Evaluation of Iowa Crash Data Reported to MCMIS Crash File

Evaluation of Iowa Crash Data Reported to MCMIS Crash File PDF Author: Daniel Blower
Publisher:
ISBN:
Category : Bus accidents
Languages : en
Pages : 36

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Book Description
MCMIS Crash File records were matched to the Iowa Police Accident Report (PAR) file to determine the nature and extent of underreporting. Overall, it appears that Iowa is reporting 71.6 percent of crash involvements that should be reported to the Crash file.

Evaluation of Iowa Crash Data Reported to MCMIS Crash File

Evaluation of Iowa Crash Data Reported to MCMIS Crash File PDF Author: Daniel Blower
Publisher:
ISBN:
Category : Bus accidents
Languages : en
Pages : 36

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Book Description
MCMIS Crash File records were matched to the Iowa Police Accident Report (PAR) file to determine the nature and extent of underreporting. Overall, it appears that Iowa is reporting 71.6 percent of crash involvements that should be reported to the Crash file.

Evaluation of Electronic Collection of Vehicle Crash Data in Iowa

Evaluation of Electronic Collection of Vehicle Crash Data in Iowa PDF Author: Turhan Yerdelen
Publisher:
ISBN:
Category :
Languages : en
Pages : 188

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Book Description
As the primary source of highway safety data, vehicle crash data may not always be timely or meet the needs of analysts. Collecting and processing crash data is also time consuming and labor intensive for agencies and states. Emerging technologies are suggested to have potential to facilitate and shorten the data collection process, increase officer efficiency, and improve the quality of crash data collected. To that effect, the Iowa Department of Transportation, in cooperation with other agencies and states, developed the Mobile Accident Reporting System (MARS) in 1995. In 1997, the system was chosen by the Federal Highway Administration (FHWA) as the National Model for the Statewide Application of Data Collection & Management Technology to Improve Highway Safety, now known as Traffic and Criminal Software (TraCS). The objective of this research is to evaluate the efficiency of Iowa's electronic crash data collection system (TraCS) through field studies and database analyses based on the latest data and knowledge, and to document whether the system meets expectations such as better quality crash data (more accurate, complete, consistent, timely data), reduced data collection time in the field, and other suggested benefits. For this purpose, three studies were performed: Attribute Quality Assessment-whether electronic collection of crash data helps improve the quality of attributes (accuracy, completeness, consistency, legibility); Location Accuracy-whether the system improves accuracy of crash location; Report Completion Time-whether the system helps save officer time at scene. The attribute quality validated randomly selected paper reports with TraCS and compared the information on the same paper reports to those of the Iowa database. The location accuracy study was a before and after study on the crash database for unlocated and mislocated crashes for two location processes, node based versus GIS based. The report completion time study was performed in ten law enforcement agencies in Iowa. With the participation of 47 officers, report completion times for paper and electronic reporting processes were measured based on a hypothetical crash scenario created for this purpose.

Evaluation of Illinois Crash Data Reported to Motor Carrier Management Information System Crash File

Evaluation of Illinois Crash Data Reported to Motor Carrier Management Information System Crash File PDF Author: Anne Matteson
Publisher:
ISBN:
Category : Bus accidents
Languages : en
Pages : 72

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Crash Data Validation

Crash Data Validation PDF Author: Reginald R. Souleyrette
Publisher:
ISBN:
Category : Databases
Languages : en
Pages : 30

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Book Description
With the quickening pace of crash reporting, the statistical editing of data on a weekly basis, and the ability to provide working databases to users at CTRE/Iowa Traffic Safety Data Service, the University of Iowa, and the Iowa DOT, databases that would be considered incomplete by past standards of static data files are in "public use" even as the dynamic nature of the central DOT database allows changes to be made to both the aggregate of data and to the individual crashes already reported. Moreover, the "definitive" analyses of serious crashes will, by their nature, lag seriously behind the preliminary data files. Even after these analyses, the dynamic nature of the mainframe data file means that crash numbers can continue to change long after the incident year. The Iowa DOT, its Office of Driver Services (the "data owner"), and institutional data users/distributors must establish data use, distribution, and labeling protocols to deal with the new, dynamic nature of data. In order to set these protocols, data must be collected concerning the magnitude of difference between database records and crash narratives and diagrams. This study determines the difference between database records and crash narratives for the Iowa Department of Transportation's Office of Traffic and Safety crash database and the impacts of this difference.

