Context

I wanted to find a better way to provide live traffic updates. We dont all have access to the data from traffic monitoring sensors or whatever gets uploaded from people's smart phones to Apple, Google etc plus I question how accurate the traffic congestion is on Google Maps or other apps. So I figured that since buses are also in the same traffic and many buses stream their GPS location and other data live, that would be an ideal source for traffic data. I investigated the data streams available from many bus companies around the world and found MTA in NYC to be very reliable.

Content

This dataset is from the NYC MTA buses data stream service. In roughly 10 minute increments the bus location, route, bus stop and more is included in each row. The scheduled arrival time from the bus schedule is also included, to give an indication of where the bus should be (how much behind schedule, or on time, or even ahead of schedule).

Acknowledgements

Data is recorded from the MTA SIRI Real Time data feed and the MTA GTFS Schedule data.

Inspiration

I want to see what exploratory & discovery people come up with from this data. Feel free to download this dataset for your own use however I would appreciate as many Kernals included on Kaggle as we can get.

Based on the interest this generates I plan to collect more data for subsequent months down the track.

In 2022, the number of passengers transported on the Metropolitan Transportation Authority (MTA) network amounted to approximately *** billion. This was still well below its passenger numbers before the COVID-19 pandemic, which exceeded *** billion passengers. Passenger numbers had already seen a slow decline in the years leading up to the pandemic. Largest urban rail system in the U.S. The MTA is the corporation responsible for public transit in the New York City metropolitan area, and it operates the largest heavy rail system in the U.S., together with local and express buses, and a bus rapid transit system. In 2022, the New York subway transported more than **-times as many passengers as the second-largest network in the U.S. in Chicago, Illinois. High fares for commuter rail Commuter rail accounted for some of the highest median cost of monthly transport passes in the U.S. in 2022. The median rail commuter paid ****** U.S. dollars for their monthly pass. Commuter bus passes also ranged among the most expensive passes at a median cost of ** U.S. dollars.

OPT provides transportation service to many different kinds of locations. Many of these locations are schools but they also include offices or other sites that may be part of certain students’ educational plans. The schools may be public, private or religious. OPT provides busing to some Pre-K sites for students who have an IEP for curb-to-curb busing because of medical condition. Transportation service is not limited to school bus service; it includes distribution of MetroCards and approved reimbursement services. Bus service can be conducted on a yellow school bus, an ambulance, or even a coach bus. Yellow school buses are available in a number of sizes and seating configurations. This dataset includes schools, offices or Pre-K/EI sites that currently receive any transportation services from OPT. These sites may be within the New York City limits or up to fifty miles from the city limits in the states of New York, New Jersey or Connecticut. This dataset does not include field trip destinations.

In 2022, the number of passengers who entered the New York City Subway system amounted to almost *** billion, a year-over-year increase of around ** percent. During the same year, the busiest station of the subway network, serving **** million passengers, was Time Square-42nd Street, located under Times Square and the Port Authority Bus Terminal in Midtown Manhattan. The Metropolitan Transportation Authority (MTA) The Metropolitan Transportation Authority (MTA) is the corporation responsible for public transit in the New York City metropolitan area and is the largest transit authority in the United States. The MTA operates a commuter rail service combined with local and express bus lines, a bus rapid transit system, and the NYC Subway. Prior to the pandemic, the MTA transported approximately *** billion passengers, of which around ** percent traveled on the underground network. In 2020, MTA ridership suffered a considerable decrease of almost ** percent compared to the previous year, falling to *** million paid passengers amid the COVID-19 pandemic. Passenger numbers rose to *** billion in 2022, but ridership remained low compared to pre-pandemic figures. U.S. public transportation From coast to coast, the public transit networks in the United States move billions of passengers every year. In 2020 alone, the number of people transported by public transportation amounted to *** billion. A year later, transit ridership dropped sharply to *** billion passengers, a year-on-year decrease of **** percent directly corresponding with the movement and travel restrictions imposed by the federal and state governments. By 2023, the number of passenger trips had recovered to **** billion, which was still ** percent below levels in 2019.

Vehicle classification counts collected by DOT for New York Metropolitan Transportation Council (NYMTC) to validate the New York Best Practice Model (NYBPM). For NYBPM screenline locations where data has been collected within the last three years are not considered for data collection for the present year. DOT collects data on at least 10% of the total NYBPM screenline locations.

Annual Average Daily Traffic (AADT) is an estimate of the average daily traffic along a defined segment of roadway. This value is calculated from short term counts taken along the same section which are then factored to produce the estimate of AADT. Because of this process, the most recent AADT for any given roadway will always be for the previous year. Data is available for all New York State Routes and roads that are part of the Federal Aid System.

The dataset lists all projects in New York State for which Federal funding is proposed to be used that are scheduled to begin within a designated time frame of four federal fiscal years and will be updated every two years. It includes region and location information, responsible agency, project description, funding and costs (in millions) information, and project phase/status.

In 2022, around **** percent of the total ridership of the Metropolitan Transportation Authority (MTA) network was transported by the New York City Subway. During 2022, the NYC underground network reported over one billion paid rides, a considerable year-over-year increase of around ** percent. The MTA is the corporation responsible for public transit in the New York City metropolitan area. It operates the largest subway system in the U.S., together with commuter rail lines, local and express buses, and a bus rapid transit system.

