**This data set was last updated 3:30 PM ET Monday, January 4, 2021. The last date of data in this dataset is December 31, 2020. **

Overview

Data shows that mobility declined nationally since states and localities began shelter-in-place strategies to stem the spread of COVID-19. The numbers began climbing as more people ventured out and traveled further from their homes, but in parallel with the rise of COVID-19 cases in July, travel declined again.

This distribution contains county level data for vehicle miles traveled (VMT) from StreetLight Data, Inc, updated three times a week. This data offers a detailed look at estimates of how much people are moving around in each county.

Data available has a two day lag - the most recent data is from two days prior to the update date. Going forward, this dataset will be updated by AP at 3:30pm ET on Monday, Wednesday and Friday each week.

This data has been made available to members of AP’s Data Distribution Program. To inquire about access for your organization - publishers, researchers, corporations, etc. - please click Request Access in the upper right corner of the page or email kromano@ap.org. Be sure to include your contact information and use case.

Findings

• Nationally, data shows that vehicle travel in the US has doubled compared to the seven-day period ending April 13, which was the lowest VMT since the COVID-19 crisis began. In early December, travel reached a low not seen since May, with a small rise leading up to the Christmas holiday.
• Average vehicle miles traveled continues to be below what would be expected without a pandemic - down 38% compared to January 2020. September 4 reported the largest single day estimate of vehicle miles traveled since March 14.
• New Jersey, Michigan and New York are among the states with the largest relative uptick in travel at this point of the pandemic - they report almost two times the miles traveled compared to their lowest seven-day period. However, travel in New Jersey and New York is still much lower than expected without a pandemic. Other states such as New Mexico, Vermont and West Virginia have rebounded the least. ## About This Data The county level data is provided by StreetLight Data, Inc, a transportation analysis firm that measures travel patterns across the U.S.. The data is from their Vehicle Miles Traveled (VMT) Monitor which uses anonymized and aggregated data from smartphones and other GPS-enabled devices to provide county-by-county VMT metrics for more than 3,100 counties. The VMT Monitor provides an estimate of total vehicle miles travelled by residents of each county, each day since the COVID-19 crisis began (March 1, 2020), as well as a change from the baseline average daily VMT calculated for January 2020. Additional columns are calculations by AP.

Included Data

01_vmt_nation.csv - Data summarized to provide a nationwide look at vehicle miles traveled. Includes single day VMT across counties, daily percent change compared to January and seven day rolling averages to smooth out the trend lines over time.

02_vmt_state.csv - Data summarized to provide a statewide look at vehicle miles traveled. Includes single day VMT across counties, daily percent change compared to January and seven day rolling averages to smooth out the trend lines over time.

03_vmt_county.csv - Data providing a county level look at vehicle miles traveled. Includes VMT estimate, percent change compared to January and seven day rolling averages to smooth out the trend lines over time.

Additional Data Queries

* Filter for specific state - filters 02_vmt_state.csv daily data for specific state.

* Filter counties by state - filters 03_vmt_county.csv daily data for counties in specific state.

* Filter for specific county - filters 03_vmt_county.csv daily data for specific county.

Interactive

The AP has designed an interactive map to show percent change in vehicle miles traveled by county since each counties lowest point during the pandemic:

@(https://interactives.ap.org/vmt-map/)

Interactive Embed Code

Using the Data

This data can help put your county's mobility in context with your state and over time. The data set contains different measures of change - daily comparisons and seven day rolling averages. The rolling average allows for a smoother trend line for comparison across counties and states. To get the full picture, there are also two available baselines - vehicle miles traveled in January 2020 (pre-pandemic) and vehicle miles traveled at each geography's low point during the pandemic.

