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Ratings and Reviews 0 Ratings
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What is Yunex Traffic?
Sophisticated traffic management systems play a crucial role in ensuring mobility, both in the present and future, while tackling the challenges brought about by escalating traffic volumes and their environmental impacts. By combining multiple systems and data sources, significant enhancements in traffic flow can be achieved. The deployment of these intelligent systems not only supports the creation of sustainable urban environments but also advances efficient mobility solutions. Additionally, smart traffic management improves conditions not only within urban centers but also in adjacent areas, thereby equipping them for impending changes in mobility. For urban and regional territories to sustainably retain or enhance their appeal, they must actively address the challenges of traffic and its ramifications on people and the ecosystem. Effective strategies should include not just a transition to alternative transportation options but also the intelligent management of roadway traffic. Historical trends indicate that waiting to address traffic disruptions reactively is inadequate; rather, anticipatory planning is essential for optimizing the capacity of traffic networks. This forward-thinking approach is vital for ensuring that cities can successfully adapt to the continuously changing demands of mobility, paving the way for innovative solutions that can lead to a more efficient transportation future. As cities evolve, the integration of advanced technologies will be critical in shaping the landscape of urban mobility.
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.
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
Yunex Traffic
Date Founded
2021
Company Location
Germany
Company Website
www.yunextraffic.com/global/en/portfolio/traffic-management
Company Facts
Organization Name
NoTraffic
Date Founded
2017
Company Location
United States
Company Website
notraffic.tech
Categories and Features
Categories and Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
