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What is NoTraffic?

NoTraffic has launched a groundbreaking AI-powered traffic signal system that connects road users with urban infrastructure, effectively tackling existing traffic challenges while promoting smart mobility benefits for cities and encouraging a transformative lifestyle. This advanced platform converts traditional traffic signals into intelligent systems that thoroughly assess traffic conditions and respond immediately to various road users, including bicycles, cars, buses, pedestrians, and emergency vehicles. Local governments can access a cloud-based dashboard to set guidelines such as prioritizing public transport routes or enhancing safety protocols for cyclists and pedestrians. The AI technology skillfully enforces these guidelines at each traffic signal, overseeing intersections in real-time and autonomously managing the entire city's traffic network based on actual demand, thus providing customized services for each user category to reduce congestion, cut emissions, and decrease accident rates. This innovative strategy not only streamlines everyday travel but also lays the groundwork for a more intelligent and sustainable urban landscape. Additionally, the implementation of such a system promotes greater collaboration among city planners, technology developers, and the community, ensuring a holistic approach to urban mobility.

What is Kinetic Signals?

Kineticâ„¢ Signals marks a substantial upgrade to Q-Free's esteemed MAXVIEW advanced traffic management system (ATMS). This cutting-edge platform facilitates the real-time oversight and regulation of traffic signals along with operations of intelligent transportation systems (ITS). Its intuitive interface allows beginners to quickly gain expertise, while experienced users can easily access advanced features without hassle. The system boasts adaptable mapping functionalities, making it suitable for a variety of applications, including adaptive signal control and connectivity for vehicles, which ultimately enhances operational efficiency and saves precious time. Emphasizing Q-Free's dedication to open data and collaborative methodologies, Kinetic Signals adheres to NTCIP protocols seamlessly. By supporting the integration of any NTCIP-compliant controller, it streamlines the management of both older and modern central systems throughout the integration phase. Additionally, Q-Free incorporates its data prism API as a standard feature, further augmenting the system's capabilities and flexibility. This holistic strategy not only empowers users to optimize their traffic management approaches but also encourages continual innovation within the field. Ultimately, Kinetic Signals positions itself as a vital tool for enhancing urban mobility and transportation efficiency.

Media

Media

Integrations Supported

Additional information not provided

Integrations Supported

Additional information not provided

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

NoTraffic

Date Founded

2017

Company Location

United States

Company Website

notraffic.tech

Company Facts

Organization Name

Q-Free ASA

Date Founded

1984

Company Location

Norway

Company Website

www.q-free.com/product/kinetic-signals/

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Categories and Features

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