Annual State-reported licensed driver data from Highway Statistics for the 50 States and DC from Highway Statistics table DL-22.

PLEASE NOTE: This dataset, which includes all TLC Licensed Drivers who are in good standing and able to drive, is updated every day in the evening between 4-7pm. Please check the 'Last Update Date' field to make sure the list has updated successfully. 'Last Update Date' should show either today or yesterday's date, depending on the time of day. If the list is outdated, please download the most recent list from the link below. http://www1.nyc.gov/assets/tlc/downloads/datasets/tlc_medallion_drivers_active.csv This is a list of drivers with a current TLC Driver License, which authorizes drivers to operate NYC TLC licensed yellow and green taxicabs and for-hire vehicles (FHVs). This list is accurate as of the date and time shown in the Last Date Updated and Last Time Updated fields. Questions about the contents of this dataset can be sent by email to: licensinginquiries@tlc.nyc.gov.

Sample Data: https://cloud.drivertechnologies.com/shared?s=59&t=4:01&token=76eb027b-f34d-4c78-8e84-5a15b3b216d1

At Driver Technologies, we are dedicated to harnessing advanced technology to gather anonymized critical driving data through our innovative dash cam app, which operates seamlessly on end users' smartphones. Our Eco Driving Telematics Data offering is a key resource for understanding driver behavior and improving safety on the roads, making it an essential tool for various industries.

What Makes Our Data Unique? Our Eco Driving Telematics Data is distinguished by its real-time collection capabilities, utilizing the built-in accelerometer and gyroscope sensors of smartphones to capture telematics during driving. his data reflects instances of eco driving events, which are key indicators of effecient driving behavior. Through our dataset, gain access to videos, processed through our computer vision model, of particular events and/or a telematics-only trip with an instance of a significant event. By providing data on significant events, our dataset empowers clients to perform in-depth analysis.

How Is the Data Generally Sourced? The data is sourced directly from users who use our dash cam app. As users drive, our app monitors and records telematics data, ensuring that the information is both authentic and representative of real-world driving conditions.

Primary Use-Cases and Verticals Driver Behavior Analysis: Organizations can leverage our telematics data to analyze driving habits and identify trends in aggressive driving behavior. Improving Risk Assessment: Insurers can utilize our dataset to refine their risk assessment models. By understanding the frequency and context of significant events, they can better evaluate driver risk profiles, leading to more accurate premium pricing and improved underwriting processes.

Integration with Our Broader Data Offering The Eco Driving Telematics Data is a crucial component of our broader data offerings at Driver Technologies. It complements our extensive library of driving data collected from various vehicles and road users, creating a comprehensive data ecosystem that supports multiple verticals, including insurance, automotive technology, and smart city planning.

In summary, Driver Technologies' Eco Driving Telematics Data provides a unique opportunity for data buyers to access high-quality, actionable insights that drive innovation across mobility. By integrating our Eco Driving Telematics Data with other datasets, clients can gain a holistic view of transportation dynamics, enhancing their analytical capabilities and decision-making processes.

At Driver Technologies, we are dedicated to harnessing advanced technology to gather anonymized critical driving data through our innovative dash cam app, which operates seamlessly on end users' smartphones. Our Hard Braking Telematics Data offering is a key resource for understanding driver behavior and improving safety on the roads, making it an essential tool for various industries.

What Makes Our Data Unique? Our Hard Braking Data is distinguished by its real-time collection capabilities, utilizing the built-in accelerometer and gyroscope sensors of smartphones to capture telematics during driving. This data reflects instances of hard braking events, which are key indicators of aggressive driving behavior and potential risks on the road. Through our dataset, gain access to videos, processed through our computer vision model, of drivers hard braking and/or a telematics-only trip with an instance of a hard brake. By providing data on braking events, our dataset empowers clients to perform in-depth analysis.

How Is the Data Generally Sourced? The data is sourced directly from users who use our dash cam app. As users drive, our app monitors and records telematics data, ensuring that the information is both authentic and representative of real-world driving conditions.

Primary Use-Cases and Verticals Driver Behavior Analysis: Organizations can leverage our telematics data to analyze driving habits and identify trends in aggressive driving behavior. Improving Risk Assessment: Insurers can utilize our dataset to refine their risk assessment models. By understanding the frequency and context of hard braking events, they can better evaluate driver risk profiles, leading to more accurate premium pricing and improved underwriting processes.

