Commercial Vehicle Data: Best Commercial Vehicle Datasets & Databases
What is Commercial Vehicle Data?
Commercial vehicle data refers to information about motor vehicles that are used to transport goods or passengers. Datarade helps you find commercial vehicle data APIs, datasets, and databases. Learn more
Recommended Commercial Vehicle Data Products
Vehicle Fleet & Brands Data (LATAM) by PREDIK Data-Driven
Bufte.com: Vehicle data — 200 million vehicles
Trip Data / Aggregated data elements of vehicle trip from ignition on to ignition off.
Forever Group: Geotab UK vehicle and driver telematics data
GPS Data (Geolocation) Date and time
Engine Fault Data (Sample of Data Elements)
Congestion Data | Traffic average speed, travel time and congestion data for cars and trucks in USA and Canada
More Commercial Vehicle Data Products
The Ultimate Guide to Commercial Vehicle Data 2023
What is Commercial Vehicle Data?
In the United States, a vehicle is referred to as commercial if it is registered to a company. This broad definition encompasses vehicles that maybe a fleet of vehicles, company cars, or simply cars used for business. Vehicles that have a carrying capacity that exceeds 15 passengers are considered commercial in the United States. Data on commercial vehicles gives insight into the specific types of these vehicles, their registration details, and ownership details, and their specific modes of operation.
How is Commercial Vehicle Data collected?
The collection of commercial vehicle data involves either government agencies or the companies that own the vehicles. For instance, in the US, data about vehicles is collected, compiled, and analyzed by the American Transportation Research Institute. This agency collects information about commercial vehicles on various topics about drivers and motor carriers. The ATRI makes use of logbook data from the participating carriers to evaluate the operational and economic impacts of commercial vehicles. Insights about commercial vehicles are also collected by the companies that own the vehicles. This data collection method is enhanced by the need for the owners of commercial vehicles to collect information on their drivers for bookkeeping and management of operations.
What are the attributes of Commercial Vehicle Data?
The attributes of commercial vehicle data are wide-ranging. These attributes include information about the registration and ownership of commercial vehicles, the insurance details, and mileage, GPS data that track down the movement of these vehicles, especially for freight vehicles, and travel plans and schedules for commercial passenger vehicles. Commercial vehicle data may also indicate the accident details for revamped vehicles. For freight commercial vehicles, data on weight in motion (WIM) can also be generated. The purchasing data and trends for commercial vehicles are another critical attribute that can be found in commercial vehicle data. This attribute is important in helping car dealers plan their acquisition of new models as driven by the factors of demand and supply.
What are the uses of Commercial Vehicle Data?
Commercial vehicle data is important because the analysis of commercial vehicle routes and the trip that users pull from this car dataa can reveal information about urban commercial vehicle tours, travel patterns, and the level of congestion. By understanding the freight vehicle kilometers traveled by commercial vehicles, interested business owners in urban areas can assess the trends in consumer purchasing patterns that range from home deliveries, and industry logistics such as just-in-time deliveries. Furthermore, commercial vehicle data can be used by insurance companies to understand the operations of a given vehicle and use it to draft insurance data that may prove crucial in the event of an accident. The weight in motion (WIM) information that can be pulled from this data can also find a use for pavement management purposes in the estimation of the distribution of payloads. The payload is an important measure to assess the efficiency of urban freight systems.
How can a user assess the quality of Commercial Vehicle Data?
The quality of commercial vehicle data is grounded on the ability of the data to highlight the aspects of accuracy, the level of completion, and validity. Accuracy is a quality facet that takes into account the level of precision for which a commercial vehicle is identified. Information about the registration details and the insurance details for a specific vehicle cannot be wrong since the unique identity of vehicles makes it easier to track them down. As such, how best the data tallies with the actual information is a quality factor that users ought to carry with a lot of weight and one of the ways to do this is to evaluate the source of this data.
Where can I buy Commercial Vehicle Data?
Data providers and vendors listed on Datarade sell Commercial Vehicle Data products and samples. Popular Commercial Vehicle Data products and datasets available on our platform are Vehicle Fleet & Brands Data (LATAM) by PREDIK Data-Driven by Predik Data-driven, Bufte.com: Vehicle data — 200 million vehicles by Bufte, and Trip Data / Aggregated data elements of vehicle trip from ignition on to ignition off. by Nextraq.
How can I get Commercial Vehicle Data?
You can get Commercial Vehicle Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Commercial Vehicle Data is usually available to download in bulk and delivered using an S3 bucket. On the other hand, if your use case is time-critical, you can buy real-time Commercial Vehicle Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Commercial Vehicle Data?
Commercial Vehicle Data is similar to Vehicle Location Data, Car Data, VIN Data, License Plate Data, and Electric Vehicle (EV) Data. These data categories are commonly used for Traffic Analysis and Tire Condition Analysis.
What are the most common use cases for Commercial Vehicle Data?
The top use cases for Commercial Vehicle Data are Traffic Analysis, Tire Condition Analysis, and Urban Planning.