Digital Twin Created for Maksimikha Special Economic Zone
The Maksimikha Special Economic Zone (SEZ) in Domodedovo has developed a digital model of logistics flows and transportation hubs. The project was implemented jointly with SIMETRA and is designed to support proactive planning for the site's development as a modern industrial and logistics territory.
SIMETRA engineers analyzed the current transportation situation within the Maksimikha SEZ, created simulation models - digital twins - of five key transportation hubs, and forecast traffic patterns several years into the future. That made it possible to identify in advance locations where bottlenecks could emerge due to road-capacity constraints.
Based on the modeling results, the SEZ's management team was presented with a package of measures aimed at improving the resilience of the transportation system. These include adjustments to traffic-signal operations and infrastructure improvements designed to reduce the risks of congestion, delays, and overloads across both the internal road network and surrounding transportation infrastructure.
Significance of the Project
The Maksimikha SEZ is located 45 kilometers from the Moscow Ring Road, adjacent to Kashirskoye Highway, the M-4 Don motorway, the Central Ring Road, and a railway corridor. The territory sits at the intersection of the China - Europe and North - South transit routes. Transportation accessibility is one of the site's key competitive advantages.
For resident companies, business partners, and investors, the quality of transportation planning is of particular importance. Growth in the number of resident businesses and the expansion of warehousing capacity require accurate forecasting of infrastructure loads. The digital model enables systematic, proactive planning of the site's development and helps establish uninterrupted transportation logistics - the foundation of operational efficiency for companies operating there.
For the Moscow region, the project serves as a tool for strengthening investment attractiveness. The more accurately transportation loads can be projected, the lower the risk that growth in the number of resident companies will result in congestion, shipment delays, and rising logistics costs.
Prospects and Potential
The main opportunity within Russia is to replicate this approach across other special economic zones, industrial parks, logistics hubs, and large industrial sites. For the Maksimikha SEZ, the digital model could become part of a long-term territorial management strategy. Over time, such models may evolve into full-scale digital control environments featuring continuous road-load updates, integration of new resident companies, and scenario modeling for interchanges, warehouses, terminals, transit stops, and employee access routes.
The technological trajectory points toward a shift from one-time modeling exercises to real-time digital twins. For example, the digital twin project for the transportation system of the Leningrad region includes plans to integrate road cameras and transportation infrastructure data in order to assess traffic conditions in real time and regulate flows more effectively. For Maksimikha, a similar approach could involve integrating data from checkpoints, traffic lights, cameras, warehouse systems, and railway infrastructure.
Looking Back
Digital-twin technologies have been adopted increasingly in transportation systems both in Russia and internationally in recent years. In 2023, St. Petersburg migrated to the domestic RITM transportation-planning platform. Meanwhile, between 2025 and 2026, the Leningrad region has been implementing a digital twin of its transportation system.
In 2025, SIMETRA completed a digital twin of Ulyanovsk's transportation network. During the same period, development of the Maksimikha SEZ as a major industrial and logistics platform accelerated. VTB and RVB/Wildberries announced plans to build a creative and manufacturing cluster within the SEZ.
Looking Ahead
The Maksimikha project demonstrates a practical application of digital modeling for managing future loads across an industrial and logistics territory. For special economic zones and industrial parks, such models could become a new design standard. Whereas transportation infrastructure was often upgraded only after congestion problems emerged, digital modeling makes it possible to evaluate future scenarios in advance.
Over the next several years, similar projects are likely to become increasingly common across special economic zones, industrial parks, warehouse clusters, and metropolitan areas. The most promising direction is the integration of digital models with live operational data from cameras, sensors, traffic-management systems, warehouse WMS/TMS platforms, and railway logistics networks. At that stage, the digital twin would become not only a planning tool, but also an operational management system for transportation and logistics infrastructure.
