The 1995 American Travel Survey (ATS) was conducted by the Bureau of Transportation Statistics (BTS) to obtain information about the long-distance travel of persons living in the United States. The survey collected quarterly information related to the characteristics of persons, households, and trips of 100 miles or more for approximately 80,000 American households. The ATS data provide detailed information on state-to-state travel as well as travel to and from metropolitan areas by mode of transportation. Data are also available for subgroups defined in terms of characteristics related to travel, such as trip purpose, age, family type, income, and a variety of related characteristics. The data can be analyzed at the regional, state, metropolitan area, and county level. NOTE: In 2001, the National Household Travel Survey was carried out. This new survey is a combined Nationwide Personal Transportation Survey (NPTS) and ATS. Visit the National Household Travel Survey web site << https://nhts.ornl.gov/ >> for more details.

The National Transportation Library (NTL) provides national and international access to transportation information, coordinates information creation and dissemination, and provides reference services for Department of Transportation (DOT) employees and public stakeholders. Established in 1998 by the Transportation Equity Act for the 21st Century (TEA-21; P.L. 105-178), NTL’s authorized role was expanded in 2012’s Moving Ahead for Progress in the 21st Century (MAP-21; P.L. 112- 141). NTL’s primary product and service is the Repository and Open Science Access Portal (ROSA P) (https://rosap.ntl.bts.gov).

NTL’s collections in ROSA P are full-text digital publications, datasets, and other resources. Legacy print materials that have been digitized are collected if they have historic, technical, or national significance. The repository is also designated as the full-text repository for USDOT-funded research under the USDOT Public Access Plan. Collections in ROSA P are available without restriction to transportation researchers, statistical organizations, the media, and the general public.

The Highway Capacity Manual (HCM) historically has been among the most important reference guides used by transportation professionals seeking a systematic basis for evaluating the capacity, level of service, and performance measures for elements of the surface transportation system, particularly highways but also other modes. The objective of this project was to determine how data and information on the impacts of differing causes of nonrecurrent congestion (incidents, weather, work zones, special events, etc.) in the context of highway capacity can be incorporated into the performance measure estimation procedures contained in the HCM. The methodologies contained in the HCM for predicting delay, speed, queuing, and other performance measures for alternative highway designs are not currently sensitive to traffic management techniques and other operation/design measures for reducing nonrecurrent congestion. A further objective was to develop methodologies to predict travel time reliability on selected types of facilities and within corridors. This project developed new analytical procedures and prepared chapters about freeway facilities and urban streets for potential incorporation of travel-time reliability into the HCM. The methods are embodied in two computational engines, and a final report documents the research. This zip file contains comma separated value (.csv) files of data to support SHRP 2 report S2-L08-RW-1, Incorporating travel time reliability into the Highway Capacity Manual. Zip size is 1.83 MB. Files were accessed in Microsoft Excel 2016. Data will be preserved as is. To view publication see: https://rosap.ntl.bts.gov/view/dot/3606

Overview
The IPCD is a nationwide database of passenger transportation terminals, with data on the availability of connections among the various scheduled public transportation modes at each facility. The IPCD data covers the following types of passenger transportation terminals/stops: 1. Scheduled airline service airports. 2. Intercity bus stations (includes stations served by regular scheduled intercity bus service such as Greyhound, Trailways, code sharing buses such as Amtrak Thruway feeder buses, supplemental buses that provide additional frequencies along rail routes, and airport bus services from locations that are outside of the airport metropolitan area). 3. Intercity and transit ferry terminals. 4. Light-rail transit stations. 5. Heavy-rail transit stations. 6. Passenger-rail stations on the national rail network served by intercity rail and/or commuter rail services. 7. Bike-share stations belonging to bike-share systems that are open to the general public, IT-automated, and station based (contain hubs to which users can grab and return a bike). The data elements describe the location of the above types of terminals as well as the availability of intercity, commuter, and transit rail; scheduled air service; intercity and transit bus; intercity and transit ferry services; and bike-share availability. Transit bus service locations are not specifically included in the database. However, the status of transit bus as a connecting mode is included for each bike-share facility in the database.

