Annual average daily truck traffic is the total truck traffic volume divided by 365 days. Truck counting is done throughout the state in a program of continuous truck count sampling. The sampling includes a partial day, 24-hour, 7-day and continuous vehicle classification counts. The partial day and 24-hour counts are usually made on high volume, urban highways. The 7-day counts are made on low volume, rural highways. The counts are usually taken only once in the year. About one-sixth of the locations are counted annually. The resulting counts are adjusted to an estimate of annual average daily truck traffic by compensating for seasonal influence, weekly variation, and other variables that may be present. Annual average daily truck traffic is necessary for presenting a statewide picture of truck flow, evaluating truck trends, planning and designing highways and for other purposes. Truck traffic is classified by number of axles. The two-axle class includes 11/2-ton trucks with dual rear tires and excludes pickups and vans with only four tires. Total vehicle AADT for the same year is taken from the Traffic Volumes on California State Highways booklet also published by the California Department of Transportation.Reference Link: https://www.dot.ca.gov/hq/traffops/saferesr/trafdata/index.htm

Limitations of Replica vehicle volume data: The map shows quarterly daily average vehicle volume at road link level provided by Replica, Inc. It includes estimates of volumes of passenger vehicles, buses, on-demand vehicles, and commercial trucks. SACOG staff only validated passenger vehicle volume and bus at road links with observed data. Due to lack of observed truck volume, the estimates of truck volume used in this map were not validated. Users should be aware of the limitations of truck volume in applications.

The FDOT Truck Traffic Volume feature class provides spatial information on annual average daily truck volumes along roadway traffic breaks. It also contains additional information from the FDOT Traffic Characteristics Inventory database. This dataset is maintained by the Transportation Data & Analytics office (TDA). The source spatial data for this hosted feature layer was created on: 07/12/2025.Download Data: Enter Guest as Username to download the source shapefile from here: https://ftp.fdot.gov/file/d/FTP/FDOT/co/planning/transtat/gis/shapefiles/truck_volume.zip

Data collected between 2005 to 2007, 3% of sample collected in 2005, 51% in 2006 and 46% in 2007. This dataset contains a compilation of data collected from different sources. VOG 06/ VOG 08 (Value of Goods) : The data is derived from the information collected in the 2006 Ontario Commercial Vehicle Survey. This survey is a roadside intercept survey of truck drivers, which collects information about the trip, commodity and the vehicle. The survey primarily captures intercity trucking activity and under-represents truck flows in urban areas. The value of goods provided in this table is derived from the Commercial Vehicle Survey, but factored up to represent the overall trucking activity on the network segment for 2006 and 2008. **AADTT 2006 and ****AADTT** 2008: The data is derived from the Ministry of Transportation's (MTO) inventory of annual traffic data for the Provincial Highways. The commercial volumes are first calculated using the AADT and the Commercial Percentage values for each traffic segment. These values are then adjusted to remove variations between segments caused by fluctuations in AADT. The volume given for each direction is one-half of the total value. MTO does not maintain volume by direction. For freeway segments with core/collector configuration, the total volume is divided into four equal portions and assigned to each stream. **Hourly Truck Volumes ( WD00-23 and WN00-23): ** These fields contain estimates of average hourly volumes for a typical weekday and weekend day. The estimates are based on observed hourly distribution at more than 100 directional Commercial Vehicle Survey sites across the province, AADTT and other information. RD _NAME: Name of the road VOG 06: 2006 average daily value of goods assigned to road network link by directions. VOG 08: 2008 average daily value of goods assigned to road network link by directions. AADTT 2006: 2006 Annual Average Daily Truck Traffic; it is the truck volume assigned to road network link by directions. AADTT 2008: 2008 Annual Average Daily Truck Traffic; it is the truck volume assigned to road network link by directions. WD 00-23: 2008 Weekday ( WD ) hourly truck volume; 00 - 23 represents starting hour of the day (e.g. 12 represents 12 P.M. - 1 P.M.). WN 00-23: 2008 Weekend ( WN ) hourly truck volume; 00 - 23 represents starting hour of the day (e.g. 12 represents 12 P.M. - 1 P.M.). *[ WD]: Week day *[VOG]: Value of Goods *[AADTT]: Annual Average Daily Truck Traffic *[WN]: Week end *[RD]: Road *[WD]: Week day *[MTO]: Ministry of Transportation *[AADT]: Annual Average Daily Traffic

The freight volume carried by trucking carriers in the United States increased significantly until 2020. In that year, ***** billion tons of freight was transported by trucks in the U.S., down from ***** billion tons in 2019 - the largest value carried by trucking services registered in the period of consideration.

