Traffigram utilizes cognitive psychology and data visualization techniques to create maps that represent urban travel in terms of time rather than distance. This approach enables users to make quicker and more informed travel decisions by reducing cognitive load and enhancing spatial accessibility.
Funding
$10K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional maps represent urban travel in terms of distance, which can be misleading and increase cognitive load when making travel decisions, especially in congested urban environments. This can lead to suboptimal route choices and inefficient travel planning.
Solution
Traffigram visualizes urban travel using time as the primary metric, creating maps that represent spatial accessibility in a more intuitive way. By leveraging cognitive psychology and data visualization techniques, Traffigram reduces the cognitive effort required to understand travel options. The platform enables users to quickly assess the time cost of different routes and modes of transportation, leading to faster and more informed travel decisions. Traffigram aims to change how people perceive and navigate urban environments by emphasizing time efficiency.
Target Audience
Traffigram targets urban commuters, city planners, and logistics companies seeking to optimize travel routes and improve spatial understanding of urban areas.
Features
- Time-based isochrone maps that display areas reachable within a specific time frame.
- Integration of real-time traffic data to dynamically adjust travel time estimates.
- Customizable visualization parameters to highlight specific areas or modes of transport.
- User-friendly interface designed to minimize cognitive load and maximize information absorption.