Safety

The Detroit Metropolitan Wayne County Airport is currently designing an ITS network that adds 15 CCTVs and 2 DMSs, and upgrades 2 traffic signal intersection controllers and 4 portal lane use controllers. In an effort to leverage the benefits derived from the ITS network, the information is being shared among various departments at the Airport. ITS field devices are controlled from the TMC and are operated by Police Dispatch personnel. In addition to the CCTV images being available at the TMC, all CCTV images are available to the Security Control Center (SCC) for use by Airport Security personnel. A primary objective of the ITS network is to provide integrated ITS solutions for Airport Public Safety and Security personnel while increasing mobility for the Airport patrons. From a Concept of Operations perspective, after all phases of the project are completed, the system shall also provide the tools to detect changes in current traffic operating conditions, verify the change in traffic conditions, and implement appropriate response plans to enhance motorist safety and mobility while providing efficient use of available roadway.

Detroit Metropolitan Wayne County Airport

Iteris

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

Monitoring activities in outdoor traffic scenes has applications in areas such as data collection, monitoring for traffic congestion, and surveillance for safety. In this project, we develop a camera based sensing system for monitoring activities at intersections. Two different components of the system are the vision module and the incident detection module, the former being responsible for providing information about the scene such as vehicle position, velocity, shape, etc. The incident detection module is responsible for detecting incidents such as collisions and near misses. The focus of this work is on the vision module, in particular vehicle tracking. Tracking in outdoor scenes using camera is aected by illumination changes, traffic congestion, clutter, and stop-and-go motion of the vehicles. In this paper, we show that we can attain decent tracking despite these conditions by using two different tracking modalities. The rst one is a region tracker which uses the results of the scene segmentation for tracking. The second tracker known as the Mean Shift Tracker, makes use of the color distribution of the vehicles. The results from the two trackers, namely, the vehicle's position
are combined sequentially in each step.
Keywords{ Motion segmentation, tracking, Mean Shift Tracking, data association.

University of Minnesota

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

Relationships between speed choice and crash occurrence have been difficult to identify. This work examines detected speeds derived from single loops for several Southern California freeways, within and across freeway lanes, together with corresponding crash data. While a variety of factors clearly influence speed and speed variance, there is no evidence that speeds or their variation trigger crashes.

The University of Texas at Austin

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

The University of Texas at Austin

This paper describes the results of using Computer Aided Dispatch (CAD) generated incidents as an incident detection method in an Advanced Traffic Management System (ATMS). An effort was completed in April of 2002 at TransGuide, the Texas Department of Transportation’s Traffic Management Center (TMC) located in San Antonio, Texas, to integrate CAD or 911 call center incidents from the City of San Antonio Police Department (SAPD) into the TransGuide ATMS.

Southwest Research Institute

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

The Federal Motor Carrier Safety Administration’s new research and technology program – Driver, Vehicle, and Roadside Strategies for 2010 (DVRS for 2010) – adopted a data-driven methodology to maximize its research funds and to ensure that its research activities directly support the agency’s mission and safety goals.  The chosen methodology combines statistical analyses, a balanced scorecard approach, and the gathering of expert opinion to achieve the program’s objectives.  DVRS for 2010 is among the first programs within FMCSA to explicitly link its funding decisions to the agency’s performance measures and expected safety benefits.  A modified form of the DVRS for 2010 methodology currently is being integrated into all of FMCSA’s research and technology activities.  This paper discusses the DVRS for 2010 methodology, the program’s key findings and how some of the program’s components are being mainstreamed into research and technology initiatives across FMCSA.

Cambridge Systematics, Inc.

Federal Motor Carrier Safety Administration

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