Russia Updates SIM Rules in Driver Exam and Road Sign Compliance

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The Russian Ministry of Internal Affairs (MIA) has integrated guidelines for electric scooters and other personal mobility devices into the theoretical portion of the driving license exam. This update is reported by the department’s press center and cited by TASS. The emphasis is on aligning the exam content with recent road rule changes that took effect on March 1, 2023, and specifically on how these devices should be used on public roads.

In particular, the ministry clarifies that the new exam questions address the modified rules governing the operation of individual mobility vehicles. These changes include the interpretation of signs 3.29 and 3.30, which pertain to parking restrictions on even and odd days of the month, among other related indicators. The clarification underscores that drivers must recognize and apply these signs correctly when navigating urban streets with SIM devices.

Previously, the newspaper Kommersant cited statements from the Ministry of Transport suggesting that traffic regulations for SIM users have been in effect since March this year and could be adjusted after further analysis by law enforcement agencies. This reflects an ongoing process of monitoring and refining how personal mobility is regulated on Russia’s roadways.

Earlier proposals from the Ministry of Transport included incorporating training on the safe operation of personal mobility equipment into the school curriculum. The goal is to build foundational awareness among younger generations, ensuring that future road users understand safe practices, local rules, and the responsibilities that come with sharing the pavement and roadway with SIM devices.

On the municipal front, the head of Moscow’s traffic police stated that certain main roads in the capital have begun testing neural network-based monitoring systems to identify violations by SIM users. This initiative represents an acceleration in enforcement technology aimed at improving safety and compliance on busy corridors, while also illustrating how data-driven approaches are shaping contemporary traffic management in large cities. (Cited: TASS)

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