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Smart Drive AI 2

Digitising accident reporting for public transport
Public transport accident reporting software

Project summary

The SmartDrive AI project aims to modernise accident reporting and management for public transport operators by replacing outdated paper-based systems with an easy-to-use digital solution. The inspiration came from everyday challenges faced by drivers and accident managers who rely on manual processes that are slow, error-prone and difficult to manage – especially in areas with poor internet connectivity. 

The project’s main goal is to improve safety, efficiency and decision-making by enabling real-time accident documentation, even offline, and streamlining the way reports and documents are handled. Using a mobile app tailored for public transport operations, SmartDrive AI allows drivers to quickly collect and upload key accident data – such as reports, photos, and videos – all linked to a unique case ID. Accident managers can access all information instantly, and the system can automatically send reports to insurance providers. 

Another key feature is built-in analytics, which help operators identify accident patterns and high-risk areas. This empowers transport authorities to take proactive steps toward improving road safety. 

The pilot was developed and led by Mapular UG, a location intelligence company based in Berlin, Germany. It is being implemented in close partnership with Rhein-Erft-Verkehrsgesellschaft (REVG), a public transport operator in North Rhine-Westphalia, one of Germany’s most densely populated regions. The project builds on a successful rollout in Graz, Austria, and runs throughout 2025. 

By solving a real and widespread problem in public transport, SmartDrive AI aims to become a scalable, cost-effective solution that improves safety and operations for transit systems across Europe. 

Project start:

1 April 2025

Project end:

31 December 2025

Budget:

€150,000

Countries

germany

Context

SmartDrive AI addresses 96% delays in public transport accident reporting caused by paper-based workflows, limited connectivity, and fragmented document and insurance processes. 

Challenge

SmartDrive AI digitises reporting with an offline-capable app, automates insurance workflows, and centralises data to reduce delays, errors and administrative burden. 

Expected outcome

Faster, more accurate accident reporting, reduced administrative workload, improved road safety through predictive analytics, and a scalable model for public transport operators across Europe. 

Project partners

Silver
Germany

Mapular

Project Lead

Finn Geiger

[email protected]