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

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.