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What is Trafficware TidalWave?

Trafficware introduces an advanced live streaming platform combined with a predictive learning system that allows for the rapid sharing of current data with external users. TidalWave underpins the evolution of Smart City initiatives, guaranteeing that subscribers receive reliable and accurate information. By leveraging machine learning and edge computing, TidalWave leads the charge in revolutionizing the Intelligent Transportation Systems (ITS) sector, improving bandwidth and minimizing response times for fast, precise near real-time data delivery. To ensure optimal performance and reduce latency, TidalWave utilizes data compression methods that lighten the data load. Through analysis conducted at various locations, whether via central Advanced Traffic Management Systems (ATMS) or local controllers, this approach facilitates significant savings on infrastructure costs. Users benefit from immediate access to high-resolution data, enabling them to implement the most efficient vehicle routing with the help of predictive learning strategies. Moreover, the service provides traffic data streaming in near real-time while preserving city infrastructure integrity and is fully adaptable to third-party applications, thus presenting a flexible solution to contemporary urban dilemmas. This pioneering strategy not only improves traffic oversight but also establishes a foundation for more intelligent and efficient urban living experiences, ultimately contributing to the evolution of cities into smarter environments.

What is ConnexinOS?

Collecting data from multiple devices, networks, and servers can be complex and may lead to considerable expenses. ConnexinOS provides a powerful and scalable IoT platform designed to simplify data aggregation and integration. It effectively merges various datasets into a single cohesive view, which aids in the management of urban environments and communities. This platform allows for the seamless collection of data from any device or network, ensuring efficient communication among different data sources. By unifying diverse information into one system, it generates actionable insights rooted in standardized procedures while utilizing cutting-edge AI and machine learning technologies. The process of onboarding and managing devices is user-friendly, granting individuals extensive control and options for self-service. Furthermore, it supports real-time monitoring and notifications triggered by specific events and established guidelines. The platform also harmonizes data from different sources, enabling them to function together effectively. With comprehensive user role-based access controls in place, security is prioritized to safeguard sensitive information. In essence, this fosters an environment conducive to enhanced data management, ultimately allowing cities to flourish. This innovative approach encourages collaboration and efficiency among urban stakeholders, paving the way for smarter city solutions.

Media

Media

Integrations Supported

Sigfox

Integrations Supported

Sigfox

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

Cubic | Trafficware

Date Founded

1978

Company Location

United States

Company Website

www.trafficware.com/tidalwave.html

Company Facts

Organization Name

Connexin

Date Founded

2006

Company Location

United Kingdom

Company Website

www.connexin.co.uk/connexin-os-iot-platform/

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

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