GoodVision is an AI-powered tool designed for traffic modellers and surveyors in smart cities. It offers automation tools for various stages of traffic projects, including AI traffic data collection, traffic modelling, and real-time traffic control. Users can conveniently collect traffic data for surveys, benefit from automated traffic model calibration, and receive detailed traffic events for traffic control systems in real-time. GoodVision leverages AI and big data analytics to provide adaptive traffic control and urban planning solutions, helping address urban traffic congestion and its associated issues.
GoodVision was launched on November 1, 2020. The company was founded by a team based in London since 2018, with its main technology center located in Prague, Czech Republic. GoodVision is an AI-powered tool dedicated to traffic modellers and surveyors, providing automation tools for traffic data collection, modelling, and real-time control. The platform leverages AI and big data analytics to offer adaptive traffic control and urban planning solutions, aimed at improving urban mobility, road safety, reducing congestion, and lowering CO2 emissions in cities.
To use GoodVision, follow these steps:
Traffic Data Collection: Utilize GoodVision's automation tools to collect traffic data efficiently using cameras and drones for your traffic surveys.
Traffic Data Analytics: Automate the calibration of your traffic models with GoodVision, saving time on manual labor and enhancing the accuracy of your traffic modeling.
Real-time Traffic Monitoring: Access detailed and accurate traffic events for traffic control systems, facilitating real-time traffic control and decision-making.
AI and Big Data Analytics: Benefit from GoodVision's AI and big data analytics capabilities, allowing for adaptive traffic control and urban planning, leading to more accurate traffic insights.
Smarter Cities: GoodVision's innovative solutions aid in managing traffic congestion, addressing issues like air pollution, accidents, and economic losses by providing smart urban planning solutions.
Testimonials and Trust: Clients have praised GoodVision for its professionalism, value addition through image recognition technology, innovation capacity, and successful project collaborations.
Product Offerings: Explore GoodVision's products such as GoodVision Video Insights and GoodVision LiveTraffic, along with additional resources like blogs, case studies, and a help portal.
Newsletter Subscription: Stay updated on the latest developments by subscribing to GoodVision's newsletter, and access privacy policies and terms of service on their website.
By following these steps, you can effectively utilize GoodVision for traffic data collection, modeling, and real-time control, contributing to smarter urban planning and traffic management.
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I love the real-time traffic data collection feature. It allows us to monitor traffic conditions as they happen, which is invaluable for making immediate adjustments to control systems.
The interface can be a bit overwhelming at first, but after some training, it becomes manageable.
GoodVision helps us reduce congestion by providing accurate traffic modeling and automated control, which ultimately leads to smoother traffic flow and less frustration for commuters.
The automated model calibration saves us a lot of time and effort, which allows our team to focus on analyzing data rather than just collecting it.
Sometimes the system takes a while to process large datasets, but this is a minor issue compared to its capabilities.
It allows us to tackle urban traffic issues more effectively, improving the overall quality of life in our city by minimizing delays and optimizing traffic light patterns.
The AI-driven insights are game-changing. They provide predictive analytics that help us anticipate traffic patterns before they become problematic.
The initial setup required some technical expertise, but the support team was very helpful.
GoodVision helps us to enhance urban mobility by providing data that informs better infrastructure planning, ultimately leading to reduced travel times.