This data set was acquired by the USDOT Data Capture and Management program. 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. Contains one full year (January – December 2010) of raw 30-second data for over 3,000 traffic detectors deployed along 1,250 lane miles of monitored roadway in San Diego. Cleaned and geographically referenced data for over 1,500 incidents and lane closures for the two sections of I-5 that experienced the greatest number of incidents during 2010. Complete trip (origin-to-destination) GPS “breadcrumbs” collected by ALK Techonologies, containing latitude/longitude, vehicle heading and speed data, and time for individual in-vehicles devices updated at 3-second intervals for over 10,000 trips taken during 2010. A digital map shape file containing ALK’s street-level network data for the San Diego Metropolitan area. And San Diego Weather data for 2010. This legacy dataset was created before data.transportation.gov and is only currently available via the attached file(s). Please contact the dataset owner if there is a need for users to work with this data using the data.transportation.gov analysis features (online viewing, API, graphing, etc.) and the USDOT will consider modifying the dataset to fully integrate in data.transportation.gov.

The purpose of the data environment is to provide multi-modal data and contextual information (weather and incidents) that can be used to research and develop Intelligent Transportation System applications. This data set contains the following data for the two months of September and October 2011 in Pasadena, California: Highway network data, Demand data, Sample mobile sightings provided for a two-hour period, provided by AirSage (see note 1 below), Network performance data (measured and forecast), Work zone data, Weather data, and Changeable message sign data. This legacy dataset was created before data.transportation.gov and is only currently available via the attached file(s). Please contact the dataset owner if there is a need for users to work with this data using the data.transportation.gov analysis features (online viewing, API, graphing, etc.) and the USDOT will consider modifying the dataset to fully integrate in data.transportation.gov.

Click “Export” on the right to download the vehicle trajectory data. The associated metadata and additional data can be downloaded below under "Attachments". Researchers for the Next Generation Simulation (NGSIM) program collected detailed vehicle trajectory data on southbound US 101 and Lankershim Boulevard in Los Angeles, CA, eastbound I-80 in Emeryville, CA and Peachtree Street in Atlanta, Georgia. Data was collected through a network of synchronized digital video cameras. NGVIDEO, a customized software application developed for the NGSIM program, transcribed the vehicle trajectory data from the video. This vehicle trajectory data provided the precise location of each vehicle within the study area every one-tenth of a second, resulting in detailed lane positions and locations relative to other vehicles. Click the "Show More" button below to find additional contextual data and metadata for this dataset. For site-specific NGSIM video file datasets, please see the following: - NGSIM I-80 Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-I-80-Vide/2577-gpny - NGSIM US-101 Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-US-101-Vi/4qzi-thur - NGSIM Lankershim Boulevard Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-Lankershi/uv3e-y54k - NGSIM Peachtree Street Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-Peachtree/mupt-aksf

The ATDM Trajectory Validation project developed a validation framework and a trajectory computational engine to compare and validate simulated and observed vehicle trajectories and dynamics. The field data were used to demonstrate how on-site instrumented vehicle data can be used to validate simulated vehicle dynamics using the validation framework. The vehicle trajectory data were collected in a separate task of the Active Transportation Demand Management (ATDM) Trajectory Level Validation project. The primary project objective was to develop a methodology to validate simulated vehicle dynamics at the trajectory level. Microscopic and macroscopic performance measures were calculated from the trajectory data and used in a number of validation tests related to safety, vehicle limits, driver comfort levels, and traffic flow

ITS DataHub has partnered with the Federal Highway Administration's (FHWA's) Next Generation SIMulation (NGSIM) program to make available detailed vehicle trajectory data and supporting data files along with the raw and processed video files from the NGSIM data collection efforts. Researchers for the NGSIM program collected the specified data on southbound US 101 and Lankershim Boulevard in Los Angeles, CA, eastbound I-80 in Emeryville, CA and Peachtree Street in Atlanta, GA. This article provides a brief overview of the NGSIM program data collection as well as what types of data are available on ITS DataHub. Some examples of possible uses for the data and information on how to cite the various NGSIM datasets are also included.

