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Predictive AI Technology Deployed in Helsinki to Anticipate E-Scooter Accidents

ai-equipped e-scooters in Helsinki's trial analyze rider behavior and flag potential safety hazards using AI sensors.

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Predictive AI technology deployed in Helsinki to anticipate e-scooter accidents prior to their...
Predictive AI technology deployed in Helsinki to anticipate e-scooter accidents prior to their occurrence

Predictive AI Technology Deployed in Helsinki to Anticipate E-Scooter Accidents

In a bid to enhance urban safety and make micromobility more appealing, Helsinki, Finland, is spearheading a six-month AI-powered e-scooter safety pilot project. The collaborative initiative, coordinated by Forum Virium Helsinki under the EU-funded ELABORATOR project, brings together Tier-Dott, Vianova, and See.Sense [1][2][5].

Forty shared e-scooters from Tier-Dott and one other operator are equipped with See.Sense’s AI-powered sensors, collecting real-time data on rider behavior and road conditions [1][2][3]. This data is fed into AI-based risk analysis tools to identify high-risk areas and problematic rider behaviors before accidents occur, enabling proactive detection of dangerous situations [2][3][4].

Vianova integrates the analyzed data into its Mobility Data Platform, providing city authorities with actionable insights for infrastructure planning and safety interventions [1][2][5]. This collaboration helps local governments target infrastructure improvements and enforcement measures based on precise, data-driven risk mapping, supporting wider goals of reducing car dependency and improving urban livability [1][2].

Elina Buürkland, Dott's head of public policy for the Nordics, stated that partnering with the City of Helsinki allows for proactive identification of risks through real-time data [3]. Noora Reittu, senior project manager of ELABORATOR, added that the technology can provide new information about accidents and risky situations [4].

The project aims to shift urban safety strategies from reactive to proactive by leveraging AI and real-time data for smarter, more responsive city planning and e-scooter safety improvements [1][2][5]. As operators face pressure to integrate safely into urban mobility systems, Tier-Dott aims to scale more sustainably through data-driven collaboration with cities [3].

The initiative follows a trend in European cities, with Paris banning rental e-scooters in 2023, while Oslo and Madrid have capped fleet sizes, introduced no-parking zones, or tightened speed limits for e-scooters [3]. Each e-scooter in the Helsinki pilot is fitted with sensors developed by See.Sense, shifting the focus from rider behavior to infrastructure quality to address the root causes of many accidents [1].

Results from the Helsinki pilot will feed into broader EU research on safe, inclusive transport and may inform future regulation [3]. The project underscores Helsinki's position as a testbed in Europe's evolving micromobility experiment, as it strives to make its streets safer and more inviting for all users.

[1] https://www.forumvirium.fi/en/news/article/helsinki-launches-ai-powered-e-scooter-safety-pilot-with-tier-dott-vianova-and-see-sense [2] https://www.vianova.fi/en/news/article/helsinki-launches-ai-powered-e-scooter-safety-pilot-with-tier-dott-vianova-and-see-sense [3] https://www.dott.city/news/ai-powered-e-scooter-safety-pilot-launches-in-helsinki [4] https://www.elaboratorproject.eu/news/helsinki-launches-ai-powered-e-scooter-safety-pilot-with-tier-dott-vianova-and-see-sense [5] https://www.forumvirium.fi/en/news/article/helsinki-launches-ai-powered-e-scooter-safety-pilot-with-tier-dott-vianova-and-see-sense-within-the-elaborator-project

  1. The collaboration between Tier-Dott, Vianova, and See.Sense, which is part of the ELABORATOR project, is using AI-powered technology to collect data on rider behavior and road conditions for the betterment of urban safety and micromobility in Helsinki.
  2. Elina Buürkland, Dott's head of public policy for the Nordics, highlighted that the project with the City of Helsinki allows for real-time data to be used proactively for identifying risks, leading to smarter city planning and e-scooter safety improvements.
  3. As part of this AI-powered e-scooter safety pilot project, Helsinki aims to shift urban safety strategies towards a proactive approach by leveraging data-and-cloud-computing and artificial-intelligence technologies for improved city infrastructure planning and policy-and-legislation.
  4. In light of European cities implementing regulations on e-scooters, such as Paris' ban in 2023, the data-driven collaboration between Tier-Dott and cities like Helsinki is essential for the finance industry and fintech sector to align with the best practices in technology and politics, ensuring the growth and safety of the micromobility industry.

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