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Dive into the research topics where Marie Flanigan is active.

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Featured researches published by Marie Flanigan.


SHRP 2 Report | 2014

Naturalistic Driving Study: Field Data Collection

Alan Blatt; John Pierowicz; Marie Flanigan; Pei-Sung Lin; Achilleas Kourtellis; Chanyoung Lee; Paul Jovanis; James Jenness; Martha Wilaby; John L Campbell; Christian Richard; David Good; Nora Czar; Michelle Hoover

This report describes the six Strategic Highway Research Program 2 (SHRP 2) naturalistic driving study (NDS) data collection centers and documents their data collection activities and strategies. The study centers were located in Bloomington, Indiana; State College, Pennsylvania; Buffalo, New York; Tampa, Florida; Durham, North Carolina; and Seattle, Washington. They collected data from more than 3,000 volunteer participants and their vehicles over a 3-year period. Information is provided on the recruitment and assessment of test participants, installation of NDS data acquisition systems into participant vehicles, management of the enrolled participants and their vehicles, retrieval of data from the vehicle fleet, and lessons learned. The report will be of interest to analysts wanting background on where and how the NDS data were collected and to researchers planning future large-scale NDS projects.


Transportation Research Record | 2010

Emergency Response Technology and Integrated Active Transportation System: State of the Art and Vision for the Future

Marie Flanigan; Alan Blatt; Mary Russell; Rajan Batta; Kunik Lee

Current and near-term technologies that support real-time emergency response to car crashes are described. A vision for emergency response and rescue as it might appear in 20 years under a fully integrated active transportation system (IATS) is provided. First, a baseline on which to build such a vision is established. Response to a single-casualty or multicasualty motor vehicle crash was selected as a specific use case. A systems approach was used to divide the emergency response process into individual functional steps. Key issues and desired capabilities are identified for each step. Technologies that fall into three categories—state of the practice, state of the art, and future art—are identified. The intent is to determine where research efforts might best be focused to make a generational leap in emergency response capabilities. A vision is described for the future of emergency response and rescue, which could be realized by 2030 as part of the planned IATS. Work is continuing to assess functional needs and potential future technologies (including cyberphysical systems), after which specific areas will be targeted for focused research and development.


Journal of Simulation | 2014

A simulation approach to study emergency response

Matthew J. Henchey; Rajan Batta; Alan Blatt; Marie Flanigan; Kevin Majka

Simulation provides a significant tool in studying transportation systems and emergency response, allowing various scenarios of the ‘smart environments’ to be tested before real-world implementation. The simulation environment built in this paper uses Rockwell ARENA simulation software to provide a test bed for studying emergency response in a transportation network. With the data sources and assumptions used in building a roadway network with realistic traffic flow, accounting for both weather and congestion, a small study area in Western New York (WNY) provides the test bed based on real-life observations. After generating the expected movement of traffic, vehicular crashes are simulated, followed by Emergency Medical Service response. This paper focuses on the development process for building a simulation capable of modelling vehicular movement throughout a study area and a validation of the emergency vehicle travel times through historical crash response data in an existing traffic network. Its goal is to provide the basis of future work, enabling advanced transportation systems to be evaluated with respect to increased situation awareness resulting from optimized sensor placement, data fusion techniques and improved emergency response.


Archive | 2015

Locating Intelligent Sensors on a Transportation Network to Facilitate Emergency Response to Traffic Incidents

Tejswaroop Geetla; Rajan Batta; Alan Blatt; Marie Flanigan; Kevin Majka

According to the Federal Highways Administration (FHWA) study presented in Office of Highway Policy Information there are 254 million registered motor vehicles in the U.S. Each year this number continues to grow, increasing utilization of the road transportation network. In 2009 alone there were an estimated 2.2 million injuries related to traffic incidents and 33,808 fatalities from these injuries. In addition, traffic incident related fatalities ranked sixth in the list of preventable fatalities in the U.S.


Transportation Research Record | 2014

Improving the Quality of Weather Information Provided to Emergency Medical Services Responding to Motor Vehicle Crashes

Marie Flanigan; Kevin Majka; Alan Blatt; Kunik Lee

When a motor vehicle crash happens, emergency medical services (EMS) offer the best prospects for injured occupants. It is therefore important to address any issue that can have a negative impact on the effectiveness of EMS response to a crash. One such issue relates to shortfalls in the accuracy and completeness of current and forecast weather information. These shortfalls are often attributable to limitations in the geographic resolution of measured data as well as difficulties with obtaining real-time access to updated weather as an event unfolds. This paper examines the need for improved weather information to support both ground and air EMS response. Operating environments for responders are examined, and established sources of measured weather data are described, in particular, the system of automated weather stations that support current and forecast weather reporting in the United States. Existing and emerging mobile sensor platforms, which could broaden the geographic extent of measured data especially as advanced intelligent transportation systems evolve, are then considered. Next, a review of weather-related issues identified in reports from helicopter EMS (HEMS) pilots and in severe weather after-action reports from municipalities is presented. For ground responders, a need for real-time, route-specific weather information was identified. For air responders, the system of airport-based weather observation stations developed for fixed-wing aircraft was found to be inadequate for HEMS. A rational, stepwise approach for expanding weather data collection to create a more spatially resolved, low-altitude weather information system to support HEMS is presented.


Transportation Research Board 89th Annual MeetingTransportation Research Board | 2010

Application of a Humanitarian Relief Logistics Model to an Earthquake Disaster

Yen-Hung Lin; Rajan Batta; Peter A. Rogerson; Alan Blatt; Marie Flanigan


Archive | 2009

A logistics model for delivery of critical items in a disaster relief operation: heuristic approaches y

Yen-Hung Lin; Rajan Batta; Peter A. Rogerson; Alan Blatt; Marie Flanigan


Air Medical Journal | 2005

Assessment of Air Medical Coverage Using the Atlas and Database of Air Medical Services and Correlations With Reduced Highway Fatality Rates

Marie Flanigan; Alan Blatt; Louis V. Lombardo; Dawn Mancuso; Maile Miller; Dale Wiles; Herbert Pirson; Julie Hwang; Jean-Claude Thill; Kevin Majka


Archive | 2013

Automatic Crash Notification Project: Assessing Montana’s Motor Vehicle Crash and Related Injury Data Infrastructure

Tom Seekins; Alan Blatt; Marie Flanigan


Transportation Research Board 94th Annual MeetingTransportation Research Board | 2015

Utility of Advanced Driver Assistance Systems and Connected Vehicle Technologies for Emergency Medical Services: Emergency Event Use Cases in an Automated and Connected Transportation System

Marie Flanigan; Kevin Majka; Alan Blatt; Kunik Lee

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Kunik Lee

United States Department of Transportation

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Jean-Claude Thill

University of North Carolina at Charlotte

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Louis V. Lombardo

National Highway Traffic Safety Administration

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