Integration with Our Broader Data Offering The Hard Braking Data is a crucial component of our broader data offerings at Driver Technologies. It complements our extensive library of driving data collected from various vehicles and road users, creating a comprehensive data ecosystem that supports multiple verticals, including insurance, automotive technology, and smart city planning.

In summary, Driver Technologies' Hard Braking Data provides a unique opportunity for data buyers to access high-quality, actionable insights that drive innovation across mobility. By integrating our Hard Braking with other datasets, clients can gain a holistic view of transportation dynamics, enhancing their analytical capabilities and decision-making processes.

OPT does not operate any buses nor does it directly employ any bus drivers or attendants. Drivers and attendants (sometimes referred to as ‘matrons’ or ‘escorts’) and employed by bus vendors themselves. OPT manages systems and processes to ensure that drivers and attendants have all requisite background checks and certifications. The Driver and Attendant summary data is available for each bus vendor and describes the number of active employees by job type.

PLEASE NOTE: This dataset, which includes all TLC Licensed Drivers who are in good standing and able to drive, is updated every day in the evening between 4-7pm. Please check the 'Last Update Date' field to make sure the list has updated successfully. 'Last Update Date' should show either today or yesterday's date, depending on the time of day. If the list is outdated, please download the most recent list from the link below. http://www1.nyc.gov/assets/tlc/downloads/datasets/tlc_shl_drivers_active.csv NYC TLC licensed drivers that are currently active, in good standing and authorized to operate Street Hail Livery (SHL) vehicles. This list is accurate to the date and time represented in the Last Date Updated and Last Time Updated fields. For inquiries about the contents of this dataset, please email licensinginquiries@tlc.nyc.gov.

Graph and download economic data for Moving 12-Month Total Vehicle Miles Traveled (M12MTVUSM227NFWA) from Dec 1970 to Apr 2025 about miles, travel, vehicles, and USA.

Car Dashboard Market Outlook 2032

The global car dashboard market size was USD XX Billion in 2023 and is projected to reach USD XX Billion by 2032, expanding at a CAGR of XX% during 2024–2032. The market growth is attributed to the increasing demand for connected vehicles across the globe.



High demand for connected vehicles is expected to boost the market. Connected vehicles, equipped with internet access and a wireless local area network, allow the car to share internet access and data with devices both inside and outside the vehicle. This connectivity necessitates advanced dashboard systems that manage and display the wealth of information available, from real-time traffic updates and navigation assistance to remote diagnostics and personalized infotainment.

Impact of Artificial Intelligence (AI) in Car Dashboard Market

Artificial Intelligence (AI) has significantly transformed the car dashboards market. The integration of AI into car dashboards has led to the development of advanced features such as voice recognition, driver behavior monitoring, and real-time data analysis. These features enhance the driving experience by providing personalized information and ensuring safety.



AI-powered dashboards monitor driver behavior, detect any signs of fatigue or distraction, and alert the driver accordingly, thereby reducing the risk of accidents. Moreover, AI enables real-time data analysis, which helps in the predictive maintenance of vehicles. By analyzing data from various sensors, AI predicts potential mechanical issues, prompting timely maintenance and preventing costly repairs.



Voice recognition technology in AI-integrated dashboards allows drivers to control various functions such as navigation, music, and climate without taking their hands off the wheel, thereby ensuring convenience and safety. Therefore, AI has a profound impact on the car dashboard market, driving its growth and evolution.

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At Driver Technologies, we specialize in collecting high-quality, highly-anonymized driving data crowdsourced through our dash cam app. Our Car Object Detection Video Data is built from millions of miles of driving data captured by our users and is optimized for training object detection models and enhancing various applications in transportation and safety.

What Makes Our Data Unique? What sets our Car Object Detection Video Data apart is its comprehensive approach to road object detection. By leveraging advanced computer vision models, we analyze the captured video to identify and classify various road objects encountered during an end user's trip. This includes vehicles, pedestrians, traffic signs, road conditions, and more, resulting in rich, annotated datasets that can be applied across a range of industries.

