Smart Transportation and Mobility: How AI is Driving the Future of Mobility

Artificial Intelligence (AI) is becoming a pivotal force in the digital transformation era — revolutionizing the transportation and mobility sectors. AI’s ability to analyze vast amounts of data in real time, learn from it, and make autonomous decisions is unlocking new opportunities to enhance efficiency, safety, and sustainability. As a result, AI is becoming a vital tool for addressing both current and future issues.

Imagine a high-speed train conductor receiving real-time alerts from an intelligent voice assistant about potential hazards, such as obstacles on the tracks, adverse weather conditions, or anomalies in the train’s systems. The conductor and the machine can communicate as if they were two people, allowing the conductor to stay fully focused on driving without any distractions.

Now consider a major highway: a network of smart sensors along the route can detect signs of deterioration or malfunctions, enabling timely interventions from a central control center to prevent risks and ensure safety for travelers.

Even if it seems futuristic, it’s a reality now.

The are several applications of AI in the transportation sector, all of which bring about a diverse set of benefits.

Almawave has been offering dedicated solutions in this field for quite some time. Over the years, our experts have implemented solutions for key national clients that have been able to:

• Automate the collection of information during inspection and maintenance reporting processes using voice command and control services.
• Conduct predictive analyses of events, failures, and infrastructure anomalies.
• Provide mobile users with new automated channels, available 24/7, for assistance with real-time information on transport arrival times, restricted traffic zones, access permits, and charging networks.
• Automatically generate tender documents using Large Language Model capabilities

This sector is a natural fit for Almawave’s established success in public administration, tourism, and smart cities.

The recent agreement between the company and Ditectfer exemplifies the countless applications and benefits that artificial intelligence can bring to the transportation sector, improving both efficiency and support for industry professionals.

To understand these use cases more clearly, let’s examine a few of the solutions provided by Almawave.

As previously mentioned, AI is transforming the transportation and mobility sectors, driving them increasingly towards a customer-centric approach.

Almawave’s solutions enable conversational agents, or Virtual Mobility Assistants, to provide real-time information and manage user requests across multiple channels and languages.

These solutions leverage AI algorithms, including generative models, applied to Natural Language Processing to create “human-like” conversations, simplifying user interactions. This results in a personalized, automated service that delivers responses tailored to the user’s profile and needs, and seamlessly integrates with related systems or other data sources when necessary.

With Virtual Mobility Assistants, users can manage subscriptions, plan their journeys, check arrival times at stops, and receive real-time alerts about delays or disruptions. This offers several advantages, including faster response times, an improved travel experience, complete accessibility, and ease of use.

In the transportation sector, innovative AI-based solutions are crucial for ensuring proper maintenance processes and the continuous operation of infrastructure and vehicles.

To simplify these tasks, Almawave has developed Field Vocal Services (which offer voice command and control capabilities for field operations).

With this solution, field operators can issue very specific voice commands without interrupting their work. They can execute actions on client systems, request support for troubleshooting or procedure execution, complete forms, and obtain real-time information, all through voice interactions.

The solution features AI models pre-trained in specific technical areas and leverages generative AI to quickly and intuitively access key information within operational procedures, technical manuals, and maintenance data. This includes automatically generating concise, relevant, and verified responses using Retrieval-Augmented Generation (RAG).

The benefits are numerous: enhanced efficiency, increased safety, real-time information updates, and improved quality and standardization of collected data.

“The traditional approach to documenting transportation maintenance tasks typically requires filling out complex forms with numerous fields, which can be both time-consuming and error-prone,” explains Antonio Pipelnino, Head of Sales Transportation at Almawave.

“That’s why we’ve created a solution that enables operators to simply speak the details of their intervention. This method is natural, quick, and secure. The AI extracts the relevant data from the spoken input, automatically completes the form for the operator, and offers guidance on the ongoing task.”

In the increasingly complex landscape of control centers and asset management, technological complexity can be a barrier to operational efficiency.

In this context, the Natural-Language Query solution for control rooms supports operators by simplifying the process of searching for and retrieving information from complex data sources. This enhances productivity and reduces the risk of human error.

Powered by our proprietary “Generative Composite AI” technology, this solution allows operators to interact with control room systems using natural language, just as they would with a human colleague. There is no need for technical commands or in-depth technical knowledge.

The benefits are significant: interactions are simplified, information analysis is faster and more accurate, errors are minimized, and overall operational efficiency is improved.

The agreement signed in July 2024 between Almawave and Ditecfer, the district for Railway Technologies, High-Speed Rail, and Network Safety, which now includes over fifty Italian companies and research organizations, is a prime example of how AI can drive innovation and modernization in the railway sector.

This is, in fact, the first instance of a railway district in Europe entering into such an operational agreement focused on AI.

Specifically, the partnership between Almawave and Ditecfer focuses on developing innovative use cases aimed at transforming the railway sector with artificial intelligence. The goal is to introduce new levels of effectiveness, efficiency, safety, and process quality.

The areas covered by the agreement include AI tools for rapid access to operational information, hands-free data collection services, interactive training tools, classification algorithms for quality monitoring, and multilingual support for regulatory analysis.

All solutions will comply with European and national regulations and are designed to make the railway sector more competitive and cutting-edge on an international scale.

Learn More About AI Applications in the Transportation Sector.