Caveats

• The data from StreetLight Data, Inc does not include data for some low-population counties with low VMT (<5,000 miles/day in their baseline month of January 2020). In our analyses, we only include the 2,779 counties that have daily data for the entire period (March 1, 2020 to current).
• In some cases, a lack of decline in mobility from March to April can indicate that movement in the county is essential to keeping the larger economy going or that residents need to drive further to reach essentials businesses like grocery stores compared to other counties.
• The VMT includes both passenger and commercial miles, so truck traffic is included. However, the proxy is based on the "total number of trip starts and ends for all devices whose most frequent location is in this county". It does not count the VMT of trucks cutting through a county.
• For those instances where travel begins in one county and ends in another, the county where the miles are recorded is always the vehicle’s home county. ###### Contact reporter Angeliki Kastanis at akastanis@ap.org.

DATA SOURCES:

1. ONLY state sources (city/county/state administration, state agencies, ministries, police departments, etc.). We DO NOT use unverified databases as our data sources as we cannot guarantee data accuracy
2. Over 800 sources. We use even the smallest sources, because they contain valuable data. This allows us to provide our users with the most complete data

DATA RELEVANCE:

1. Our data is updated daily, weekly, monthly depending on the sources
2. We collect, process and store all data, regardless of their relevance. Historical data is also valuable.

DATA TYPES:

1. Specifications
2. Owners
3. Odometer reading
4. Vehicle inspections
5. Thefts
6. Parking violations
7. Road accidents
8. Sales
9. Taxes
10. Recalls
11. ...

NUMBERS:

1. 800 data sources in total
2. 200 million vehicles in total
3. 4 billion records (listed in the "data types" block above) in total
4. 2 million new records every day
5. 30 years of historical vehicle data

DATA USAGE:

1. Vehicle check (even the smallest events are stored in our database)
2. Prospecting (more than 80 parameters to find the required records)
3. Tracking vehicles (our data allows us to track the actions of vehicles in different jurisdictions around the world)

Type: Active systems provide real-time tracking with continuous location updates, making them preferred for fleet management and safety applications. Passive systems, on the other hand, store data internally and require manual retrieval, making them more suitable for personal vehicle tracking and monitoring.Technology: Global Navigation Satellite System (GNSS), encompassing GPS, GLONASS, and BeiDou, remains the dominant technology for vehicle tracking. Cellular and satellite connectivity also find application, especially in areas with limited GNSS coverage.Vehicle Type: Passenger cars continue to hold a significant market share, primarily driven by personal vehicle tracking and ride-sharing services. Commercial vehicles, including trucks, buses, and vans, are also witnessing increasing demand due to the need for fleet management and regulatory compliance.Application: Fleet management remains the primary application for vehicle tracking systems, enabling businesses to optimize vehicle utilization, reduce fuel consumption, and improve driver safety. Personal vehicle tracking is gaining traction due to rising concerns over vehicle theft and personal security. Commercial applications include vehicle leasing, equipment tracking, and insurance telematics. Recent developments include: January 2024: It is reported that the National Highways Authority of India is getting ready to install cutting-edge vehicle tracking technology by the first half of 2024. The National Highway Traffic Administration (NHTI) is prepared to implement GPS-based toll collection and is getting ready to roll out the system. Anurag Jain, the secretary of the Roads Ministry, is believed to have said that pilot testing of the technology would begin on some routes, as stated by several media., In April 2023, the partnership between Vehari Police and iTecknologi Group led to the launch of Advanced Vehicle Tracking Services that would enhance police fleet monitoring and safety, a move that will provide up-to-date location information about all their vehicles in real-time., In Kolkata, the West Bengal Chief Minister inaugurated a new system in January 2023. This state-wide measure is expected to bring great improvements to the transportation sector. The first phase will see an approximate total of 160,000 vehicles fall under this initiative. Evidently, starting this system is yet another step towards improving transport efficiency within West Bengal. Global Telemetrics partnered with ineedatracker.com in August 2022. This implies that they no longer have a business as a shopkeeper but as a provider of monitored vehicle tracking systems., CalAmp’s LoJack Italia subsidiary in September 2021 launched CalAmp iOn, which is the fully integrated fleet and asset management solution designed for transport, industrial, government, commercial and service fleet operators who are willing to reduce costs, increase operational efficiency and improve fleet safety.. Notable trends are: Increasing demand for commercial vehicles is driving the market growth.

