Road Data: Best Road Datasets & Databases
What is Road Data?
Road data is a type of logistics and transport data that provides information on major routes in a geographical location. It's used to measure road safety and traffic volume to reduce congestion and improve infrastructure. Datarade helps you find the best road datasets and APIs.Learn more
Recommended Road Data Products
Road closure and traffic incidents warning data for Indian cities and highways | Regularly reported | With images
Road Networks - India - India Road Network, State Highway, National Highways, Route Numbers on Roads, Rail Coverage Network
PredictHQ's Intelligent Event Data Sample | Live TV Event Broadcasts | California | July 2021
Transports & Logistics: POI and Transaction Data in US
Distance matrix API | Supports 10,000x10,000 points | Routing based on vehicle type and road conditions
Road Closures and Incidents warnings - India
TVEyes API Broadcast Feed To Access TV, Radio & Podcast Data
Traffic Data | Traffic volume, speed and congestion data for cars and trucks in USA and Canada
Geojunxion Eco Alert Zones - Low emission zones / smart geofences with daily updated worldwide automotive data. Clean air zones, ZTL, etc.
Charging Stations Opportunity Map - Insight into (potential) need for charging stations
More Road Data Products
The Ultimate Guide to Road Data 2023
What is Road Data?
Road data is a sub-category of transportation and logistics data. It involves intelligence and analytics on roads, supply chains that run through them, traffic information on these roads, and other transport-related information. Manufacturers, logistics companies and transport companies use this data in understanding how roads work and utilise this information for smoother operations. Road data improves supply chains, and helps in logistic management. The information in road data is essential for efficient operations across a range of industries.
How is Road Data collected?
Road data is collected through a variety of means, methods and techniques. Transport routes have data that is collated and collected with the aid of location data. This type of information helps make the movement of goods and people by roads super efficient, as well as help reduce the occurrence of events like congested roads. Getting commuters from one point to another on a day-to-day basis may seem trivial, but it can become a hassle for local authorites if proper measures are not taken into place. It also poses huge environmental risks due to increase CO2 emissions. Road data helps eliminate congesion, or at least manage it. Road data may also be collected from road users themselves. There may also be records detailing data collected by federal road safety commissions and traffic management systems as well.
What are the attributes of Road Data?
Road data attributes can vary depending on the context for which the datasets are required. However, the most common attributes consist of the following. Road data should provide information about the best road routes that goods may take from producer/supplier to consumer, as well as any shortcuts, alternative routes, possible stops or traffic conditions. Road data should also include information on logistics that informs decisions to make transportation efficient and effective. For businesses, road data should contain details on pickups and dropoff points. For regular transportation involving public transport, road data should provide information on how to optimize routes and well as road conditions.
What is Road Data used for?
Road data is used by businesses, companies and individuals. Business and corporate entities may use road data to ensure the smooth running of their operations. For delivery companies, time spent on the road can be planned in detail so that there is very little time wasted in transit, so that customers can get their orders on time, where and when they need them. Road data is also used in cost assessments. These are instances where problem areas may pose serious cost disadvantages to businesses and companies. The information provided by road data helps to ensure that costs can be greatly cut, and any disadvantages are reduced. Road data can also help manage congestion on busy routes.
How can a user assess the quality of Road Data?
The best road data will provide intelligence that is in real time and that is also accurate. this information is crucial for cases of route planning, and in solving problems relating to general transportation or movement. Making informed decisions requires accurate information. As is the case with other datasets, the best verification often comes from previous buyers of such information and the reviews they have about their purchases and the vendor providing the data. Testing data samples is also an efficient means of data quality assessment. Historical road data can also be used to act as a counterbalance to cross-check the current data.
Where can I buy Road Data?
Data providers and vendors listed on Datarade sell Road Data products and samples. Popular Road Data products and datasets available on our platform are Road closure and traffic incidents warning data for Indian cities and highways | Regularly reported | With images by Intents Mobi, Road Networks - India - India Road Network, State Highway, National Highways, Route Numbers on Roads, Rail Coverage Network by Lepton Software, and PredictHQ’s Intelligent Event Data Sample | Live TV Event Broadcasts | California | July 2021 by PredictHQ.
How can I get Road Data?
You can get Road Data via a range of delivery methods - the right one for you depends on your use case. For example, historical Road 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 Road Data APIs, feeds and streams to download the most up-to-date intelligence.
What are similar data types to Road Data?
Road Data is similar to Traffic Data, Aviation Data, Freight Data, Trade Data, and Maritime Data. These data categories are commonly used for Urban Mobility Analysis and Traffic Analysis.
What are the most common use cases for Road Data?
The top use cases for Road Data are Urban Mobility Analysis, Traffic Analysis, and Urban Planning.