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State
MTA Subway Customer Journey-Focused Metrics: 2020-2024
State of New York —
Additional Platform Time (APT) is the estimated average extra time that customers spend waiting on the platform for a train, compared with their scheduled wait time.... -
State
MTA Subway Customer Journey-Focused Metrics: Beginning 2025
State of New York —
Additional Platform Time (APT) is the estimated average extra time that customers spend waiting on the platform for a train, compared with their scheduled wait time.... -
Federal
Analytical Procedures for Determining the Impacts of Reliability Mitigation Strategies [supporting datasets]
Department of Transportation —
The objective of this project was to develop technical relationships between reliability improvement strategies and reliability performance metrics. This project... -
Federal
AMS San Diego Testbed - Calibration Data
Department of Transportation —
The data in this repository were collected from the San Diego, California testbed, namely, I-15 from the interchange with SR-78 in the north to the interchange with... -
Federal
Effectiveness of Different Approaches to Disseminating Traveler Information on Travel Time Reliability [supporting datasets]
Department of Transportation —
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... -
Federal
Pilot Testing of SHRP 2 Reliability Data and Analytical Products: Washington [supporting datasets]
Department of Transportation —
The Washington site used the reliability guide from Project L02, analysis tools for forecasting reliability and estimating impacts from Project L07, Project L08, and... -
State
MTA Subway End-to-End Running Times: Beginning 2019
State of New York —
This dataset provides information on the actual end-to-end running times for subway trips between their origin and destination stations, including the average, and... -
Federal
Seattle Freeway Travel Times
Department of Transportation —
The purpose of the data set is to provide multi-modal data and contextual information (weather and incidents) that can be used to research and develop applications... -
Federal
Pilot Testing of SHRP 2 Reliability Data and Analytical Products: Southern California [supporting datasets]
Department of Transportation —
The objective of this project was to develop system designs for programs to monitor travel time reliability and to prepare a guidebook that practitioners and others... -
Walkshed High-Frequency Rail Peak
District of Columbia —
The walkshed here uses a ½ mile walk from high-frequency Metrorail station entrances, which represent the distance most people are willing to travel to reach a... -
Federal
Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Incidents
Department of Transportation —
Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case proposes a data integration pipeline that enhances the utilization of work... -
State
MTA Bus Route Segment Speeds: 2023 - 2024
State of New York —
This dataset provides data on how fast buses are traveling between pairs of subsequent timepoints (the major stops on a bus route) for every bus route in the system.... -
State
MTA Bus Route Segment Speeds: Beginning 2025
State of New York —
This dataset provides data on how fast buses are traveling between pairs of subsequent timepoints (the major stops on a bus route) for every bus route in the system.... -
Federal
AMS Pasadena Main Data
Department of Transportation —
The data in this data environment was collected from the Pasadena, California testbed, namely I-210, SR 134, and nearby arterials. The source of these data is from... -
City
Travel Sensors
City of Austin —
This dataset is no longer actively maintained, because the devices referenced in this dataset have been removed from operation. This dataset contains information... -
Federal
Validation of Urban Freeway Models [supporting datasets]
Department of Transportation —
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... -
Federal
Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Processed Integrated Traffic Work Zone Data
Department of Transportation —
Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case proposes a data integration pipeline that enhances the utilization of work... -
Federal
Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case Raw Maryland Average Annual Daily Traffic 2019
Department of Transportation —
Data for Artificial Intelligence: Data-Centric AI for Transportation: Work Zone Use Case proposes a data integration pipeline that enhances the utilization of work... -
Federal
Establishing Monitoring Programs for Travel Time Reliability [supporting datasets]
Department of Transportation —
The objective of this project was to develop system designs for programs to monitor travel time reliability and to prepare a guidebook that practitioners and others... -
Federal
Prototype Operational Data Environment (P-ODE)
Department of Transportation —
The data elements contained in this data environment were collected during the Prototype Operational Data Environment (P-ODE) formal data collection period. The...