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Traffic data, public transit, aviation, shipping, ride-hailing, accident records
8,990 datasets
Parking meter inventory for the City of Oakland, last updated in March 2020. The dataset includes over 30 columns such as Meter_Type, Zone, Longitude, Latitude, and maintenance details. It is published by data.oaklandca.gov and was last refreshed on the platform on 2024-06-13.
2023 estimates of passenger travel patterns across the New York City subway system, aggregated by month, day of week, and hour of day. The dataset provides estimated volumes for all populated origin-destination station pairs, derived from OMNY and MetroCard data. It includes station names, IDs, and approximate geographic coordinates for both origin and destination complexes.
ATKIS-DLM50 RP provides a detailed digital landscape model of Germany's road network. The dataset is served as a Web Map Service (WMS) by the Bundesamt für Kartographie und Geodäsie (Federal Agency for Cartography and Geodesy). It was last updated on July 1, 2024.
WMS XPlanung BPL 'Brunnenfeld _05' is a Web Map Service for a specific development plan in the German municipality of Umkirch. The service, provided by the Bundesamt für Kartographie und Geodäsie, was last updated on June 26, 2024. Its description indicates a focus on traffic-related planning elements.
Umkirch municipality's development plan 'Brunnenfeld_01' focuses on traffic infrastructure. The dataset is provided as a Web Map Service (WMS) layer by the German Federal Agency for Cartography and Geodesy (BKG) and was last updated on June 26, 2024.
Chicago Transit Authority rail lines are represented as geographic line features by the City of Chicago. The dataset is available in multiple formats, including CSV and JSON, and was last updated in July 2024. Specific row and column counts are not provided.
2023 trip records submitted by green taxi Technology Service Providers for New York City. Each row represents a single trip, capturing pick-up and drop-off details, trip distances, itemized fares, and passenger counts.
The Federal Aviation Administration provides digital-Visual Chart series as georeferenced raster images. These charts are designed for users requiring georeferenced TIF files of FAA Visual Flight Rules (VFR) charts, with each file containing all information from the original paper chart. The main body of each chart is accurately georeferenced to the earth's surface at 300 dots per inch in 8-bit color.
The FMCSA Safety and Fitness Electronic Records (SAFER) System provides company safety data and related services for the motor carrier industry. It includes records for entities like large truck and bus carriers, with features for registering USDOT numbers, paying fines, and accessing hazardous material route registries. The system is maintained by the U.S. Department of Transportation and was last updated in June 2024.
Parking permit sales data is published by the City of Norfolk for garages and lots it operates. The dataset tracks the number of permits sold by type, duration, and facility. It is updated monthly, with the latest data valid as of May 2024.
Curated by yupidevs and updated in July 2024, this repository provides a centralized collection of various trajectory and movement datasets. It functions as a meta-resource for researchers looking for mobility data across different domains, including geospatial and time-series formats.
United States crash statistics for large trucks and buses involved in fatal and non-fatal incidents, derived from the Fatality Analysis Reporting System (FARS) and the Motor Carrier Management Information System (MCMIS). The dataset is maintained by the Department of Transportation and was last updated in June 2024. It supports the identification of safety problems in specific geographical areas and state-to-national comparisons.
Weekly estimates of vehicle miles traveled (VMT) on U.S. interstate highways. The data compares total travel measured by VMT with travel from the same week of the previous year. It is hosted by datahub.transportation.gov and was last updated on 2024-05-08.
U.S. Department of Transportation provides searchable PDF supplements for public and joint-use airports, seaplane bases, and heliports. The data includes airport sketches, NAVAIDs, communications, weather, airspace, and operational procedures. The collection was last updated in June 2024.
Company Snapshot records provide identification, size, commodity, and safety data for motor carriers and bus companies. The dataset includes safety ratings, roadside out-of-service inspection summaries, and crash information. It is maintained by the Department of Transportation and was last updated in June 2024.
January 2022 to present records of parking citations issued in Norfolk, Virginia. The dataset includes citation details such as issue time, location, vehicle information, violation description, and fine amount. It is published by data.norfolk.gov and updated monthly.
Maryland Transit Administration data assesses rail station potential for transit-oriented development across MARC Commuter Rail, Metro Subway, and Central Light Rail lines. The dataset includes station-specific metrics across six categories like ridership, station facilities, parking, and local zoning. It was published by the Maryland MTA and last updated in March 2024.
Parking lot occupancy data for Los Angeles International Airport (LAX) is provided, covering lots 1, 2A, 2B, 3, 4, 5, 6, 7, and C. The dataset includes counts of FreeSpaces, Occupied spaces, and TotalParkingSpaces for each lot, along with geospatial coordinates. Data is published by data.lacity.org and is updated every five minutes, with a last recorded update on May 2, 2024.
Calgary's 2022 traffic flow map provides average daily weekday vehicle volumes for provincial and city road sections. The data includes two-way traffic totals adjusted for seasonal variation, representing a weighted average annual daily traffic (WAADT). The City of Calgary published this information for general reference on prevailing conditions during that year.
The National Automotive Sampling System Crashworthiness Data System (NASS-CDS) is a nationwide crash data collection program sponsored by the U.S. Department of Transportation. It collects detailed information on a sample of police-reported light motor vehicle traffic crashes from 24 geographic Primary Sampling Units (PSUs). The data are weighted to represent all such crashes in the USA involving passenger cars, light trucks, and vans that were towed due to damage.