Report on a special investigation of the Monona County Auditor’s Office for the period January 1, 2011 through December 31, 2013

Report on a special investigation of the Monona County Auditor’s Office for the period January 1, 2011 through December 31, 2013

Special investigation of the City of West Liberty for the period July 1, 2010 through January 31, 2014

Special investigation of the City of West Liberty for the period July 1, 2010 through January 31, 2014

Special investigation of the Iowa County Treasurer’s Office for the period January 1, 2005 through June 30, 2011

Special investigation of the Iowa County Treasurer’s Office for the period January 1, 2005 through June 30, 2011

Special investigation of the Sac County Treasurer’s Office Motor Vehicle Department for the period January 1, 2010 through February 27, 2014

Special investigation of the Sac County Treasurer’s Office Motor Vehicle Department for the period January 1, 2010 through February 27, 2014

Quantifying Uncertainty in Real Time Performance Measurement for Highway Winter Maintenance Operations – Phase 2, RB03-013, 2014

Winter weather in Iowa is often unpredictable and can have an adverse impact on traffic flow. The Iowa Department of Transportation (Iowa DOT) attempts to lessen the impact of winter weather events on traffic speeds with various proactive maintenance operations. In order to assess the performance of these maintenance operations, it would be beneficial to develop a model for expected speed reduction based on weather variables and normal maintenance schedules. Such a model would allow the Iowa DOT to identify situations in which speed reductions were much greater than or less than would be expected for a given set of storm conditions, and make modifications to improve efficiency and effectiveness. The objective of this work was to predict speed changes relative to baseline speed under normal conditions, based on nominal maintenance schedules and winter weather covariates (snow type, temperature, and wind speed), as measured by roadside weather stations. This allows for an assessment of the impact of winter weather covariates on traffic speed changes, and estimation of the effect of regular maintenance passes. The researchers chose events from Adair County, Iowa and fit a linear model incorporating the covariates mentioned previously. A Bayesian analysis was conducted to estimate the values of the parameters of this model. Specifically, the analysis produces a distribution for the parameter value that represents the impact of maintenance on traffic speeds. The effect of maintenance is not a constant, but rather a value that the researchers have some uncertainty about and this distribution represents what they know about the effects of maintenance. Similarly, examinations of the distributions for the effects of winter weather covariates are possible. Plots of observed and expected traffic speed changes allow a visual assessment of the model fit. Future work involves expanding this model to incorporate many events at multiple locations. This would allow for assessment of the impact of winter weather maintenance across various situations, and eventually identify locations and times in which maintenance could be improved.

Audit report of the Honey Creek Resort Operations Account managed by Central Group Management, LLC (Honey Creek Resort) as of and for the year ended June 30, 2014

Audit report of the Honey Creek Resort Operations Account managed by Central Group Management, LLC (Honey Creek Resort) as of and for the year ended June 30, 2014

Audit report on the Honey Creek Resort Operations Account maintained by Central Group Management, LLC for the year ended June 30, 2014

Audit report on the Honey Creek Resort Operations Account maintained by Central Group Management, LLC for the year ended June 30, 2014

Report on a special investigation of the Martensdale-St. Marys Community School District for the period July 1, 2009 through April 30, 2014

Report on a special investigation of the Martensdale-St. Marys Community School District for the period July 1, 2009 through April 30, 2014

Report on a special investigation of the Mid-Prairie Community School District for the period July 1, 2012 through June 30, 2014

Report on a special investigation of the Mid-Prairie Community School District for the period July 1, 2012 through June 30, 2014

Report on a special investigation of the University of Northern Iowa International Dance Theatre for the period December 1, 2005 through February 28, 2014

Report on a special investigation of the University of Northern Iowa International Dance Theatre for the period December 1, 2005 through February 28, 2014

Report on a special investigation of Café DMACC within Des Moines Area Community College campus in Ankeny, Iowa for the period January 4, 2013 through May 2, 2014

Report on a special investigation of Café DMACC within Des Moines Area Community College campus in Ankeny, Iowa for the period January 4, 2013 through May 2, 2014

Effects of Road Construction Intensity and Operations on Rural Freeway Work Zone Capacity, TPF-5(081), 2014

Capacity is affected by construction type and its intensity on adjacent open traffic lanes. The effect on capacity is a function of vehicles moving in and out of the closed lanes of the work zone, and the presence of heavy construction vehicles. Construction activity and its intensity, however, are not commonly considered in estimating capacity of a highway lane. The main purpose of this project was to attempt to quantify the effects of construction type and intensity (e.g. maintenance, rehabilitation, reconstruction, and milling) on work zone capacity. The objective of this project is to quantify the effects of construction type and its intensity on work zone capacity and to develop guidelines for MoDOT to estimate the specific operation type and intensity that will improve the traffic flow by reducing the traffic flow and queue length commonly associated with work zones. Despite the effort put into field data collection, the data collected did not show a full speed-flow chart therefore extracting a reliable capacity value was difficult. A statistical comparison between the capacity values found in this study using either methodologies indicates that there is an effect of construction activity on the values work zone capacity. It was found that the heavy construction activity reduces the capacity. It is very beneficial to conduct similar studies on the capacity of work zone with different lane closure barriers, which is also directly related to the type of work zone being short-term or long-term work zones. Also, the effect of different geometric and environmental characteristics of the roadway should be considered in future studies.

The White Cane Magazine, Special Edition 2014

Quarterly newsletter produced by the Iowa Department of Blind, about the information and activities that are on going in the department.

Report on a special investigation of the City of Vining for the period May 1, 2008 through May 31, 2014

Report on a special investigation of the City of Vining for the period May 1, 2008 through May 31, 2014

Effect of Video Camera-Based Remote Roadway Condition Monitoring on Snow Removal-Related Maintenance Operations. 2014

Remote monitoring through the use of cameras is widely utilized for traffic operation, but has not been utilized widely for roadway maintenance operations. The Utah Department of Transportation (UDOT) has implemented a new remote monitoring system, referred to as a Cloud-enabled Remote Video Streaming (CRVS) camera system for snow removal-related maintenance operations in the winter. The purpose of this study was to evaluate the effectiveness of the use of the CRVS camera system in snow removal-related maintenance operations. This study was conducted in two parts: opinion surveys of maintenance station supervisors and an analysis on snow removal-related maintenance costs. The responses to the opinion surveys mostly displayed positive reviews of the use of the CRVS cameras. On a scale of 1 (least effective) to 5 (most effective), the average overall effectiveness given by the station supervisors was 4.3. An expedition trip for this study was defined as a trip that was made to just check the roadways if snow-removal was necessary. The average of the responses received from surveys was calculated to be a 33 percent reduction in expedition trips. For the second part of this study, an analysis was performed on the snow removal-related maintenance cost data provided by UDOT to see if the installation of a CRVS camera had an effect in reducing expedition trips. This expedition cost comparison was performed for 10 sets of maintenance stations within Utah. It was difficult to make any definitive inferences from the comparison of expedition costs over the years for which precipitation and expedition cost data were available; hence a statistical analysis was performed using the Mixed Model ANOVA. This analysis resulted in an average of 14 percent higher ratio of expedition costs at maintenance stations with a CRVS camera before the installation of the camera compared to the ratio of expedition costs after the installation of the camera. This difference was not proven to be statistically significant at the 95 percent confident level, but indicated that the installation of CRVS cameras was on the average helpful in reducing expedition costs and may be considered practically significant. It is recommended that more detailed and consistent maintenance cost records be prepared for accurate analysis of cost records for this type of study in the future.