This data derives from USDA/AMS/Market News/Specialty Crops Program movement data, including only truck and import modes at domestic origins. It includes daily fruit and vegetable refrigerated truck volumes by origin district and commodity (from 2000 to 2010, data is weekly). The Transportation Services Division assigns a broader region to the origins in order to join to refrigerated truck rate and availability data.

The data is collected by AMS market reporters. Truck shipments for all commodities and origins are not available. Those obtainable are reported, but should not be interpreted as representing complete movements of a commodity. Truck shipments are collected at shipping points and include both inter and intrastate movements. They are obtained from various sources, including Federal marketing orders, administrative committees, Federal State inspection service and shippers. Methods used include telephone interviews, faxes, emails, and access to other data sources. The movement data is subject to adjustment as new information becomes available. The latest data will generally be under-reported until revisions are made. Updates to Market News Movement data can happen daily, weekly, monthly, and can happen at any time during the season. The Transportation Services Division updates our data from Market News weekly, including historical revisions.

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

This application shows 1988 to 2019 annual average daily traffic (AADT) and annual average daily truck traffic (AADTT) on provincial highways. The data is derived from the Ministry of Transportation’s (MTO) inventory of annual traffic data for the Provincial Highways. The commercial vehicle volume data is sourced from the 2012 Commercial Vehicle Survey. The commercial volumes are first calculated using the AADT and the Commercial Percentage values for each traffic segment. These values are then adjusted to remove variations between segments cause d by fluctuations in AADT.MTO does not maintain volume by direction. For freeway segments with core/collector configuration, the total volume is divided into four equal portions and assigned to each stream. For other freeway segments, the volume given for each direction is one-half of the total value. Some highway routes which have not yet been assigned an official highway number, are included under the title Selected 7000 Series Highways.

This map shows volumes of commercial truck traffic that originate and arrive (destination) by block group (2020 Census)Limitations of Replica vehicle volume data: The map shows quarterly daily average vehicle volume at road link level provided by Replica, Inc. It includes estimates of volumes of passenger vehicles, buses, on-demand vehicles, and commercial trucks. SACOG staff only validated passenger vehicle volume and bus at road links with observed data. Due to lack of observed truck volume, the estimates of truck volume used in this map were not validated. Users should be aware of the limitations of truck volume in applications.

Graph and download economic data for Truck Tonnage Index (TRUCKD11) from Jan 2000 to May 2025 about tonnage, trucks, and USA.

Quarterly totals of refrigerated truck load volumes (tonnage) from U.S. origin shipping areas and cross-border movements from Mexico and Canada for individual fruit and vegetable varieties.

Note: Entries marked zero tons were registered commodity movements, but the sum of all shipment volumes totaled less than 1 ton.

This dataset is intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production, or to provide a basemap to support graphical overlays and analysis with other spatial data.

The PTV traffic volume API provides traffic volumes for various time periods and vehicle segments for a specific location (x,y coordinate) and a buffer around the location in Germany and France.

All traffic volumes are available for the following vehicle segments: - Cars Trucks up to 3.5t - Trucks between 3.5 and 7.5t - Trucks between 7.5 and 12t - Trucks above 12t

Time periods for Germany are: - Average Daily Traffic for Monday - Average Daily Traffic for Tuesday/Wednesday/Thursday - Average Daily Traffic for Friday - Average Daily Traffic for Saturday - Average Daily Traffic for Sunday

Time periods for France are: - Average Annual Daily Traffic (AADT) - Truck ratio - January Monthly Average Daily Traffic (Jan- MADT) - February - Monthly Average Daily Traffic (Feb-MADT) - .... - December - Monthly Average Daily Traffic (Dec-MADT) 

Urban SDK is a GIS data management platform and global provider of mobility, urban characteristics, and alt datasets. Urban SDK Traffic data provides traffic volume, average speed, average travel time and congestion for logistics, transportation planning, traffic monitoring, routing and urban planning. Traffic data is generated from cars, trucks and mobile devices for major road networks in US and Canada.

"With the old data I used, it took me 3-4 weeks to create a presentation. I will be able to do 3-4x the work with your Urban SDK traffic data."

Traffic Volume, Speed and Congestion Data Type Profile:

• Traffic volume in annual average daily and daily traffic volumes per roadway
• Average travel speed in 15 minute and hourly intervals per roadway
• Travel time in seconds in 15 minute intervals per roadway
• Commute travel time in minutes in annual interval estimates in geohash boundaries
• Congested roadway segments based on travel time reliability in monthly intervals per roadway
• Traffic data attributed spatially to state, county, road functional class, road name, road segment, segment length in km or miles as geojson

Industry Solutions include:

• Transportation Planning
• Traffic Monitoring
• Congestion Management and Trend Analysis
• Travel Demand Modeling
• Traffic Impact Analysis
• Parking Analysis
• Transit System Planning
• Route Planning
• Civil Engineering
• Site Selection

Use cases:

• Traffic monitoring, data analysis, and forecasting for transportation, transit, and urban planning.
• Improve dynamic routing with accurate travel time and congestion data
• Environmental and emissions analysis
• Travel demand and transportation modeling
• Location analysis and assessment for commercial site selection for retail or logistics related locations

In the fiscal year 2022, the total volume of construction-related cargo transported on private-use trucks in Japan amounted to roughly 868.45 million tons. The construction sector accounted for the highest volume of freight transported by trucks, followed by the manufacturing industry.

