we present evidence that supports our hypothesis that the side collision warning systems for transit buses are very different as they must focus on detecting pedestrians. This includes a preliminary analysis of pedestrian- bus accident claims data for the Port Authority of Pittsburgh, interviews with bus drivers, and an evaluation of what a driver can actually see. Past research, as well as experience with a collision warning system developed for long-haul trucks and installed on a bus, provides some partial solutions to these problems. A review of relevant literature and an evaluation of existing systems are presented. Based on the results of this preliminary research, a plan for developing a performance specification for a side collision warning systems for buses is presented.

University of Minnesota - Department of Civil Engineering

Carnegie Mellon University - Robotics Institute

Presented at the 10th ITS Annual Conference and Exposition, May 1-4, 2000 Boston, MA

With the objective of reducing injury and accident severity, as well as improving the safety and efficiency of human driving, vision-based driver assistance system becomes an active research area among au-tomotive manufacturers, suppliers and Universities. This paper presents
the real-time monocular vehicle detection system in Ford’s Ford Telemat-ics to Safety (T2S) Concept Vehicle. The system acquires grey level images through a forward facing low light camera and achieves an average detec-tion rate of 10Hz. The monocular system was tested under different traffic scenarios (e.g., simply structured highway, complex urban street, varying
weather conditions), illustrating good performance.

Ford Motor Company

University of Nevada, Reno

Presented at the ITS America Annual Conference and Exposition, April 26 - 28, 2004 San Antonio, Texas

Tunnels are sensitive road segments in the road network. The singularity of the tunnels
presents characteristics such as closed environment, artificial luminosity, ventilation, a limited
number of exits, etc. These characteristics imply not only the installation of specific
equipment (CCTV, CO, fire detectors, etc.) but also the traffic management and control in the
surrounding area has to be managed in a distinct way of the rest of the elements of the road
network. When an incident nearby the tunnel, it is necessary to develop a set of measures of
management and coordination between organizations that control the surrounding area of the
tunnel because the consequences can affect the traffic in the tunnel, so new problems can
appear. The aim of the present article is to show the developed methodology by the
‘Dirección General de Tráfico’ (DGT) to create the actuation protocols face to incidents in
tunnels.

Dirección General de Tráfico

Universitat Jaume I de Castelló

Instituto de Robótica – Universidad de Valencia

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

The magnitude of societal and economic impacts associated with recent natural and manmade
disasters has generated heightened awareness of the importance of infrastructure
resiliency. Transportation systems are key to response and recovery at the regional level.
These systems must hold up under stress maintaining baseline service levels and must be
robust enough in physical design and operational concept to provide a degree of selfrestoration
to prevent a destructive event from becoming the catalyst for a degenerative
epoch. Implications of non-resilient transportation systems on quality of life and economic
efficacy of a locality or region are tremendous. Engineering disciplines have made great
advances in design and assessment, increasing resiliency for the built environment. However,
those involved in infrastructure investment decisions face a significant challenge when
seeking guidance for measuring resiliency for complex and adaptive systems such as
transportation. Decision makers need metrics, integrating frameworks, and decision support
tools to test investment strategies against a range of potential event sequences. The objective of this paper is to present a conceptual framework and methodology to aid in the
quantification of the concept of transportation resiliency.

Utah State University

University of Massachusetts Amherst

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

This paper extensively reviews a wide range of state-of-the-art techniques for incident detection algorithms. The principles of those algorithms are introduced and the advantage and disadvantage are compared. This paper examines the current development in this research area, identifies the problems pending to be solved on this subject, and recognizes some positive experiences in AID algorithm development. This paper gives a comprehensive literature review for the researcher attempting to obtain a better understanding of AID algorithm. The conclusions of the paper provide useful insight in AID algorithm development and improvement.

AECOM USA, Inc.

Florida International University

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