Safety

Presentation

• Need

– For forward collision warning applications, need accurate estimation of host vehicle forward path and state to determine in-path vs. out-of-path vehicles

– Single sensor systems (gyro, vision, GPS, radar) have high error and drop-out rates due to sensor limitations and degradations (weather, visibility, traffic density, road state, buildings, etc.)

– Multi-sensor systems could potentially increase accuracy, but need smart fusion methods to handle individual sensor drop-outs and incomplete/redundant/contradictory outputs

• Objectives

– Develop algorithms to fuse multiple sensors to improve accuracy and reliability of host vehicle forward path and state (as part of ACAS-FOT program)

• Status

– Multi-sensor fusion module completed and integrated into ACAS-FOT prototype vehicle (Phase 1 testing complete)

HRL Laboratories, LLC

Presented at the ITS America Annual Conference and Exposition, April 29 –May 2, 2002 Long Beach, California

This paper will discuss the Automatic Incident Detection (AID) system along the I-95 corridor in the Philadelphia area, the first of its kind in this region. The paper specifically focuses on data errors and error sources, and presents findings of the data analysis. The AID system is expected to greatly enhance the Pennsylvania Department of Transportation, Engineering District 6-0’s (PENNDOT 6-0’s) Traffic Control Center (TCC) day-to-day management and operations. The AID system helps to improve response to incidents by providing rapid information to the proper emergency service providers allowing for shorter incident duration, thereby quicker cleanup operation and bringing the highway back to normal operation. Automatic systems for incident detection are useful in large traffic management systems to detect incidents while operators are busy with other tasks.

Jacobs Edwards & Kelcey, Inc.

Presented at the ITS America Annual Conference and Exposition, May 19-22, 2003 Minneapolis, Minnesota

The Advanced Crash Avoidance Technologies (ACAT) program will develop a Safety Impact Methodology (SIM) tool with the capability to assess benefits of vehicle crash avoidance technologies.  Four project teams were selected to develop a SIM to assess safety benefits of the following technologies: Advanced Collision Mitigation Braking System; Lane Departure Warning Technologies; Backing Crash Countermeasures; and Forward Pre-Collision Safety Systems.  Safety impact assessment for these vehicle crash avoidance systems will utilize a combination of national crash databases; data gathered from previous projects, data that will be collected from test track and driving simulator experiments, and data that will be generated from computer simulation.

National Highway Traffic Safety Administration, U.S. Department of Transportation

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

Arizona  DOT  and  Maricopa  County  DOT  have  recently  launched  the  Arizona  E-
VII program.  This paper outlines the goals, scope, and current activities under this
technology development and testing program.  This program is focused on rapidly
developing  and  deploying  real-world,  high-impact  systems  aimed  at  improving
safety,  mobility,  emergency  response,  and  travel  time  reliability  for  public  safety
applications.

Kimley-Horn & Associates

University of Arizona

Arizona State University

Econolite

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

As an example of the newly established ITS Archive Data User Service (ADUS), this study utilizes information technologies to archive incident data collected by NAVIGATOR, Georgia’s ITS system, which makes it feasible to incorporate sophisticated speed contour and incident mappings to unveil the possible causal factors of secondary accidents. This study brought out a new definition of secondary accidents: an accident is a secondary accident if it falls in the congested contour area caused by the initial incident. Preliminary findings in this study demonstrated the suitability and usability of such a definition. State Department of Transportation and local transportation agencies could exploit the possible benefit of eliminating all the secondary accidents to enhance the support for the deployment of Intelligent Transportation System.

Georgia Institute of Technology

Presented at the ITS America Annual Conference and Exposition, April 29 –May 2, 2002 Long Beach, California