- Overview
- Datasets
- Providers
- Attributes
- FAQ
- Overview
- Datasets
- Providers
- Attributes
- FAQ
What is Trip Data?
Trip data refers to information collected during a journey, typically recorded by transportation services or travel platforms. It includes details such as the starting point, destination, distance traveled, duration, mode of transportation, and sometimes additional data like fare or route information. Trip data is valuable for analyzing travel patterns, optimizing transportation systems, improving user experiences, and providing insights for urban planning and mobility solutions.
Examples of trip data include information about the starting point, destination, distance traveled, duration, mode of transportation, and timestamps of individual trips. Trip data is used for various purposes such as transportation planning, traffic analysis, route optimization, and understanding travel patterns. In this page, you’ll find the best data sources for trip data.
Best Trip Databases & Datasets
Here is our curated selection of top Trip Data sources. We focus on key factors such as data reliability, accuracy, and flexibility to meet diverse use-case requirements. These datasets are provided by trusted providers known for delivering high-quality, up-to-date information.
Trip Data / Aggregated data elements of vehicle trip from ignition on to ignition off.
Grepsr| Trip Advisor Property Address and Reviews | Global Coverage with Custom and On-demand Datasets
Trips Data | Trips volume, visits, commuting pattern and origin destination data for USA and Canada
PREDIK Data-Driven Trucking Data, Location Data & Commercial Vehicle Data: Custom Datasets for Truck Trips & Stops (Available for USA)
Driver Technologies | Bicycle Computer Vision Data | North America and UK | Real-time and historical traffic information
Mobility data | Multimodal Transport Model | travel demand data | Global coverage
Driver Technologies | Bus Traffic Video Data | North America and UK | Real-time and historical traffic information
Trap Dataset for AI-Generated Music (Machine Learning (ML) Data)
Elisium Italy | Location data | 1M+ users location records | AI training, Marketing
1650 Zero Waste Stores in 9 European Cities
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Top Trip Data Providers & Companies
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Nextraq
CoverageUSACanadaNexTraq®—a MICHELIN™ group company—is a trusted partner for fleet management services, simplifying fleet management while improving driver safety, reducing costs, streamlining compliance, and boosting efficiency and productivity. Decades of experience: NexTraq has supported fleet management services for more than 20 years. During these past two decades, we have tracked more than 1.2 million vehicles, and currently track 120,000 vehicles daily. Wide geographical influence: NexTraq offers strong geographical coverage throughout Canada and the United States. -
Grepsr
CoverageUSAUK+247VUtilizing Grepsr's data solutions, we employed their capabilities to efficiently retrieve a substantial volume of job posting information. The acquired dataset played a pivotal role in supporting our strategic marketing initiatives, demonstrating the versatility and effectiveness of Grepsr's data services in enhancing our business intelligence and outreach endeavors.
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Predik Data-driven
CoverageUSAUK+247VWe wanted to analyse the foot traffic data across Sydney. Predik provided quality traffic density heatmap and raw foot traffic data across Sydney Australia to support us with the use case. Highly recommended.
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Geojunxion
CoverageUSAUK+247Building on decades of global map making, we focus our expertise towards creating premium location data and services for authorities, corporates and global tech companies. -
Zeliot Connected Services
ZELIOT is a new age company consisting a group of young and zealous individuals with a passion to innovate and build awesome products. Our connected mobility platform currently hosts solutions for fleet management, schools and we are a technology service provider to major automotive OEMs.99%uptime100%real time data
Main Attributes of Trip Data
Below, we outline the most popular attributes associated with this type of data—features that data buyers are actively seeking to meet their needs.
| Attribute | Type | Description | Action |
|---|---|---|---|
| Float | The latitude of a point on earth's surface. Commonly abbreviated as "lat". | View 24 datasets | |
| String | The internet protocol (IP) address of an endpoint. | View 6 datasets | |
| String | The address of a company or contact (street name, number, zip code, city, county, country). | View 2 datasets | |
| String | The name of a city. | View 2 datasets | |
| String | The rating of a product. | View 2 datasets | |
| String | The name of a brand. | View 1 datasets |
Frequently Asked Questions
What is Trip Data?
Trip data refers to information that is collected about individual travel patterns, including the time, location, and mode of transportation used. This data can be collected through a variety of sources, including mobile apps, GPS devices, and vehicle sensors.
How is Trip Data collected?
Trip data is typically collected through mobile apps, GPS devices, and other sensors that are embedded in vehicles and transportation infrastructure. This data can be analyzed to gain insights into travel patterns and consumer behavior.
What is Trip Data used for?
Trip data is used by businesses and organizations across various industries to gain insights into consumer behavior and travel patterns. This includes transportation planning, marketing, urban planning, logistics, research, and public safety.
What’s a quality checklist for Trip Data?
A quality checklist for trip data should include factors such as data accuracy, completeness, reliability, and privacy. It is important to ensure that the data is collected from a representative sample, is updated regularly, and is free from biases and errors.
How is Trip Data priced?
The pricing of trip data depends on various factors, including the data provider, the volume of data requested, and the complexity of the data. Some providers may charge a flat fee for access to their data, while others may charge based on usage or offer a subscription-based model. It is important to research and compare pricing options to ensure that the data is affordable and meets the specific needs of the business or organization.