How Is the Data Generally Sourced? Our data is sourced directly from users who utilize our dash cam app, which harnesses the smartphone’s camera and sensors to record during a trip. This direct sourcing method ensures that our data is unbiased and represents a wide variety of conditions and environments. The data is not only authentic and reflective of current road conditions but is also abundant in volume, offering millions of miles of recorded trips that cover diverse scenarios

Primary Use-Cases and Verticals The Car Object Detection Video Data is tailored for various sectors, particularly those involved in transportation, urban planning, and autonomous vehicle development. Key use cases include:

Training Object Detection Models: Clients can utilize our annotated data to develop and refine their own object detection models for applications in autonomous vehicles, ensuring better decision-making capabilities in complex driving environments.

Urban Planning and Infrastructure Development: Our data helps municipalities understand road usage patterns, enabling them to make informed decisions regarding infrastructure improvements, safety measures, and traffic management.

Insurance Analytics: Insurance companies can leverage insights from our data to assess risk in various driving environments, aiding in the development of tailored insurance products and improving claims processing.

Integration with Our Broader Data Offering The Car Object Detection Video Data is a crucial component of our broader data offerings at Driver Technologies. It complements our extensive library of driving data collected from various vehicles and road users, creating a comprehensive data ecosystem that supports multiple verticals, including insurance, automotive technology, and object detection models.

In summary, Driver Technologies' Car Object Detection Video Data provides a unique opportunity for data buyers to access high-quality, actionable insights that drive innovation across mobility. By integrating our Car Object Detection Video Data with other datasets, clients can gain a holistic view of transportation dynamics, enhancing their analytical capabilities and decision-making processes.

This list contains information on the status of current medallion drivers who had completed Passenger Assistance Training. This list is accurate to the date and time represented in the Last Date Updated and Last Time Updated fields. For inquiries about the contents of this dataset, please email licensinginquiries@tlc.nyc.gov. For a historical data up to and including 2016, please refer to https://data.cityofnewyork.us/d/k7b3-4y4m For a historical data for 2017, please refer to https://data.cityofnewyork.us/d/c4dx-tk4d

This list contains the most recently published active medallion drivers list. This is a list of licensees who are currently authorized to operate NYC TLC licensed Taxicabs. The old data set is no longer being updated but can be accessed from the link given below to access data from 03/07/2013 through 01/04/2014 https://data.cityofnewyork.us/Transportation/Medallion-Drivers-Active/n776-dsqy. A new Change Log containing changes in status from 10/28/2013 onwards can be found at https://data.cityofnewyork.us/Transportation/TLC-MEDALLION-ACTIVE-Historical-Data/sjfe-fppp. This list is accurate to the date and time represented in the Last Date Updated and Last Time Updated fields.

At Driver Technologies, we specialize in collecting high-quality, highly-anonymized driving data crowdsourced through our dash cam app. Our Van Automotive Consumer Video Data is built from millions of miles of driving data captured by our users and is optimized for training object detection models and enhancing various applications in transportation and safety.

What Makes Our Data Unique? What sets our Van Automotive Consumer Video Data apart is its comprehensive approach to road object detection. By leveraging advanced computer vision models, we analyze the captured video to identify and classify various road objects encountered during an end user's trip. This includes vehicles, pedestrians, traffic signs, road conditions, and more, resulting in rich, annotated datasets that can be applied across a range of industries.

How Is the Data Generally Sourced? Our data is sourced directly from users who utilize our dash cam app, which harnesses the smartphone’s camera and sensors to record during a trip. This direct sourcing method ensures that our data is unbiased and represents a wide variety of conditions and environments. The data is not only authentic and reflective of current road conditions but is also abundant in volume, offering millions of miles of recorded trips that cover diverse scenarios.

Primary Use-Cases and Verticals The Van Automotive Consumer Video Data is tailored for various sectors, particularly those involved in transportation, urban planning, and autonomous vehicle development. Key use cases include:

Training Object Detection Models: Clients can utilize our annotated data to develop and refine their own object detection models for applications in autonomous vehicles, ensuring better decision-making capabilities in complex driving environments.

Urban Planning and Infrastructure Development: Our data helps municipalities understand road usage patterns, enabling them to make informed decisions regarding infrastructure improvements, safety measures, and traffic management.

Insurance Analytics: Insurance companies can leverage insights from our data to assess risk in various driving environments, aiding in the development of tailored insurance products and improving claims processing.