Evaluation of Washington Crash Data Reported to Motor Carrier Management Information System Crash File

Evaluation of Washington Crash Data Reported to Motor Carrier Management Information System Crash File PDF Author: Daniel Blower
Publisher:
ISBN:
Category : Bus accidents
Languages : en
Pages : 38

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Book Description
to the MCMIS Crash File was significantly incomplete. This report examines the sources of underreporting for the state of Washington.

Evaluation of New Mexico Crash Data Reported to MCMIS Crash File

Evaluation of New Mexico Crash Data Reported to MCMIS Crash File PDF Author: Green Paul E.
Publisher:
ISBN:
Category : Bus accidents
Languages : en
Pages : 60

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Book Description


Evaluation of Maryland Crash Data Reported to Motor Carrier Management Information System Crash File

Evaluation of Maryland Crash Data Reported to Motor Carrier Management Information System Crash File PDF Author: Paul Eric Green
Publisher:
ISBN:
Category :
Languages : en
Pages : 41

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Book Description
Data quality is also reviewed. The MCMIS file is examined for missing data rates and the Maryland PAR file is compared to the MCMIS Crash file with respect to vehicle type for reportable and matched cases.

Evaluation of 2006 Idaho Crash Data Reported to the MCMIS Crash File

Evaluation of 2006 Idaho Crash Data Reported to the MCMIS Crash File PDF Author: Paul Eric Green
Publisher:
ISBN:
Category :
Languages : en
Pages :

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Book Description
This report is part of a series evaluating the data reported to the Motor Carrier Management Information System (MCMIS) Crash File undertaken by the Center for National Truck and Bus Statistics at the University of Michigan Transportation Research Institute. The earlier studies showed that reporting to the MCMIS Crash File was incomplete. This report examines the factors that are associated with reporting rates for the state of Idaho. MCMIS Crash File records were matched to the Idaho Crash file to determine the nature and extent of underreporting. Overall, it appears that Idaho is reporting 72.9 percent of crash involvements that should be reported to the MCMIS Crash file. Reporting rates vary by crash severity and vehicle type. Overall, more than 90 percent of fatal and injured/transported involvements are reported, but the rate drops to 60.7 percent for crashes that are reportable based on the towed and disabled criterion. Furthermore, 86 percent of the unreported cases fall into the towed and disabled category. It appears that injury-related crashes tend to be reported, while those involving no injury are less likely to be reported. Crashes involving large trucks such as tractor-semitrailers or doubles combinations were more likely to be reported than crashes involving small, single-unit trucks or buses. The reporting rate for the state police is 82.0 percent, while the rate for police departments is 55.7 percent.Missing data rates, except for a few variables, are generally low in the MCMIS Crash file. Compatibility between the vehicle configuration and number of fatalities variables in the Idaho Data file and the MCMIS Crash file is generally good.

Evaluation of 2007 Oklahoma Crash Data Reported to the MCMIS Crash File

Evaluation of 2007 Oklahoma Crash Data Reported to the MCMIS Crash File PDF Author: Daniel Frederick Blower
Publisher:
ISBN:
Category : Bus accidents
Languages : en
Pages : 36

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Book Description


Evaluation of 2005 Indiana Crash Data Reported to the MCMIS Crash File

Evaluation of 2005 Indiana Crash Data Reported to the MCMIS Crash File PDF Author: Paul Eric Green
Publisher:
ISBN:
Category : Traffic accidents
Languages : en
Pages : 31

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Book Description
This report is part of a series evaluating the data reported to the Motor Carrier Management Information System (MCMIS) Crash File undertaken by the Center for National Truck and Bus Statistics at the University of Michigan Transportation Research Institute. Earlier studies showed that reporting to the MCMIS Crash File was incomplete. This report examines the factors that are associated with reporting rates for the state of Indiana. MCMIS Crash File records were matched to the Indiana Crash file to determine the nature and extent of underreporting. Overall, it appears that Indiana is reporting 80.5 percent of crash involvements that should be reported to the MCMIS Crash file. Based on crash severity, the reporting rate is 90.3 percent for fatal crashes, 81.9 percent for injured/transported crashes, and 79.6 percent for towed crashes. It appears that at least two different crash report forms are in use in Indiana, resulting in a reported injury severity distribution that differs considerably from those reported in other states. The reporting rate for trucks is 81.0 percent, and the rate for buses is 73.4 percent. The reporting rate for the State Police is 87.6 percent, while the rate for the Indianapolis Police Department is 66.0 percent. It appears that 97 of the 7,193 reportable cases involved explosion or fire and 11 of these were not reported. Of the 97 vehicles, at least 46 involved no injury (7 vehicles unknown).Missing data rates are low for most variables, except as noted. Some inconsistencies between data reported to the MCMIS file and data recorded in the Indiana file were also noted.