Engine Fault Data (Sample of Data Elements) • Vehicle active (driving, idling, stopped) • Odometer • Fuel level (percentage) • Driver seat belt status • Engine operational time

With over 20 years of historic data, we are currently tracking more than 120,000 vehicles in addition to having tracked more than 1,200,000 vehicles

The dataset provided here is an output of the Track & Know project, shared with the scientific community. It is an anonymized dataset of private vehicles. The dataset, containing anonymous GPS traces of private vehicles, was made accessible by the data owner to the partners of the Track & Know project, for activities relevant to the project. The proprietary dataset is not accessible to the public. It includes vehicle engine status.

224 Global import shipment records of Vehicle Track with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Brazil Vehicles Registration: Track-Type Tractor data was reported at 208.000 Unit in Oct 2018. This stayed constant from the previous number of 208.000 Unit for Sep 2018. Brazil Vehicles Registration: Track-Type Tractor data is updated monthly, averaging 144.000 Unit from Dec 2002 (Median) to Oct 2018, with 191 observations. The data reached an all-time high of 209.000 Unit in Apr 2013 and a record low of 52.000 Unit in Jan 2003. Brazil Vehicles Registration: Track-Type Tractor data remains active status in CEIC and is reported by National Traffic Department. The data is categorized under Global Database’s Brazil – Table BR.RAK001: Vehicle Fleet. Considers new and used vehicles

Subscribers can find out export and import data of 23 countries by HS code or product’s name. This demo is helpful for market analysis.

510 Global export shipment records of Tracking Vehicle with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

To date, GPS tracking data for minibus taxis has only been captured at a sampling frequency of once per minute. This is the first GPS tracking data captured on a per-second (1 Hz) basis. Minibus taxi paratransit vehicles in South Africa are notorious for their aggressive driving behaviour characterised by rapid acceleration/deceleration events, which can have a large effect on vehicle energy consumption. Infrequent sampling cannot capture these micro-mobility patterns, thus missing out on their effect on vehicle energy consumption (kWh/km). We hypothesised that to construct high fidelity estimates of vehicle energy consumption, higher resolution data that captures several samples per movement would be needed. Estimating the energy consumption of an electric equivalent (EV) to an internal combustion engine (ICE) vehicle is requisite for stakeholders to plan an effective transition to an EV fleet. Energy consumption was calculated following the kinetic model outline in "The bumpy ride to electrification: High fidelity energy consumption estimates for minibus taxi paratransit vehicles in South Africa".

Six tracking devices were used to record GPS data to an SD card at a frequency of 1Hz. The six recording devices are based on the Arduino platform and powered from alkaline battery packs. The device can therefore operate independently of any other device during tests. The acquired data is separately processed after the completion of data recording. Data captured is initiated with the press of a button, and terminated once the vehicle reached the destination. Each recorded trip creates an isolated file. This allows for different routes to be separately investigated and compared to other recordings made on the same route.

There are 62 raw trip files, all found in the attached 'raw data' folder under the corresponding route and time of day in which they were captured. The raw data includes date, time, velocity, elevation, latitude, longitude, heading, number of satellites connected, and signal quality. Data was recorded on three routes, in both directions, for a total of six distinct routes. Each route had trips recorded in the morning (before 11:30AM) , afternoon (11:30AM-4PM) and evening (after 4PM).

The processed data is available in the 'Processed Data' folder. In addition to the raw data, these processed data files include the displacement between observations, calculated using Geopy's geodesic package, and the estimated energy provided by the vehicle's battery for propulsion, braking, and offload work. The python code for the kinetic model can be found in the attached GitHub link https://github.com/ChullEPG/Bumpy-Ride.