Truck Volume Scanner Market Outlook

The global truck volume scanner market size was valued at USD 600 million in 2023 and is projected to reach approximately USD 1.2 billion by 2032, growing at a CAGR of 7.5% during the forecast period. This substantial growth is driven by an increasing demand for efficient and precise volume measurement technologies across various industries such as mining, construction, and logistics. The expanding use of automated solutions and the growing need for enhanced operational efficiency are pivotal factors propelling the market forward.

One of the primary growth factors in the truck volume scanner market is the integration of advanced technologies, such as 3D laser scanning and automated data collection systems. These technologies provide accurate and real-time measurements, which are crucial for optimizing load management and reducing operational costs. Industries like mining and construction significantly benefit from these advancements as they deal with large volumes of materials that need precise measurement for billing, inventory, and logistics management. As the adoption of such technologies increases, the market is set to experience robust growth.

Another significant factor contributing to market growth is the increasing focus on operational efficiency and cost reduction. Truck volume scanners offer a reliable and efficient means to measure bulk materials, thereby eliminating the need for manual measurements, which can be time-consuming and prone to errors. With the ability to provide quick and accurate measurements, these scanners help companies streamline their operations, reduce labor costs, and improve overall productivity. This trend is particularly evident in the logistics and construction sectors, where precision and speed are paramount.

The growing emphasis on regulatory compliance and safety in industries such as mining and construction is also driving the demand for truck volume scanners. Regulatory bodies across various regions are increasingly enforcing stringent guidelines related to load management and transportation safety. Truck volume scanners, with their ability to provide precise measurements and ensure compliance with regulatory standards, are becoming essential tools for companies to avoid penalties and enhance safety. This regulatory push is further fueling the adoption of volume scanning technologies, contributing to market growth.

Regional outlooks indicate that North America is expected to dominate the truck volume scanner market, owing to the presence of advanced infrastructure and significant investments in technology. However, Asia Pacific is projected to witness the highest growth rate during the forecast period, driven by rapid industrialization, urbanization, and increasing adoption of automation technologies. The mining and construction boom in countries like China and India is creating substantial demand for precise volume measurement solutions, thus propelling the market in the region.

Component Analysis

The truck volume scanner market is segmented into hardware, software, and services. The hardware segment includes the physical components of the scanners such as lasers, sensors, and cameras, which are essential for capturing accurate volume measurements. This segment is expected to hold a significant share of the market due to the high cost and technological advancements in hardware components. Innovations in 3D laser scanning technology and the increasing integration of IoT devices are major drivers for the growth of this segment. Additionally, the durability and reliability of hardware components play a crucial role in ensuring consistent performance in harsh environmental conditions, making them indispensable for various industrial applications.

The software segment encompasses the data processing and analysis tools that interpret the raw data captured by the hardware. This segment is crucial for converting the scanned data into actionable insights, such as volume calculations, load distribution, and material density. The software's ability to integrate with other enterprise systems, such as ERP and CRM, enhances its utility in operational management and decision-making processes. The growing demand for real-time data analytics and reporting is driving the adoption of advanced software solutions, making this segment a critical component of the overall truck volume scanner market.

This data provides core information on truck travel and commodity flows on the provincial highway network and other significant truck corridors. It includes the basic commercial vehicle information data set.

This data is used by MTO's Systems Analysis and Forecasting Office to monitor truck volumes,value of goods and performance on major roadways within Ontario.

*[MTO]: Ministry of Transportation

Number of motor vehicles per 24 hours including trucks and motorcycles (average daily traffic volume DTV), processing status 2019.

In 2024, the sales volume of pick-up trucks in Vietnam amounted to about 23,160 units. In that year, the country's total truck sales reached about 57,000 units.

Annual average daily traffic is the total volume for the year divided by 365 days. The truck count year is from October 1st through September 30th. Very few locations in California are actually counted continuously. Truck Counting is generally performed by electronic counting instruments moved from location throughout the State in a program of continuous traffic count sampling. The resulting counts are adjusted to an estimate of annual average daily traffic by compensating for seasonal influence, weekly variation and other variables which may be present. Annual ADT is necessary for presenting a statewide picture of traffic flow, evaluating traffic trends, computing accident rates. planning and designing highways and other purposes.