Transportation Coordination in Iowa, December 14, 2012

The 2012 Iowa Code section 324A.4, subsection 2, states the Iowa Department of Transportation (DOT) “shall biennially prepare a report to be submitted to the general assembly and the governor prior to December 15 of even-numbered years. The report shall recommend methods to increase transportation coordination and improve the efficiency of federal, state, and local government programs used to finance public transit services and may address other topics as appropriate.” Iowa has long been a leader in transportation coordination, from designated public transit agencies covering all 99 counties with little duplication, to requiring any agency receiving public dollars for the provision of transportation to first coordinate with the local public transit agency before providing the transportation on their own, to the creation of the Iowa Transportation Coordination Council. Coordination allows Iowa to provide much needed transportation services to the citizens of Iowa with the most efficient use of public funds. Coordination has been an important topic in Iowa for many years, but during these times of economic constraint and restraint and Iowa’s changing demographics, coordination of transportation services becomes even more critical.

Iowa Department of Transportation Major Items - Preliminary Quantity Report, February 19, 2013; With Addendums

Weekly letting report.

Iowa Department of Transportation Major Items - Preliminary Quantity Report, March 19, 2013; With Addendums

Weekly letting report.

Neural networks as mechanisms to regulate division of labor.

Abstract In social insects, workers perform a multitude of tasks, such as foraging, nest construction, and brood rearing, without central control of how work is allocated among individuals. It has been suggested that workers choose a task by responding to stimuli gathered from the environment. Response-threshold models assume that individuals in a colony vary in the stimulus intensity (response threshold) at which they begin to perform the corresponding task. Here we highlight the limitations of these models with respect to colony performance in task allocation. First, we show with analysis and quantitative simulations that the deterministic response-threshold model constrains the workers' behavioral flexibility under some stimulus conditions. Next, we show that the probabilistic response-threshold model fails to explain precise colony responses to varying stimuli. Both of these limitations would be detrimental to colony performance when dynamic and precise task allocation is needed. To address these problems, we propose extensions of the response-threshold model by adding variables that weigh stimuli. We test the extended response-threshold model in a foraging scenario and show in simulations that it results in an efficient task allocation. Finally, we show that response-threshold models can be formulated as artificial neural networks, which consequently provide a comprehensive framework for modeling task allocation in social insects.

Iowa Department of Transportation Major Items - Preliminary Quantity Report, April 16, 2013; With Addendums

Weekly letting report.

Special investigation of the Iowa Department of Transportation for the period January 29, 1994 through July 7, 2011

Special investigation of the Iowa Department of Transportation for the period January 29, 1994 through July 7, 2011

Iowa Department of Transportation Major Items - Preliminary Quantity Report, May 21, 2013; With Addendums

Weekly letting report.

Development and Demonstration of a Freezing Drizzle Algorithm for Roadway Environmental Sensing Systems, Final Report, October 2012

The primary goal of this project is to demonstrate the accuracy and utility of a freezing drizzle algorithm that can be implemented on roadway environmental sensing systems (ESSs). The types of problems related to the occurrence of freezing precipitation range from simple traffic delays to major accidents that involve fatalities. Freezing drizzle can also lead to economic impacts in communities with lost work hours, vehicular damage, and downed power lines. There are means for transportation agencies to perform preventive and reactive treatments to roadways, but freezing drizzle can be difficult to forecast accurately or even detect as weather radar and surface observation networks poorly observe these conditions. The detection of freezing precipitation is problematic and requires special instrumentation and analysis. The Federal Aviation Administration (FAA) development of aircraft anti-icing and deicing technologies has led to the development of a freezing drizzle algorithm that utilizes air temperature data and a specialized sensor capable of detecting ice accretion. However, at present, roadway ESSs are not capable of reporting freezing drizzle. This study investigates the use of the methods developed for the FAA and the National Weather Service (NWS) within a roadway environment to detect the occurrence of freezing drizzle using a combination of icing detection equipment and available ESS sensors. The work performed in this study incorporated the algorithm developed initially and further modified for work with the FAA for aircraft icing. The freezing drizzle algorithm developed for the FAA was applied using data from standard roadway ESSs. The work performed in this study lays the foundation for addressing the central question of interest to winter maintenance professionals as to whether it is possible to use roadside freezing precipitation detection (e.g., icing detection) sensors to determine the occurrence of pavement icing during freezing precipitation events and the rates at which this occurs.

Iowa Department of Transportation Major Items - Preliminary Quantity Report, June 18, 2013; With Addendums

Weekly letting report.

Recent misconceptions about the "database search problem": a probabilistic analysis using Bayesian networks

This paper analyses and discusses arguments that emerge from a recent discussion about the proper assessment of the evidential value of correspondences observed between the characteristics of a crime stain and those of a sample from a suspect when (i) this latter individual is found as a result of a database search and (ii) remaining database members are excluded as potential sources (because of different analytical characteristics). Using a graphical probability approach (i.e., Bayesian networks), the paper here intends to clarify that there is no need to (i) introduce a correction factor equal to the size of the searched database (i.e., to reduce a likelihood ratio), nor to (ii) adopt a propositional level not directly related to the suspect matching the crime stain (i.e., a proposition of the kind 'some person in (outside) the database is the source of the crime stain' rather than 'the suspect (some other person) is the source of the crime stain'). The present research thus confirms existing literature on the topic that has repeatedly demonstrated that the latter two requirements (i) and (ii) should not be a cause of concern.

Iowa Department of Transportation Major Items - Preliminary Quantity Report, July 16, 2013; With Addendums

Weekly letting report.

General highway and transportation map,1978.

Contains a highway map of each county in Iowa

Iowa Department of Transportation Major Items - Preliminary Quantity Report, August 20, 2013; With Addendums

Weekly letting report.

2014-2018 Iowa Transportation Improvement Program

This document describes planned investments in Iowa’s multimodal transportation system including aviation, transit, railroads, trails, and highways. A large part of funding available for highway programming comes from the federal government. Accurately estimating future federal funding levels is dependent on having a multiyear federal transportation authorization bill in place and having a sustainable and solvent federal Highway Trust Fund. The most recent federal authorization, Moving Ahead for Progress in the 21st Century (MAP-21), will expire September 30, 2014. At the same time that MAP-21 expires and absent Congressional action, the federal Highway Trust Fund will no longer be able provide funding at current levels resulting in up to a 90 percent reduction in federal highway funding for federal fiscal year 2015. These two issues provide funding uncertainty with this program in fiscal years 2015 and beyond.

Report on the Iowa Department of Transportation for the year ended June 30, 2012

Report on the Iowa Department of Transportation for the year ended June 30, 2012