In the dynamic landscape of urban mobility, real-time monitoring is the cornerstone for effective management and operations. During the 1984 Olympic Games, the Los Angeles Department of Transportation (LADOT) pioneered the approach to an interconnected, dynamic signal system with their development and deployment of the Automated Traffic Surveillance and Control (ATSAC) system. Agencies worldwide have since invested billions of dollars into hardware and facilities, like loop detectors, cameras, and operations centers, to build sophisticated monitoring systems.

These systems can not only be costly to build but place a heavy burden on local budgets with on-going maintenance costs. There is a growing need for additional solutions that can provide timely, accurate, and affordable insights into traffic patterns. Many agencies around the world have begun to leverage virtual infrastructure to augment their approach to mobility management and operations. Additionally, the rise of Generative Artificial Intelligence, and the Large Language Models they are built on, have begun to provide a blueprint for how the transportation industry can leverage large datasets for trained insights. In this blog post, we’ll explore the current state of the industry, introduce INRIX Mission Control™, and discuss our product roadmap, including the incorporation of INRIX Compass™, a Generative-AI model trained on our vast data repository and transportation knowledge.

The need for flexible and scalable real-time traffic monitoring has recently been underscored by a significant incidents on the I-95 freeway in Philadelphia and the I-10 freeway in Los Angeles. In both locations, unexpected fires brought chaos to these major thoroughfares, disrupting the flow of traffic and causing extensive delays while maintenance crews repaired both bridges. In both instances, INRIX real-time monitoring systems swiftly detected the incident, allowing transportation authorities to respond promptly and implement and monitor a myriad of alternative routes, minimizing the impact on commuters and preventing further complications. These real-world examples vividly illustrate the critical role that ubiquitous and instantaneous traffic data plays in managing unforeseen events and optimizing urban mobility.

These incidents resonate with the broader challenges faced by the industry, where growing cities, escalating congestion, and the rapid deployment of new technologies demand innovative solutions. Initiatives like the U.S. Department of Transportation’s (USDOT) grant opportunities for connected vehicle technology and intersection safety demonstrate industry demand for innovative approaches harnessing the power of machine learning. Machine learning has underpinned INRIX’s product suite for nearly two decades.

INRIX Mission Control is built on our 20-year industry knowledge of delivering traffic data. The platform is a next-generation, cloud-based, traffic monitoring application that delivers real-time insights into traffic conditions across all major road types and classes. This solution can help transportation professionals gain unparalleled visibility into what’s happening on every road in real-time, getting a holistic, system-wide view of traffic conditions. As a module within our INRIX IQ Suite, all agencies need is an internet connection and a web browser saving time and money on costly infrastructure and facilities.

Leveraging big data from connected vehicles and devices, Mission Control offers a comprehensive set of features, including congestion monitoring and predictive alerts for the most comprehensive picture of your transportation network. Mission Control helps enhance any agency’s traffic management operations. By providing a cloud-based tool that displays near real-time information for every major road classification, transportation staff can make more informed decisions, ultimately leading to smarter management and more efficient operations.

For the first time, INRIX is exposing the integration of Generative Artificial Intelligence (GAI) into our product offerings. For years, we have been using machine learning algorithms to help model and scale traffic patterns, optimize routes, and provide insights into travel behavior like utilizing virtual infrastructure to develop signal performance measures, scaled traffic volumes, and parking occupancy and availability. In Mission Control, we are offering INRIX Compass, which leverages GenAI powered by large language models (LLMs) to process massive transportation data from our 20 years in the industry. This AI-driven analysis instantly pinpoints traffic issues, correlates diverse data sets to identify root causes, and generates proactive solutions. LLMs form the backbone of Compass and can process natural language input, understand user intent, and provide meaningful responses. In the context of Compass, these models enable it to interpret transportation data, analyze patterns, and make informed recommendations.

INRIX Compass enables Mission Control and transportation agencies to move beyond reactive measures to predictive analytics. By analyzing historical data and identifying patterns, system operators can anticipate traffic congestion before it occurs, allowing transportation departments to implement preventive measures.

The cost-effectiveness of INRIX Mission Control and INRIX Compass makes them the smart choice for agencies. We have spent the past 20 years building machine learning algorithms that convert massive data files into mobility insights. We are able to deliver traffic insights like speed, volume, and travel time at scale at a fraction of the cost of physical infrastructure. While we’ll never replace the real-time accuracy of a camera, we can help fill in the missing areas of your roadway network with just an annual subscription cost. Mission Control offers a solution that not only improves effectiveness but also contributes to fiscal responsibility.

The release of INRIX Mission Control and INRIX Compass into transportation management systems represents a significant leap forward in the quest for efficient, safe, and sustainable urban mobility. As we look to the future, the incorporation of Generative AI solutions like INRIX Compass into additional INRIX products like Signal Analytics, Safety View, and Curb Analytics promises even greater advancements, providing transportation departments with the tools they need to navigate the complexities and evolving nature of modern traffic management.