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Traffic Dataset

Best Traffic Datasets for Urban Planning Strategy

Traffic datasets refer to collections of data that provide insights into various aspects of traffic patterns and behavior. These datasets typically include information such as traffic volume, speed, congestion levels, and road conditions, among others. They are derived from a variety of sources, including traffic sensors, GPS data, and mobile applications. Traffic datasets are valuable for a wide range of applications, including urban planning, transportation management, and route optimization. By analyzing these datasets, businesses and organizations can gain valuable insights to improve traffic flow, reduce congestion, and enhance overall transportation efficiency.

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Recommended Traffic Dataset

1-10 of 100 product results for "traffic dataset"
5.0(1)

Unacast Foot Traffic Data | Global
by Gravy Analytics by Unacast
Unacast Foot Traffic Data enables users to compare foot traffic trends for different areas of interest ... Organizations use Unacast Foot Traffic Data for: -Foot traffic and footfall analysis -Competitive
50B global signals per day
3 years of historical data
100% deterministic data
Starts at
$1 / API call
Free sample preview
5.0(3)

Real-Time Foot Traffic Data | Aggregated Foot Traffic Data | Location & Mobility Data | Global | 600+ Customers
by Huq Industries
With access to aggregated foot traffic data, mobility data, real-time foot traffic data, and detailed ... information critical for in-depth analysis of foot traffic data.
1.13M H3 Hexbins @ Level 12 (19m)
5 years of historical data
85% 0.85 corr. with Walmart sales data
Available Pricing:
One-off purchase
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Annotated Indian Traffic Dataset
by Ainnotate
performing AI solution that can handle this challenge requires access to large amount of annotated data ... light, Traffic signs, People, Dog, Cow, Barricade
150K images
1 years of historical data
Starts at
$9,000$8,100 / purchase
10% Datarade discount

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Categories related to traffic dataset

Geospatial DataAutomotive DataFoot Traffic DataAI Training DataMobility DataLocation DataTraffic DataMobile Location Data

Use cases related to traffic dataset

Urban Mobility AnalysisTransportation PlanningUrban PlanningRetail Site SelectionLocation IntelligencePredictive ModelingFoot Traffic AnalyticsData Science

What is a traffic dataset?

A traffic dataset refers to a collection of data that provides insights into various aspects of traffic patterns and behavior. It includes information such as traffic volume, speed, congestion levels, and road conditions, among others.

What are the sources of traffic datasets?

Traffic datasets are derived from a variety of sources, including traffic sensors, GPS data, and mobile applications. These sources collect data from vehicles, pedestrians, and other sources to provide a comprehensive view of traffic patterns.

How are traffic datasets used?

Traffic datasets are used for a wide range of applications, including urban planning, transportation management, and route optimization. By analyzing these datasets, businesses and organizations can gain valuable insights to improve traffic flow, reduce congestion, and enhance overall transportation efficiency.

What insights can be gained from traffic datasets?

Traffic datasets provide insights into various aspects of traffic behavior, such as peak traffic hours, congestion hotspots, average travel times, and road conditions. These insights can help identify areas for improvement, optimize transportation routes, and make informed decisions for urban planning.

How can businesses benefit from traffic datasets?

Businesses can benefit from traffic datasets by using the insights gained to optimize their delivery routes, plan efficient transportation logistics, and identify potential areas for expansion. By understanding traffic patterns, businesses can improve their operations and enhance customer satisfaction.

Are traffic datasets publicly available?

Yes, many traffic datasets are publicly available. Government agencies, research institutions, and transportation organizations often make traffic data accessible to the public for research and analysis purposes. However, the availability and level of detail may vary depending on the region and the specific dataset.