Highway Rail Crossing Prioritization

Research team members at the University of Kentucky in the Department of Civil Engineering and the Kentucky Transportation Center (KTC) worked with the Kentucky Transportation Cabinet (KYTC) to develop a high-level mechanism for ranking highway-rail crossings for reconstruction and/or rehabilitation. The Highway Rail Crossing Prioritization implementation study yielded the Rail Crossing Improvement Priority (RCIP), which combined qualitative measures of crossing conditions with quantitative measures including proposed project costs and a valuation of the crossing based on rail and truck traffic. This effort provides a template by which further development can yield prioritization procedures for road-rail grade separation projects

Quantifying Roadside Assessment for Highway Safety

Many of Kentucky’s two-lane rural roads pose an above average risk for fixed object crashes. In Kentucky, run-off-road (ROR) collisions with fixed objects account for 18.9% of all crashes and 41.6% of fatal crashes. Accordingly, ROR crashes are a significant public safety hazard that must be addressed through judicious investments in safety improvements. Until recently, transportation engineers and planners have mostly leveraged qualitative metrics to prioritize safety investments, however, qualitative methodologies are problematic because they may rely excessively on subjective opinion and intuition. This study applied methodologies and software from the U.S. Road Assessment Program (usRAP) to develop quantitative, objective roadside safety ratings for rural two-lane roads in the state of Kentucky on which 20 or more crashes occurred from 2010 to 2015. Kentucky Transportation Center researchers generated usRAP star rating scores following standard protocols and, to validate the methodology, compared those scores to the number of ROR collisions over the specified interval. Analysis revealed robust correlations between star rating scores (and star ratings) and crash data, justifying their as an objective measure of roadside safety. Researchers also delivered a comprehensive database containing over 126,000 records to the Kentucky Transportation Cabinet, which can be used to examine roadside severity and potentially inform future highway investments

Assessment Program for Kentucky Traffic Records

During 2013, the Kentucky Transportation Center identified 117 potential performance metrics for the ten databases in the Kentucky Traffic Records System. This report summarizes the findings of three main tasks completed in 2014: (1) assessment of the utility of each metric and/or the availability of data; (2) collection of data on the metrics deemed useful with available data; and (3) assessment the possibility of incorporating a number of the Model Minimum Uniform Crash Criteria (MMUCC) elements into the CRASH database. Interviews with liaisons for each database reduced the number of metrics from 117 to 51. The reason for rejecting the metric as useless is provided in two tables. Data on the useful and data available metrics is reported in one or more tables for each database. The review of the CRASH database for compliance with MMUCC found that 470 of 682 elements are currently MMUCC compliant. A total of 137 elements could be added to the CRASH database, which would render it 89% MMUCC compliant. A list of tentative conclusions is provided

Improving Sustainable Mobility through Modal Rewarding: The GOOD_GO Smart Platform

Private car mobility registers today a h igh accident rate and around 70% of the overall CO2 emissions from transport were generated by road mode split (European Commission, 2016). Moreover, in urban areas they occur 38% of the overall fatalities from road transport, and 23% of the overall CO2 emissions (European Commission, 2013). As a result, a modal shift of at least a part of passenger transport in urban areas, from private car to sustainable transport systems is desirable. This research aims to promote sustainable mobility through two mutually reinforcing "main actions": firstly, there is a r ewarding Open-Source platform, named as GOOD_GO; secondly, there is the SW/HW system connecting to the wide world of private and/or shared bicycles. Through the GOOD_GO platform Web portal and App, a user enters a so called 'social rewarding game' thought to incentive sustainable mobility habits, and gets access to the second item consisting of a system to disincentive bike-theft and based on the passive RFID technology. The low-cost deterrent bike-theft and bike monitoring/tracking system is functional to bring a big number of citizens inside the rewarding game. In 2018, a pilot test has implemented in the city of Livorno (Tuscany, It), and it involved around 1,000 citizens. Results were quite encouraging and today, the cities of Livorno, Pisa and Bolzano will enlarge the incentive system both to home-to-school and home-to-work mobility. The Good_Go platform is an actual M-a-a-S (Mobility-as-a-Service) application, and it becoming a Mobility Management decision system support, jointly with the opportunity of organizing more incentive tenders and rewarding systems types

KYTC Sidewalk and Curb Ramp Inventory for ADA Compliance

The Americans with Disabilities Act of 1990 (ADA) requires that all public and private organizations providing services to the public ensure their facilities and infrastructure comply with regulations set forth therein. The ADA requires that a transition plan “identify physical obstacles in the public entity’s facilities that limit the accessibility of its programs or activities to individuals with disabilities.” In the first phase of Kentucky’s transition plan to become ADA compliant, KTC researchers inventoried sidewalks along all state-maintained roads in Kentucky to determine the presence or absence of pedestrian facilities. This sidewalk inventory was used to query Kentucky’s intersection database to achieve two goals: identify intersections along state-maintained roadways that have sidewalks, and determine the presence of curb ramps at intersections. Researchers performed quality control to ensure sidewalk and curb ramp inventories correctly characterized the pedestrian facilities that existed on the roadways. This process showed the error in the inventory to be approximately five percent, below the 10 percent error rate requested by KYTC. As a result of this project, KYTC now has access to a statewide inventory of state-maintained sidewalks and curb ramps that can serve as the basis for Kentucky’s ADA compliance transition plan