Statistics on speeding rates and exceedance of speed limit along selected street segments throughout San Francisco. The dataset was prepared as part of the SF Indicators project and covers from 2004 through 2009. http://www.sfindicatorproject.org/indicators/view/49

This set of data files was acquired under USDOT FHWA cooperative agreement DTFH61-11-H-00025 as one of the four test data sets acquired by the USDOT Data Capture and Management program.The freeway data consists of two months of data (Sept 15 2011 through Nov 15 2011) from dual-loop detectors deployed in the main line and on-ramps of a Portland-area freeway. The section of I-205 NB covered by this test data set is 10.09 miles long and the section of I-205 SB covered by this test data set is 12.01 miles long The data includes: flow, occupancy, and speed.

This data were collected during the Safety Pilot Model Deployment (SPMD). The data sets that these entities will provide include basic safety messages (BSM), vehicle trajectories, and various driver-vehicle interaction data, as well as contextual data that describes the circumstances under which the Model Deployment data was collected. Large portion of the data contained in this environment is obtained from on board vehicle devices and roadside units. This legacy dataset was created before data.transportation.gov and is only currently available via the attached file(s). Please contact the dataset owner if there is a need for users to work with this data using the data.transportation.gov analysis features (online viewing, API, graphing, etc.) and the USDOT will consider modifying the dataset to fully integrate in data.transportation.gov.

This dataset was provided to the San Francisco Planning Department from the San Francisco County Transportation Authority (Transportation Authority) in March 2016. The Transportation Authority uses the San Francisco Chained Activity Model Process (SF-CHAMP) to estimate vehicle miles traveled (VMT) by private automobiles and taxis for different land use types. Travel behavior in SF-CHAMP is calibrated based on observed behavior from the California Household Travel Survey 2010-2012, Census data regarding automobile ownership rates and county-to-county worker flows, and observed vehicle counts and transit boardings. SF-CHAMP uses a synthetic population, which is a set of individual actors that represents the Bay Area’s actual population, who make simulated travel decisions for a complete day. VMT estimates are provided for existing (2012) and future (2040) for three land use types: office, residential, and retail. For these estimates, Transportation Authority used tour-based analysis for office and residential uses and a trip-based analysis for retail uses. The aforementioned VMT estimates are provided for each transportation analysis zone within San Francisco and compared to regional averages. Refer to March 3, 2016 San Francisco Planning Commission Transportation Sustainability Program staff report for further details. The data is in a zipped file geodatabase (GIS) format. Geographic boundaries are Traffic Analysis Zones (TAZ's).

This set of data files is one of the four test data sets acquired by the USDOT Data Capture and Management program. It contains the following data for the six months from May 1 2011 to October 31 2011: -Raw and cleaned data for traffic detectors deployed by Washington Department of Transportation (WSDOT) along I-5 in Seattle. Data includes 20-second raw reports. -Incident response records from the WSDOT's Washington Incident Tracking System (WITS). -A record of all messages and travel times posted on WSDOT's Active Traffic -Management signs and conventional variable message signs on I-5. -Loop detector volume and occupancy data from arterials parallel to I-5, estimated travel times on arterials derived from Automatic License Plate Reader (ALPR) data, and arterial signal timing plans. -Scheduled and actual bus arrival times from King County Metro buses and Sound Transit buses. -Incidents on I-5 during the six month period -Seattle weather data for the six month period -A dataset of GPS breadcrumb data from commercial trucks described in the documentation is not available to the public because of data ownership and privacy issues. This legacy dataset was created before data.transportation.gov and is only currently available via the attached file(s). Please contact the dataset owner if there is a need for users to work with this data using the data.transportation.gov analysis features (online viewing, API, graphing, etc.) and the USDOT will consider modifying the dataset to fully integrate in data.transportation.gov. Note: All extras are attached in Seattle Freeway Travel Times https://data.transportation.gov/Automobiles/Seattle-Freeway-Travel-Times/9v5g-t8u8