Integration with Our Broader Data Offering The Van Automotive Consumer Video Data is a crucial component of our broader data offerings at Driver Technologies. It complements our extensive library of driving data collected from various vehicles and road users, creating a comprehensive data ecosystem that supports multiple verticals, including insurance, automotive technology, and object detection models.

In summary, Driver Technologies' Van Automotive Consumer Video Data provides a unique opportunity for data buyers to access high-quality, actionable insights that drive innovation across mobility. By integrating our Van Automotive Consumer Video Data with other datasets, clients can gain a holistic view of transportation dynamics, enhancing their analytical capabilities and decision-making processes.

In 2021, more than 44,000 male drivers were involved in fatal crashes in U.S. road traffic, which accounted for 72.3 percent of the total, while female drivers were involved in about 15,100 fatal crashes. The number of drivers who were involved in fatal crashes has shown an increase of about 16.2 percent from 2016.

To provide a shared basis for comparing traffic light recognition (TLR) systems, the authors publish an extensive public LISA Traffic Light Dataset based on footage from US roads. The dataset contains annotated video sequences, captured under varying light and weather conditions using a stereo camera. The database consists of continuous test and training video sequences, totaling 43,007 frames and 113,888 annotated traffic lights. The sequences are captured by a stereo camera mounted on the roof of a vehicle driving under both night- and daytime with varying light and weather conditions.

Paper : https://doi.org/10.1007/978-981-33-6893-4_6

This table contains data on the annual miles traveled by place of occurrence and by mode of transportation (vehicle, pedestrian, bicycle), for California, its regions, counties, and cities/towns. The ratio uses data from the California Department of Transportation, the U.S. Department of Transportation, and the U.S. Census Bureau. The table is part of a series of indicators in the Healthy Communities Data and Indicators Project of the Office of Health Equity. Miles traveled by individuals and their choice of mode – car, truck, public transit, walking or bicycling – have a major impact on mobility and population health. Miles traveled by automobile offers extraordinary personal mobility and independence, but it is also associated with air pollution, greenhouse gas emissions linked to global warming, road traffic injuries, and sedentary lifestyles. Active modes of transport – bicycling and walking alone and in combination with public transit – offer opportunities for physical activity, which has many documented health benefits. More information about the data table and a data dictionary can be found in the About/Attachments section.

According to Cognitive Market Research, the Automotive Driver State Monitoring Systems Market Size will be USD XX Million in 2024 and is set to achieve a market size of USD XX Million by the end of 2031 growing at a CAGR of XX% from 2025 to 2033

• North America held share of XX% in the year 2024 • Europe held share of XX% in the year 2024 • Asia-Pacific held share of XX% in the year 2024 • South America held share of XX% in the year 2024 • Middle East and Africa held share of XX% in the year 2024 Automotive Driver State Monitoring Systems Dynamics Markets

Key Drivers for Automotive Driver State Monitoring Systems Market.

Regulation favouring the enhancements in safety standards are increasing the market of automotive driver state monitoring systems

The automotive driver monitoring system market is driven by the regulation that support the enhancement of safety standard and implementation of safety system like the ADAS and ADSM. Governments across regions Are actively working for the enhance of safety by increasing the quality standard and regulation for the automotive sectors. The regulation is in favour of integrating advance system that enhance the passenger safety. The factor like increasing road safety awareness and enhancement in driver attention are key reasons behind the implementation of these regulation. The regulations are formed to prevent accidents as the implantation of automotive driver monitoring system alters the driver by sending alerts and intervention enhancing the driver ability to concentrate on the road and reduce the risk of accidents. The automotive driver state monitoring systems are a key safety improvement in the modern vehicles. these systems not only prevent accidents but also have positive impact on the market demand and consumer perception in the market. The regulation is driving the growth by favouring the integration of advanced safety system in the modern vehicles. for instance, the EU General Safety Regulation (GSR) is mandating the use of in-cabin sensors to detect drowsiness and distraction in new automotive vehicles. According to EU the new safety measures are expected to saving over 25,000 lives and avoid at least 140,000 serious injuries by 2038. (Source https://ec.europa.eu/commission/presscorner/detail/en/ip_22_4312)

Key Restraints for Automotive Driver State Monitoring Systems Market

Data privacy concerns are restricting the growth of automotive driver state monitoring market.