Snapshot img

Automotive Telematics Market Size 2024-2028

The automotive telematics market size is forecast to increase by USD 170 billion at a CAGR of 25.2% between 2023 and 2028.

The market is experiencing significant growth, driven by the increasing popularity of electric vehicles (EVs) and the integration of Internet of Things (IoT) technology. Telematics services, including GPS tracking and vehicle diagnostics, are becoming essential for commercial and personal use. The adoption of telematics in commercial fleets is increasing due to the need for real-time vehicle monitoring and optimization of fleet operations. However, the high cost associated with telematics services remains a challenge for some consumers and fleet operators. Additionally, the development of autonomous vehicles is expected to revolutionize the automotive industry and further expand the market for telematics services.
The telecommunications industry plays a crucial role in enabling the connectivity required for telematics services, making it an essential partner for market growth. Overall, the market is poised for continued growth, driven by technological advancements and changing consumer preferences.

What will be the Size of the Automotive Telematics Market During the Forecast Period?

Request Free Sample

The market encompasses the integration of wireless communications, electrical engineering, and vehicular technologies in passenger vehicles and commercial fleets. This market's growth is driven by the increasing demand for enhanced safety features, improved driving experience, and efficient fleet management. Embedded telematics systems, such as those integrated into vehicle production, are gaining popularity due to their seamless integration and advanced capabilities. Telematics systems enable real-time vehicle data transmission, enabling safety, security, insurance telematics, and fleet optimization. New energy vehicles and commercial fleets, including those operated by UPS and other logistics companies, are significant contributors to the market's growth. The market consists of both embedded and tethered segments, with the former gaining traction due to its ability to offer a more integrated solution.
The telecommunications industry's advancements in wireless communications continue to fuel the market's expansion, enabling the development of more sophisticated GPS systems and wireless telematics devices. The market's size is projected to grow significantly, reflecting the industry's ongoing commitment to innovation and the evolving needs of road transportation.
The automotive telematics market is witnessing rapid advancements with the growth of connected vehicle technology and AI-powered telematics. Fleet management solutions are increasingly relying on GPS tracking systems for real-time vehicle diagnostics and remote vehicle monitoring. Usage-based insurance (UBI) models are benefiting from precise data collection, while V2X communication enhances vehicle interaction with infrastructure. Electric vehicle telematics are growing, driven by the demand for efficient energy usage and monitoring. Over-the-air (OTA) updates and 5G-enabled telematics enable seamless vehicle performance enhancements. Predictive maintenance solutions are improving uptime, and autonomous vehicle data analytics is paving the way for future innovations. Cloud-based telematics platforms and enhanced cybersecurity are also crucial for securing data and driving the industry's digital transformation.

How is this Automotive Telematics Industry segmented and which is the largest segment?

The industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.

Distribution Channel

  OEM
  Aftermarket


Application

  Passenger cars
  Commercial vehicles


Geography

  North America

    US


  APAC

    China
    Japan


  Europe

    Germany
    UK


  South America



  Middle East and Africa

By Distribution Channel Insights

The OEM segment is estimated to witness significant growth during the forecast period.

In the automotive industry, telematics systems have become an integral part of modern vehicles, enhancing safety, efficiency, and connectivity. Embedded telematics solutions, integrated during the manufacturing process, offer a seamless user experience and are deeply embedded in infotainment and control systems. Safety and security features, such as automatic crash notifications, emergency assistance, stolen vehicle tracking, and remote immobilization, are essential components of OEM telematics. These features improve driver and passenger safety. Remote diagnostics through OEM telematics enable predictive maintenance, minimizing downtime, and streamlining service operations. Telematics systems in f

The data is unique due to its integration of real-time vehicle location tracking and comprehensive order management, specifically designed to optimize last-mile delivery processes and enhance customer satisfaction. It is sourced from a network of reliable third-party aggregators, ensuring accuracy and richness through continuous validation and updates.

