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Description
The advent of artificial intelligence empowers us to forecast current traffic situations more swiftly and accurately than traditional methods. AI Traffic harnesses cutting-edge developments in AI, cloud computing, and cluster processing to offer the most precise real-time traffic solutions available. By rapidly analyzing over a decade's worth of extensive data, we can forecast traffic speeds across all types of roads, whether major highways or minor streets. This system provides immediate updates on real-time traffic conditions, identifies speeds in various lanes, and produces unparalleled estimated times of arrival. Additionally, it can offer this comprehensive information for any roadway globally, spanning from highways to local intersections and rural paths to urban neighborhoods. This innovative technology not only assists drivers in reaching their destinations more efficiently and with reduced anxiety, but it also enables businesses to make informed decisions while equipping cities with the insights necessary to enhance public safety and strategically plan for future infrastructure needs. Ultimately, AI Traffic is revolutionizing how we navigate our roads and manage traffic.
Description
Advanced traffic management systems facilitate the assurance of mobility, both presently and in the future, while effectively addressing the challenges posed by increasing traffic volumes and their environmental consequences. By integrating various systems and data sources, it's possible to enhance traffic flow significantly. Implementing these intelligent systems fosters the development of sustainable urban areas and promotes efficient mobility solutions. Moreover, intelligent traffic management contributes to improved traffic conditions not only within cities but also in the surrounding regions, preparing them for the upcoming mobility transformations. In order for urban and regional areas to maintain or restore their attractiveness sustainably, they must confront the issues of traffic and its effects on individuals and the environment. Effective approaches should encompass not only a shift to alternative transportation methods but also the smart management of road traffic. Historical evidence indicates that merely responding to traffic disruptions after they occur is insufficient; instead, proactive planning is crucial for maximizing the traffic network's capacity. This strategic foresight ensures that cities can thrive as they adapt to ever-evolving mobility demands.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
INRIX
Country
United States
Website
inrix.com/products/ai-traffic/
Vendor Details
Company Name
Yunex Traffic
Founded
2021
Country
Germany
Website
www.yunextraffic.com/global/en/portfolio/traffic-management