The market growth of automotive driver monitoring system is restricted by the rising concerns about the data privacy concerns. The automotive driver state monitoring systems involves sensor and cameras which are installed in car which help the system to collect data and transmit signals if required. This data is collected by the car company and the risk of increasing data privacy breech and companies selling data is restricting the market growth as it affects the consumer perception of the market. The automotive driver state monitoring system market is depending upon its accuracy and effectiveness for which it requires extensive data collected from the car about the driver and the passenger which raises privacy concerns and potbelly undermine the safety benefits of the driver assistance technologies. Many advance automakers have complicated privacy policies that are not clear and use to much legal and technical language for normal consumers to understand. The automive driver state monitoring system collective larger amount of data every driver and may lead to a potentially outbreak of the consumer privacy and might violate the consumer privacy act. For instance, Honda America is fined 632,500 dollars by the consumer privacy protection agency to resolve claims that company violated the state’s consumer privacy act. These concerns have a negative impact on the overall market and consumer preferences restricting market growth of the automotive driver state monitoring systems. (Source https://cppa.ca.gov/announcements/2025/20250312.html) Introduction of the Automotive Driver State Monitoring Systems Market. According to Cognitive Market Research Automotive Driver State Monitoring Systems Market Size is USD XX million in 2024 and is set to achieve a market size of USD XX million by the end of 2033 growing at a...

The size of the US Data Center Industry market was valued at USD XX Million in 2023 and is projected to reach USD XXX Million by 2032, with an expected CAGR of 6.00% during the forecast period.A data center is a facility that keeps computer systems and networking equipment housed, processing, and transmitting data. It represents the infrastructure on which organizations carry out their IT operations and host websites, email servers, and database servers. Data centers, therefore, are imperative to any size business: small start-ups or large enterprise since they enable digital transformation, thus making business applications available.The US data center industry is one of the largest and most developed in the world. The country boasts robust digital infrastructure, abundant energy resources, and a highly skilled workforce, making it an attractive destination for data center operators. Some of the drivers of the US data center market are the growing trend of cloud computing, internet of things (IoT), and high-performance computing requirements.Top-of-the-line technology companies along with cloud service providers set up major data center footprints in the US, mostly in key regions such as Silicon Valley and Northern Virginia, Dallas, for example. These data centers support applications such as e-commerce-a manner of accessing streaming services-whose development depends on its artificial intelligence financial service type. As demand increases concerning data center capacity, therefore, the US data centre industry will continue to prosper as the world's hub for reliable and scalable solutions. Recent developments include: February 2023: The expansion of Souther Telecom to its data center in Atlanta, Georgia, at 345 Courtland Street, was announced by H5 Data Centers, a colocation and wholesale data center operator. One of the top communication service providers in the southeast is Southern Telecom. Customers in Alabama, Georgia, Florida, and Mississippi will receive better service due to the expansion of this low-latency fiber optic network.December 2022: DigitalBridge Group, Inc. and IFM Investors announced completing their previously announced transaction in which funds affiliated with the investment management platform of DigitalBridge and an affiliate of IFM Investors acquired all outstanding common shares of Switch, Inc. for USD approximately USD 11 billion, including the repayment of outstanding debt.October 2022: Three additional data centers in Charlotte, Nashville, and Louisville have been made available to Flexential's cloud customers, according to the supplier of data center colocation, cloud computing, and connectivity. By the end of the year, clients will have access to more than 220MW of hybrid IT capacity spread across 40 data centers in 19 markets, which is well aligned with Flexential's 2022 ambition to add 33MW of new, sustainable data center development projects.. Key drivers for this market are: , High Mobile penetration, Low Tariff, and Mature Regulatory Authority; Successful Privatization and Liberalization Initiatives. Potential restraints include: , Difficulties in Customization According to Business Needs. Notable trends are: OTHER KEY INDUSTRY TRENDS COVERED IN THE REPORT.

Historical licensee status data. Data dictionary available here: https://data.cityofnewyork.us/api/views/p32s-yqxq/files/20bca1de-74f0-462e-8574-f25ca66b8346?download=true&filename=NewDriverAppStatusLookupLegend.pdf

For questions, please email newdriverapp@tlc.nyc.gov.