The goal of the SHRP 2 Project L33 Validation of Urban Freeway Models was to assess and enhance the predictive travel time reliability models developed in the SHRP 2 Project L03, Analytic Procedures for Determining the Impacts of Reliability Mitigation Strategies. SHRP 2 Project L03, which concluded in 2010, developed two categories of reliability models to be used for the estimation or prediction of travel time reliability within planning, programming, and systems management contexts: data-rich and data-poor models. The objectives of Project L33 were the following: • The first was to validate the most important models – the “Data Poor” and “Data Rich” models with new datasets. • The second objective was to assess the validation outcomes to recommend potential enhancements. • The third was to explore enhancements and develop a final set of predictive equations. • The fourth was to validate the enhanced models. • The last was to develop a clear set of application guidelines for practitioner use of the project outputs. The datasets in these 5 zip files are in support of SHRP 2 Report S2-L33-RW-1, Validation of Urban Freeway Models, https://rosap.ntl.bts.gov/view/dot/3604 The 5 zip files contain a total of 60 comma separated value (.csv) files. The compressed zip files total 3.8 GB in size. The files have been uploaded as-is; no further documentation was supplied. These files can be unzipped using any zip compression/decompression software. The files can be read in any simple text editor. [software requirements] Note: Data files larger than 1GB each. Direct data download links: L03-01: https://doi.org/10.21949/1500858 L03-02: https://doi.org/10.21949/1500868 L03-03: https://doi.org/10.21949/1500869 L03-04: https://doi.org/10.21949/1500870 L03-05: https://doi.org/10.21949/1500871

This project focused specifically on design treatments that can be used to improve travel time reliability. The objectives of this research were to (1) identify the full range of possible roadway design features used by transportation agencies to improve travel time reliability and reduce delays from key causes of nonrecurrent congestion, (2) assess their costs and operational and safety effectiveness, and (3) provide recommendations for their use and eventual incorporation into appropriate design guides. This research generated two companion products that allow transportation agencies and professionals to apply these research findings effectively in daily practice. These products are the Design Guide for Addressing Nonrecurrent Congestion, which is a catalogue of the design elements and their associated use information, and the Analysis Tool for Design Treatments to Address Nonrecurring Congestion, which is a tool to execute the various analysis procedures and models to measure the effectiveness of a design element on travel time reliability. This zip file contains comma separated value (.csv) files of data to support SHRP 2 Report S2-L07-RR-1, Identification and Evaluation of the Cost-Effectiveness of Highway Design Features to Reduce Nonrecurrent Congestion, https://rosap.ntl.bts.gov/view/dot/4040 The compressed zip file is 12 MB. These files can be unzipped using any zip compression/decompression software. The .csv files can be read with any basic text editor.

"SHRP 2 initiated the L38 project to pilot test products from five of the program’s completed projects. The products support reliability estimation and use based on data analyses, analytical techniques, and decision-making framework. The L38 project has two main objectives: (1) to assist agencies in using travel time reliability as a measure in their business practices and (2) to receive feedback from the project research teams on the applicability and usefulness of the products tested, along with their suggested possible refinements. SHRP 2 selected four teams from California, Minnesota, Florida, and Washington. Project L38C tested elements from Projects L02, L05, L07, and L08. Project L02 identified methods to collect, archive, and integrate required data for reliability estimation and methods for analyzing and visualizing the causes of unreliability based on the collected data. Projects L07 and L08 produced analytical techniques and tools for estimating reliability based on developed models and allowing the estimation of reliability and the impacts on reliability of alternative mitigating strategies. Project L05 provided guidance regarding how to use reliability assessments to support the business processes of transportation agencies. The datasets in this zip file, which is 7.83 MB in size, support of SHRP 2 reliability project L38C, "Pilot testing of SHRP 2 reliability data and analytical products: Florida." The accompanying report can be accessed at the following URL: https://rosap.ntl.bts.gov/view/dot/3609 There are 12 datasets in this zip file, including 2 Microsoft Excel worksheets (XLSX) and 10 Comma Separated Values (CSV) files. The Microsoft Excel worksheets can be opened using the 2010 and 2016 versions of Microsoft Word, the CSV files can be opened using most text editors.

