Marco daSilva

ESTIMATION OF CRASH INJURY SEVERITY REDUCTION FOR INTELLIGENT VEHICLE SAFETY SYSTEMS

A novel methodology is presented to estimate the safety benefits of intelligent vehicle safety systems in terms of reductions in the number of collisions and the number and severity of crash-related injuries. In addition, mathematical models and statistics are provided to support the estimation of the crash injury reduction factor in rear-end, lane change, and single vehicle roadway departure collisions. Statistics on the distribution of vehicle types and weights in the United States are supplied. Moreover, mathematical equations are derived to estimate the average harm per collision. Finally, statistics on the average harm per occupant are obtained from the 1994 and 1995 Crashworthiness Data System crash databases. (A) For the covering abstract see ITRD E106371.

Safety benefits estimation of an intelligent cruise control system using field operational test data

The potential safety benefits of an Intelligent Cruise Control (ICC) system are assessed in terms of the number of rear-end crashes that might be avoided on US freeways if all vehicles were equipped with such a system. This analysis utilizes naturalistic driving data collected from a field operational test that involved 108 volunteers who drove ten passenger cars for about 68 and 35 thousand miles in manual and ICC control modes, respectively. The effectiveness of the ICC system is estimated at about 17 percent based on computer simulations of two rear-end precrash scenarios that are distinguished by whether the following vehicle encounters a suddenly-decelerating or slow-moving lead vehicle. The ICC system has the potential to eliminate approximately 13 thousand police-reported rear-end crashes on US freeways, using 1996 national crash statistics. (A) For the covering abstract see IRRD E102826.

PRELIMINARY RESULTS OF THE TRESPASS PREVENTION RESEARCH STUDY IN WEST PALM BEACH, FLORIDA

The United States Department of Transportation’s (US DOT) Research and Innovative Technology Administration’s John A. Volpe National Transportation Systems Center (Volpe Center), under the direction of the US DOT Federal Railroad Administration (FRA) Office of Research and Development (R&D), is conducting a Trespass Prevention Research Study (TPRS) in the city of West Palm Beach, Florida. The main objective of this research is to demonstrate potential benefits, including documenting best practices and lessons learned, of implementation and evaluation of trespass prevention strategies on the rail network in West Palm Beach, Florida and all of its rights-of-way. This technical paper will describe and provide the most up-to-date results from this study, which is beginning its second year of a three year study period. The cumulative results of the trespass prevention strategies will be analyzed to better inform the determination of areas of potential risk, develop solutions to prevent and minimize risk exposure and implement successful countermeasures in the future. Preliminary analysis from the WPB corridor trespass prevention activities are described in this technical paper. The ultimate objective of the research is to aid in the development of national recommendations or guidelines for reducing trespass-related incidents and fatalities.

Development and Implementation of a Trespass Location Severity Analysis on a Commuter Rail Right of Way

The United States Department of Transportation’s (USDOT) Research and Innovative Technology Administration’s John A. Volpe National Transportation Systems Center (Volpe Center), under the direction of the USDOT Federal Railroad Administration (FRA) Office of Research and Development (R&D), is conducting a Trespass Prevention Research Study (TPRS) in the city of West Palm Beach, Florida. The main objective of this research is to demonstrate potential benefits, including documenting best practices and lessons learned, of implementation and evaluation of trespass prevention strategies on the rail network in West Palm Beach, Florida and all of its rights-of-way.This paper will detail the development and implementation of a risk based data analysis to determine the locations of highest trespass risk along the TriRail commuter rail corridor through the City of West Palm Beach, FL. This feeds into the overall study objective by providing a methodology for prioritizing safety improvement programs for high-risk trespass locations.The research team used a hazard analysis process based on the U.S. Department of Defense’s MIL-STD-882 and the APTA hazard identification/resolution processes. The adaptation of this methodology facilitated the systematic identification, analysis, and resolution/mitigation of hazards for this study.The research team also developed a risk-based prioritization algorithm for analyzing the trespass issue on the corridor. The hazard analysis and risk-based prioritization algorithm were used to identify several trespass high-risk areas along the TriRail corridor. The results of the analysis have been used by the study’s stakeholder group, composed of railroads, state and local agencies, and their safety partners, to develop a set of mitigation strategies for those higher-risk locations as identified though this analysis.© 2013 ASME

Driver Behavior Analysis Using Vehicle Safety Systems’ Field Operational Test Data

The United States Department of Transportation’s (US DOT) Research and Innovative Technology Administration’s John A. Volpe National Transportation Systems Center (Volpe Center), under the direction of the US DOT Federal Railroad Administration (FRA) Office of Research and Development (R&D), is leveraging the National Highway Traffic Safety Administration (NHTSA) sponsored Integrated Vehicle Based Safety System (IVBSS) Light Vehicle (LV) Field Operational Test (FOT) to collect and analyze drivers’ activities at or on approach to highway-rail grade crossings. Grade crossings in Michigan, Indiana, and Ohio were cross-referenced with IVBSS LV FOT research vehicle location to identify the time research vehicles were present at a crossing. The IVBSS LV FOT included 108 participants that took a total of 22,656 trips. Of the 22,656 total trips, 3,137 trips included a total of 4,215 grade crossing events.The analysis was based of drivers’ activities at the 4,215 grade crossing events. Both looking behavior and distractions did not significantly differ based on gender. However when analyzed per age-group, younger drivers (between 20 to 30 years old) were significantly more likely to be distracted than middle-aged drivers (between 40 to 50 years old) or older drivers (between 60 to 70 years old). For looking behavior, the data revealed that older drivers are more likely to look at least one way at or on approach to highway-rail crossing (43.8 percent exhibited this behavior) than either middle-aged drivers (35.0 percent exhibited this behavior) or younger drivers (25.3 percent exhibited this behavior).© 2012 ASME