Document Library

The objective of this research is to develop a guide for selecting level-of-service targets for maintaining and operating highway assets.

Moving Ahead for Progress in the 21st Century (MAP-21) establishes national objectives to increase productivity and economic efficiency of the nation's freight infrastructure. The recent passage of MAP-21 has placed an emphasis on integrating asset and performance management tools to help transportation agencies better manage the critical transportation infrastructure. Infrastructure performance management expands the more traditional definition of Asset Management to include measurement and reporting of how those assets achieve their targeted operational objectives. While congestion and bottlenecks in urbanized areas readily, and deservedly, catch the attention of policy makers, many miles of multimodal transportation occur prior to freight trips arriving in (or accrue after leaving) urban areas. These miles and the ability to efficiently navigate them directly impact the productivity of the region's diverse transportation system. This project identifies and seeks to remedy performance measure gaps and freight mobility issues as they relate to identifying the appropriate infrastructure capacity to meet demand for both domestic and international economic competitiveness.

This project provides research support essential to successful implementation of State Strategic Highway Safety Plans and, ultimately, achieving national goals for reductions in fatalities and serious injuries.

This handbook offers numerous ideas on how to communicate reliability information in graphical and tabular form. The display options fall into categories of maps, tables, and figures and graphs.

"Travel time reliability can be defined as consistency of travel time over time. The primary goal of SHRP 2 Reliability research is to improve the reliability of highway travel times by mitigating the effects of events that cause travel times to fluctuate unpredictably. Through this research, seven sources of unreliable travel times have been identified: traffic incidents, work zones, demand fluctuations, special events, traffic control devices, weather, and inadequate base capacity.
This guide documents the research of the L02 Project, Establishing Monitoring Programs for Travel Time Reliability. It also provides further discussion of how to develop and use a travel time reliability monitoring system (TTRMS). The Guide will be useful for system operators in determining what actions they need to take to reduce the variability of travel time and enhance reliability."

Within the second Strategic Highway Research Program (SHRP 2), Project L02 focused on creat- ing a suite of methods by which transportation agencies could monitor and evaluate travel time reliability. Creation of the methods also produced an improved understanding of why and how travel times vary and the factors that create that variation.
This final report provides a brief narrative about what reliability is and how it can be measured and analyzed. A general finding is that reliability is best described by creating holistic pictures like probability density functions (PDFs) and their associated cumulative density functions (CDFs). PDFs are helpful for identifying multimodality or the existence of multiple operating conditions within the data being examined (Barkley et al. 2012; Guo et al. 2010; Fraley and Raftery 2009). CDFs are helpful for seeing if progress is being made in making a system more reliable or for comparing the reliability of one system against another.

The objective of this research are to build a set of performance measures that are unified, user-oriented, scalable, systematic, effective and calculable for intermodal freight management and to develop methodologies to calculate and use the measures.

This research aims to explore performance measures quantified based on different transportation data sources. It examined the major performance measures that can help describe both traffic operations and safety conditions. The available data sources that can be used to derive the performance measures were investigated. Particularly, performance measures related to travel time reliability, incident duration, and secondary crashes have been emphasized. Data-driven methodologies for performance quantification have been proposed for each category. Specifically, improved travel time estimation approaches based on probe vehicle data have been developed for traffic delays and travel time reliability analysis. Second, structure learning algorithms based on Bayesian Networks approach were proposed to mine incident records and predict incident durations that can be used for traffic incident management. Finally, both infrastructure sensor and virtual-sensor-based approaches have been developed to explore traffic sensor data as well as on-line traffic information for identifying secondary crashes. The results shown through the use of actual case studies illustrated that how key performance measures can be used to assess the performance of their systems. This research suggests that by mining existing traffic data sources, more performance measures can be more efficiently and accurately quantified without major expenditures in the deployment of new data collection technologies.

The objectives of this research are to (1) develop guidance for how DOTs and other transportation agencies can enhance their asset-management capabilities through effective adoption of GIS technologies and (2) encourage more extensive adoption of GIS technologies by conducting pilot demonstrations and workshops on implementation of GIS-based asset management. The guidance should have two parts: (a) a presentation for senior DOT leadership providing the business case for investment in GIS technologies and (b) a presentation for practitioners of information on lessons learned from current practice, approaches to evaluating benefits of adoption of GIS technologies, and strategies for how an agency can effectively apply GIS technologies in transportation asset management.

The objective of this research is to develop asset management guidance for selected categories of traffic and safety assets that are owned and maintained by an agency. The selected categories are signs, traffic signals (including beacons, flashers, and ramp meters), markings, barrier systems (including guardrails, end treatments, and impact attenuators), and lighting.

Asset Management is a critical component of any successful business. The BS ISO 55000 series can help businesses to establish an asset management system to optimally manage assets; Implement, maintain and improve an asset management system; Comply with asset management policy and strategy; Demonstrate they’re applying best practise to others; and seek certification of their asset management system by an external organization or make a self-declaration of compliance.

A webpage which provides information on asset management at Utah DOT, including information on the agency's assets, structure, and programming.