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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 AT&T Smart Cities?

Promoting progress in key sectors such as transportation, lighting, parking, security, environmental sustainability, and infrastructure is of utmost importance. Utilizing innovations from the Internet of Things (IoT) enables cities to markedly improve service delivery and elevate the quality of life for their inhabitants. The integration of data analytics within smart city technologies is essential for guiding urban planning and future growth initiatives. By strategically incorporating technology, cities can effectively reduce energy usage, waste, and expenditures while advocating for sustainable practices. This comprehensive strategy not only leads to decreased energy consumption throughout the entire asset portfolio but also enhances operational adaptability through the use of near-real-time IoT data. Big data analytics can yield valuable insights that inform decision-making processes, while consistent maintenance of buildings and facilities can be accomplished through efficient scheduling practices. Moreover, switching to LED lighting presents a viable solution for significantly diminishing energy usage and lowering CO2 emissions. Additionally, a centralized management system that leverages near-real-time data across various facilities can optimize operations. Ultimately, a robust and adaptable program gives building operators the tools necessary to proactively monitor and enhance efficiency, thereby promoting long-term sustainability and effective operations. By focusing on these strategies, cities can not only advance towards a smarter future but also foster a more sustainable environment for generations to come.

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

Cubic | Trafficware

Date Founded

1978

Company Location

United States

Company Website

www.trafficware.com/tidalwave.html

Company Facts

Organization Name

AT&T Business

Date Founded

1983

Company Location

United States

Company Website

www.business.att.com/categories/smart-cities.html

Categories and Features

Categories and Features

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