Estimation of Gap Acceptance Parameters for HCM 2010 Roundabout Capacity Model Applications

This paper deals with the field data observation and successive application of estimation procedures in order to estimate follow-up headway and critical headway at roundabouts. Average follow-up and average critical headway are two critical parameters in the new roundabout capacity model presented in the 2010 edition of the Highway Capacity Manual (HCM). The HCM 2010 capacity model was developed as an exponential regression model with parameter estimates based on gap acceptance theory. Gap acceptance models are strongly affected by driver behaviour and local habits. Follow-up headways can be field measured, while critical headway cannot be obtained directly. The paper mainly aims to check if general suggested values are well-suited also for Italy or not. There have been numerous techniques developed for estimating critical headway. In order to perform a better check of a sample of experimentally observed values, three different procedures are chosen and applied. The first is a quite popular mathematical method based on maximum likelihood technique. The second is a statistical method based on the median of the observed sample distribution. The third is a graphical method known as Raff’s method. All these three methods require information about the accepted headway and the largest rejected headway for each driver. Therefore a sample of field data was recorded by digital camera and processed following the instructions suggested by NCHRP. The sample data of critical headway and follow-up headway are gathered in seven selected roundabouts located in Northern Tuscany (Italy). Our first obtained results indicate that the average critical headway is significantly lower than the values recommended by some international references. However, the average follow-up headway is only higher than that recommended for the State of California and it is lower than that recommended by all other international references. Finally, conclusions drawn along with insights for further research developments are suggested

Evaluating Remotely Sensed Images for Use in Inventorying Roadway Infrastructure Features

The main objective of this research was to evaluate the use of remotely sensed images as a method to facilitate accurate and rapid collection of large quantities of inventory data. Images collected from either an airplane or satellite can be collected fairly rapidly for large areas without locating on-road or interfering with traffic. With the launching of the IKONOS satellite, resolutions of 1 meter can be practically obtained from space. Image resolution of as high as 1-inch are possible with aerial photography. Aircraft can be flown at higher altitudes for lower resolutions. Since cost typically decreases as resolution decreases, one of the goals of the research was to test images at different levels of resolution to make recommendations on the minimum necessary to collect specific inventory features. This is especially important since many agencies already have access to low resolution images such as the USGS orthophoto quarter quads. Besides the advantage of more rapid data collection, use of remote sensing may allow collection of data which was previously difficult to obtain from conventional methods

Improving the Quality of Traffic Records for Traffic Incident Management

Traffic incidents in US roadways cause 25 percent of all delays experienced by users. The resulting congestion may lead to secondary crashes, increasing economic costs and further risking the lives of travelers. Traffic Incident Management is a process that detects, responds to, and clears traffic incidents as quickly as possible so that traffic flow is restored safely. This project analyzes the three TIM performance measures: Roadway Clearance Time, Incident Clearance Time and Secondary Crashes of Kentucky to identify a baseline for performance which may indicate potential for improvement. The study pinpoints different data sources, tools and technologies that can be used to collect and analyze TIM performance measures. Kentucky State Police (KSP) Crash Database and TRIMARC Incident Records are the two principal data sources used. In addition, Waze and HERE speed data are also examined for potential use. Lastly, the three national performance measures are summarized and analyzed. They comprise a baseline for future performance assessment

Estimation of Average Daily Traffic on Local Roads in Kentucky

Kentucky Transportation Cabinet (KYTC) officials use annual average daily traffic (AADT) to estimate intersection performance across the state maintained highway system. KYTC currently collects AADTs for state maintained roads but frequently lacks this information on local roads. A method is needed to estimate local road AADTs in a cost-effective and reasonable manner. Kentucky Transportation Center (KTC) researchers conducted a literature review on U.S. AADT models but found that none of them were suitable to Kentucky. Therefore, KTC developed an AADT model using non-linear regression to estimate AADTs on approaches to those intersections. KTC developed a Poisson distributed, non-linear regression model to estimate AADT. This model divided the state into three regions encompassing all of the highway districts: West (Districts 1, 2, 3, and 4), North Central (Districts 5, 6, and 7), and East (Districts 8, 9, 10, 11, and 12). This partitioning accounted for geographic and socioeconomic variability across the state. Each regional model relied upon three independent variables: probe count, residential vehicle registration, and curve rating. HERE proprietary probe counts—indicative of vehicle movements—provide tracking visibility on a select portion of vehicles moving across Kentucky highways. Residential vehicle registrations can be used to estimate trip generation information. Finally, the curve rating partially indicates accessibility. Model results were adjusted to KYTC daily vehicle miles traveled (DVMT) county control totals for local roads. Sensitivity analysis was conducted to examine the impact of model errors for use in intersection safety analysis. Results indicate that the estimates generated can be effectively used for safety assessment and countermeasure prioritization