| Volume and Stats | Industry records undergo an unmatched refresh every two weeks. Many prominent sales and marketing platforms rely on curating firsthand data.

| Data Use Cases | 1. Route Optimization: Utilize real-time data to determine the most efficient delivery routes, minimizing travel time and reducing fuel costs. 2. Order Status Management: Track orders from placement to delivery, providing customers with timely updates and improving transparency in the delivery process. 3. Geo-POI Integration: Incorporate geographic points of interest to assist drivers in identifying optimal stops and enhancing delivery efficiency. 4. Performance Analytics: Analyze delivery performance metrics to evaluate driver efficiency and on-time delivery rates, enabling targeted improvements. 5. Demand Forecasting: Leverage historical delivery data to predict demand trends, helping businesses manage inventory and allocate resources effectively.

| Delivery Options | Choose from various delivery options such as flat files, databases, APIs, and more, tailored to your needs. JSON, XLS, CSV

| Other key features | Free data samples

Tags: Data Analytics, Last-Mile Delivery, Client 3227, Route Optimization, Order Management, Customer Satisfaction, Logistics Technology, Geo-POI, Vehicle Location Tracking, Performance Metrics, Demand Forecasting, Operational Efficiency, Fleet Management, Real-Time Data, Supply Chain Optimization, Delivery Tracking, Customer Communication, Inventory Management, Efficiency Solutions, Transportation Insights, Delivery Performance.

4 Active Global Vehicle Gps Tracking buyers list and Global Vehicle Gps Tracking importers directory compiled from actual Global import shipments of Vehicle Gps Tracking.

The global 4G On-Board Diagnostics (OBD) GPS tracker market, valued at $556 million in 2025, is projected to experience steady growth, driven by increasing demand for enhanced fleet management solutions and the rising adoption of telematics in the automotive industry. The Compound Annual Growth Rate (CAGR) of 3.1% from 2025 to 2033 indicates a consistent expansion, albeit moderate, suggesting a mature yet evolving market. Key drivers include the need for real-time vehicle tracking, fuel efficiency optimization, and improved driver safety. The integration of 4G connectivity ensures reliable data transmission, enabling remote diagnostics and proactive maintenance, thus reducing operational costs and downtime. Market segmentation reveals a significant portion of demand stemming from passenger cars, followed by commercial vehicles, with the 'multiple positioning modes' type dominating due to its enhanced accuracy and reliability. While specific restraints are not detailed, potential challenges could include the initial investment costs for implementing such systems and potential cybersecurity vulnerabilities. Competition is likely intense, with numerous established players and emerging regional vendors vying for market share. Future growth may be further accelerated by technological advancements such as the integration of artificial intelligence (AI) for predictive maintenance and improved data analytics capabilities. The geographic distribution of the market is expected to be diverse, with North America and Europe representing significant initial markets due to high vehicle ownership and stringent regulations. However, rapid growth is anticipated in the Asia-Pacific region, driven by increasing urbanization, economic development, and the expansion of logistics and transportation networks within countries like China and India. The market’s evolution will likely be shaped by the ongoing transition to 5G technology, further enhancing data transmission speeds and enabling more sophisticated applications. Furthermore, government initiatives promoting intelligent transportation systems (ITS) will likely play a crucial role in market expansion. The continued integration of OBD GPS trackers with various fleet management platforms will also contribute to market growth, leading to a more streamlined and efficient ecosystem for managing vehicles.

