Advanced traffic simulations for Autocomp Management

We helped Autocomp Management create realistic and flexible road traffic simulation systems with two robust, custom-built solutions.

About the client

Autocomp Management is an international producer of hardware and software solutions for the defence, uniformed services, and transportation industries. Backed by a proprietary R&D center and global strategic partners, the company designs, develops, and patents advanced automation software, training simulators, and wireless control systems.

Opportunity

Advanced training simulators for civil and defense use

To address the market demand for more advanced interactive training systems, Autocomp Management set out to develop highly realistic simulation environments for both civil and defense applications.

Their goal was to recreate virtual replicas of real-world locations, vehicles, and infrastructure. The systems needed to support safe, repeatable training scenarios with custom conditions and unusual events. In addition, the company aimed to improve the flexibility of their systems through highly scalable and easily adaptable technologies.

Challenge

Simulation systems are typically time-consuming and costly to create

Advanced simulations require replicating thousands of kilometers of real terrain and road networks, including traffic signals and signs, intersections, and autonomous objects such as vehicles and pedrestians. The key challenge was to build a pair of tools that could process and virtualize this vast amount of data while also optimizing development time and costs.

Solution

Generating a simulated 3D world through geographic data and other input sources

Tieto Tech Consulting developed two custom solutions tailored for Autocomp Management:

Map Editor - a tool designed for importing geospatial data from both local and online sources, as well as visualizing, editing, and exporting it into different formats. Our team developed OSM, NMEA, and WMS data importers for the editor, plus a neural network-based image matching algorithm for GPS and video datasets, allowing extraction of sign and semaphore information.

Traffic Simulator - a solution that extends autonomous traffic simulations by adding new entities to them, such as pedestrians, trams, and emergency vehicles, along with their specific behavior. The simulator was optimized for the Unity visualization engine, with a custom GUI enabling real-time traffic configuration, testing, and debugging. This allowed us to configure behavioral aspects of autonomous objects, such as the amount of vehicle congestion, while also creating triggers to generate traffic events.

The project was divided into key modules, including:

Configuration of vehicles
Generation of autonomous traffic
Development of typical and atypical road events with emergency vehicles
Integration with input/output devices, such as control panels
Creation of realistic user interfaces, including quick access functions and real-time parameters
Modules to support the flexibility and scalability of the simulation systems

Impact

Strengthening Autocomp Management's position as a market-leader

The solutions provided a range of tangible benefits:

Enhanced value proposition with modern tools, allowing realistic simulation environments for growing customer demands
Better precision of simulations, which lowers risks during civil or defese training, providing a competitive edge
Optimized performance and better stability of simulation systems due to automated error detection and reporting
Modular, scalable architecture for seamless integrations with other products and modules
Reduced development costs with rigorous, multi-stage software testing and a scalable team of engineers

Growth

A partnership built on mutual trust, transparency, and commitment

Autocomp Management continues to cooperate with Tieto Tech Consulting. Together, we work on advanced simulations that have a profound impact on the efficiency of civil and defense training both in Poland and abroad.

Currently, we are collaborating on new functions for the simulation systems, including more sophisticated scenarios with automated response to the user’s decisions (changes in the environment, weather, and other factors).

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