As our highway infrastructure continues to age, there is the imperative need to renew the entire network while keeping it operational. Moreover, many highway corridors and regional networks are becoming ever more congested. As a result there is an increasing need to (1) examine various construction alternatives within those corridors and networks to determine the potential disruption and/or benefit that alternative renewal activities may have over time, and (2) examine the effect of constructing multiple corridors concurrently or in sequence. Without an evaluation of the various construction alternatives during the program and project development process, negative impacts on the traveling public and the local communities may increase dramatically. The research on Project R11 focused on answering the following related questions: • How should highway reconstruction projects be set in space and time to minimize disruption to the traveling public, businesses, and adjacent communities? • What is the traffic impact on the regional network when multiple corridors are being considered for renewal? • Are there strategies that may minimize impacts on the corridor and/or regional network? This zip file contains comma separated value (.csv) files of data to support SHRP 2 report S2-R11-RW-1, Strategic approaches at the corridor and network level to minimize disruption from the renewal process. Zip size is 0.46 MB. Files were accessed in Microsoft Excel 2016. Data will be preserved as is. To view the publication see: https://rosap.ntl.bts.gov/view/dot/3612

Travel time reliability information includes static data about traffic speeds or trip times that capture historic variations from day to day, and it can help individuals understand the level of variation in traffic. Unlike real-time travel time information, which provides a current snapshot of trip conditions and travel time, reliability information can be used to plan and budget in advance for a trip. Travel time reliability information can improve urban mobility by conveying reliability-related information to system users so that they can make informed decisions about their travel. Data files in this zipped package include macro-enabled Microsoft Excel spreadsheets. These spreadsheets operate as interactive games. To save them into open formats would destroy this functionality. Therefore the macro-enabled spreadsheets are left as-is. There were opened prior to ingest in this repository using Microsoft Excel 2010. This dataset supports SHRP 2 report S2-L14-RW-1, Effectiveness of different approaches to disseminating traveler information on travel time reliability. Zip contains 628 MB. Files were accessed with Microsoft Excel 2016. Data will be preserved as it is. For the publication see: https://rosap.ntl.bts.gov/view/dot/3607

The objective of this project was to develop technical relationships between reliability improvement strategies and reliability performance metrics. This project defined reliability, explained the importance of travel time distributions for measuring reliability, and recommended specific reliability performance measures. The research reexamined the contribution of the various causes of nonrecurring congestion on urban freeway sections, however, some attention was also given to rural highways and urban arterials). Numerous actions that can potentially reduce nonrecurring congestion were identified with an indication of their relative importance. Models for predicting nonrecurring congestion were developed using three methods, all based on empirical procedures: The first involved before and after studies; the second was termed a 'data poor' approach and resulted in a parsimonious and easy-to-apply set of models; the third was entitled a 'data rich model' and used cross-section inputs including data on selected factors known to directly affect nonrecurring congestion. An important conclusion of the study is that actions to improve operations, reduce demand, and increase capacity all can improve travel time reliability. The 3 attached zip files contains comma separated value (.csv) files of data to support SHRP 2 report S2-L03-RR-1, Analytical procedures for determining the impacts of reliability mitigation strategies.Zip size is 1.83 MB. Files were accessed in Microsoft Excel 2016. Data will be preserved as is. To view publication see: https://rosap.ntl.bts.gov/view/dot/3605