M.A.2.a - Transit Travel Time Reliability: percent change in MetroBus on-time performance

Anonymous travel time data is provided by a third-party vendor, INRIX. This data measures speed and travel time along Austin streets. Travel times along street segments are measured over the course of each year and are analyzed along Austin’s arterial roadways.

View more details and insights related to this measure on the story page: https://data.austintexas.gov/stories/s/M-A-2-a-Transit-Travel-Time-Reliability-percent-ch/ktzy-fxx3/

This dataset supports measure M.A.2.b of SD 2023. The source of the data is the anonymized travel time data provided by the third party vendor INRIX. Each row represents the Buffer Time Index percentage for all critical arterial corridors on weekdays for each year. View more details and insights related to this measure on the story page : https://data.austintexas.gov/stories/s/M-A-2-b_Vehicle-Travel-Time-Reliability-how-consis/m5qg-vzb9/

Landing page for Percent change in average vehicle travel time along major City corridors (M.A.5.b)

Anonymous travel time data is provided by a third-party vendor, INRIX. This data measures speed and travel time along Austin streets. Travel time along street segments are measured over the course of each year and averaged along each corridor. The total travel time for all corridors is then compared to the previous year to measure the percent change in travel time for the city.

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

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