The global Car GPS Tracker market is experiencing robust growth, projected to reach $23.54 billion in 2025, exhibiting a Compound Annual Growth Rate (CAGR) of 6.8% from 2019 to 2033. This expansion is driven by increasing demand for enhanced fleet management solutions across various sectors, including logistics, transportation, and personal vehicle security. The rising adoption of connected car technologies and the growing need for real-time vehicle tracking to improve operational efficiency and reduce fuel costs are significant contributing factors. Furthermore, advancements in GPS technology, offering more accurate tracking and enhanced features like geofencing and driver behavior monitoring, are fueling market growth. The market is segmented by tracker type (wired and wireless) and application (passenger cars and commercial vehicles), with wireless trackers experiencing higher adoption due to their ease of installation and flexibility. Competition among leading players like Orbcomm, Meitrack, and Queclink is intensifying, leading to innovation in product features and pricing strategies. The North American and European markets currently hold significant market share, but the Asia-Pacific region is expected to witness rapid growth driven by increasing vehicle ownership and improving infrastructure. Looking ahead, the Car GPS Tracker market is poised for continued expansion, fueled by the increasing penetration of IoT (Internet of Things) devices and the development of advanced analytics capabilities to derive valuable insights from tracking data. Government regulations promoting safety and security in transportation, particularly for commercial fleets, will further drive market adoption. However, challenges remain, including concerns about data privacy and security, and the need for robust network infrastructure to support real-time tracking. Technological advancements focusing on low-power consumption and improved battery life for wireless trackers will be crucial in shaping the market's future trajectory. The integration of GPS trackers with other vehicle systems, creating a holistic connected car ecosystem, will be a key trend in the coming years. The market's continued growth trajectory indicates significant opportunities for existing players and new entrants alike. This comprehensive report provides an in-depth analysis of the global car GPS trackers market, projected to reach a value exceeding $10 billion by 2028. It delves into key market segments, competitive landscapes, and future growth trajectories, offering actionable insights for businesses operating in or planning to enter this dynamic sector. The report leverages extensive primary and secondary research, incorporating data from leading market players and industry experts. High-search-volume keywords like "GPS tracking devices for cars," "vehicle tracking system," "fleet management solutions," and "automotive telematics" are strategically integrated throughout the report to ensure maximum online visibility.

34 Global import shipment records of Gps Tracking Vehicle with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

Car Tracker

## Overview

Car Tracker is a dataset for object detection tasks - it contains Vehicles annotations for 320 images.

## Getting Started

You can download this dataset for use within your own projects, or fork it into a workspace on Roboflow to create your own model.

  ## License

  This dataset is available under the [CC BY 4.0 license](https://creativecommons.org/licenses/CC BY 4.0).

LoRaWAN Gateway Performance and Vehicle Tracking Data

https://doi.org/10.5061/dryad.w0vt4b939

Description of the data and file structure

The dataset contains detailed measurements collected from the transmitter and gateways, categorized as follows:

• Transmitter Information:
  • Sent timestamp (sent_timestamp)
  • Vehicle's geographic location (longitude, latitude, altitude)
  • Vehicle's orientation (pitch, yaw, roll)
  • Vehicle's velocity (velocity_x, velocity_y, velocity_z)
  • Spreading factor (tx_spreadingFactor)
  • GPS data (number_of_satellites)
  • Package number and ID
• Gateway Data:
  • Received signal strength (rx_rssi)
  • Signal to noise ratio (rx_snr)
  • Reception timestamp (rx_time)
  • The channel used for receiving the data (rx_channel)
  • RF chain id used for receiving the signal (rx_rfChain)
  • Gateway geographic location (rx_location_latitude, rx_location_longitude, rx_location_altitude)
  • Gateway ID...

Data collected from several instruments that were on-board the Colorado State University Tahoe mobile plume tracking vehicle during Phase 1 (July and August 2021) of the TRANS2AM campaign. Included are data from a Picarro G2508 Analyzer (methane, ammonia, carbon dioxide, and water vapor), a Picarro G2203 Analyzer (methane and water vapor), a Particle Measuring Systems Air Sentry Ammonia Analyzer (ammonia), and a meteorological mast (surface winds, air temperature, and relative humidity.

This dataset provides the total numbers of vehicles registered in the ACT as at the first day of each month by their motive power. Motive power in this case indicates the fuel source of the vehicle. These data are used to track the uptake of Zero Emissions Vehicles in the ACT.