Includes New York City MTA Subway, San Francisco BART Rail, Washington Metropolitan Area Transit Authority Bus and Rail

Graph and download economic data for All Employees: Transportation and Utilities: Transit and Ground Passenger Transportation in New York City, NY (SMU36935614348500001SA) from Jan 1990 to Aug 2025 about passenger, New York, transportation, NY, employment, and USA.

Graph and download economic data for Consumer Price Index for All Urban Consumers: Transportation in New York-Newark-Jersey City, NY-NJ-PA (CBSA) (CUUSA101SAT) from H1 1984 to H1 2025 about CT, NJ, New York, PA, transportation, NY, urban, consumer, CPI, inflation, price index, indexes, price, and USA.

The annual operating revenue of the public transportation operator in New York (MTA) amounted to almost ************* U.S. dollars in 2022. This represented an increase compared to the previous year but remained nearly ** percent below pre-pandemic revenues in 2019.

New York City Department of Transportation (NYC DOT) uses Automated Traffic Recorders (ATR) to collect traffic sample volume counts at bridge crossings and roadways. These counts do not cover the entire year, and the number of days counted per location may vary from year to year. Also see Automated Traffic Volume Counts: https://data.cityofnewyork.us/Transportation/Automated-Traffic-Volume-Counts/7ym2-wayt

Contains real-time traffic information from locations where NYCDOT picks up sensor feeds within the five NYC boroughs between 2018 and 2022, mostly on major arterials and highways.

Source | Usage Example

The Bureau of Transportation Statistics calculates this value using system data provided by CitiBike NY/JC (New York, NY and Jersey City, NJ), Capital Bikeshare (Washington, DC area), Divvy (Chicago, IL), Bay Wheels (San Francisco, CA), and Blue Bikes (Boston, MA area).

This file contains data on the number and types of vehicles that entered from each entry point on the tolled section of the Thruway with their exit points.

These surveys were conducted to collect data on travel origins and destinations, trip purposes, and travel characteristics of New York City Transit, Metro-North Railroad, and Long Island Rail Road customers with the aim of upgrading the MTA's travel forecasting tools and gaining a better understanding of how people travel. --LIRR origin-destination survey (2012-14) --Metro-North origin-destination survey (2007) --Metro-North origin-destination survey (2017) --MTA New York City travel survey (2008) --MTA New York City travel survey (2018)

This dataset compiles a comprehensive database containing 90,327 street segments in New York City, covering their street design features, streetscape design, Vision Zero treatments, and neighborhood land use. It has two scales-street and street segment group (aggregation of same type of street at neighborhood). This dataset is derived based on all publicly available data, most from NYC Open Data. The detailed methods can be found in the published paper, Pedestrian and Car Occupant Crash Casualties Over a 9-Year Span of Vision Zero in New York City. To use it, please refer to the metadata file for more information and cite our work. A full list of raw data source can be found below:

Motor Vehicle Collisions – NYC Open Data: https://data.cityofnewyork.us/Public-Safety/Motor-Vehicle-Collisions-Crashes/h9gi-nx95

Citywide Street Centerline (CSCL) – NYC Open Data: https://data.cityofnewyork.us/City-Government/NYC-Street-Centerline-CSCL-/exjm-f27b

NYC Building Footprints – NYC Open Data: https://data.cityofnewyork.us/Housing-Development/Building-Footprints/nqwf-w8eh

Practical Canopy for New York City: https://zenodo.org/record/6547492

New York City Bike Routes – NYC Open Data: https://data.cityofnewyork.us/Transportation/New-York-City-Bike-Routes/7vsa-caz7

Sidewalk Widths NYC (originally from Sidewalk – NYC Open Data): https://www.sidewalkwidths.nyc/

LION Single Line Street Base Map - The NYC Department of City Planning (DCP): https://www.nyc.gov/site/planning/data-maps/open-data/dwn-lion.page

NYC Planimetric Database Median – NYC Open Data: https://data.cityofnewyork.us/Transportation/NYC-Planimetrics/wt4d-p43d

NYC Vision Zero Open Data (including multiple datasets including all the implementations): https://www.nyc.gov/content/visionzero/pages/open-data

NYS Traffic Data - New York State Department of Transportation Open Data: https://data.ny.gov/Transportation/NYS-Traffic-Data-Viewer/7wmy-q6mb

Smart Location Database - US Environmental Protection Agency: https://www.epa.gov/smartgrowth/smart-location-mapping

Race and ethnicity in area - American Community Survey (ACS): https://www.census.gov/programs-surveys/acs

This data set includes all sidewalks and curb ramps on the roads system under the jurisdiction of NYSDOT. It contains the Regional Office responsible for the management of the feature (sidewalk or curb ramps), the state county where the feature is located and the route name and number for all sidewalks and curb ramps on state-owned routes within New York State. The data set does not include sidewalks or curb ramps on non-state owned routes such as those owned by cities, towns or villages within the state.

Graph and download economic data for All Employees: School and Employee Bus Transportation in New York (SMU36000004348540001A) from 1990 to 2024 about schools, buses, transportation, NY, employment, and USA.