Neuron e-Scooters: New Safety Tech Detects & Corrects Unsafe Riding

Neuron Mobility Enhances E-Scooter Safety with Advanced Technology

Neuron Mobility, a Singapore-based e-scooter-sharing provider, is deploying updates to its N3 scooters. These enhancements include a new operating system and supplementary on-board sensors designed to identify and rectify unsafe or inconsiderate riding practices.

Trial Deployment Across Multiple Countries

Approximately 1,500 upgraded scooters will be tested over the next six months in Australia, Canada, and the United Kingdom. This trial period will allow Neuron to assess the effectiveness of the new technology in real-world conditions.

Detecting and Correcting Unsafe Behaviors

The upgraded scooters will utilize precise location technology and swift geo-fence detection to address dangerous actions. These include aggressive swerving, skidding, riding on sidewalks, carrying passengers, and jumping curbs.

The integrated sensors and IoT capabilities enable the scooter to communicate with riders in multiple languages. It can offer guidance for behavioral correction or provide post-ride safety evaluations with educational resources delivered via email.

Automated Intervention for Serious Offenses

In critical situations, the scooter can automatically reduce speed and issue an audio warning, such as: “You are exiting the service area; return or power will be disabled.”

Long-Term Safety Rating System

Neuron plans to implement an individual safety rating for all riders. This system aims to encourage responsible riding, identify individuals needing safety training, and potentially restrict access for repeat offenders.

Focus of the Trial: Real-World Impact

“The primary objective of this trial is to determine the practical impact of this technology in everyday scenarios, with actual users,” stated Zachary Wang, CEO of Neuron, in an interview with TechCrunch. “We aim to analyze data from numerous scooters across diverse geographical locations, collaborating with city councils to establish optimal implementation strategies.”

Industry Trend: Enhanced Rider Assistance

Neuron joins other e-scooter operators, including Bird and Superpedestrian, in adopting rider assistance systems. Bird recently launched sidewalk riding detection in Milwaukee and San Diego, while Superpedestrian acquired Navmatic for high-accuracy positioning software.

ADAS Systems and Camera Integration

Companies like Spin, Voi, and Helbiz are also experimenting with advanced driver assistance systems (ADAS) for scooters. However, their approaches often involve cameras and additional sensors to assess rider behavior and parking practices.

In-House Development of Core Technology

While a later entrant to this technology, Neuron distinguishes itself by having developed its system entirely in-house. Other companies rely on partnerships with firms like u-blox, Drover AI, and Luna for location accuracy and computer vision modules.

Precise Location Tracking with GNSS

For accurate location data, Neuron is utilizing a multi-constellation, multi-band global navigation satellite system (GNSS). This system leverages radio signals from satellites to achieve highly precise geo-spatial positioning.

Sensor Integration for Comprehensive Data

New accelerometers and six-axis gyroscope sensors monitor vehicle speed, acceleration, turning angles, and slope changes. This data, combined with positioning software, helps determine aggressive driving and refine location accuracy.

Edge Computing for Rapid Geo-Fence Detection

The rapid geo-fence detection processes data locally using edge computing, rather than relying on cloud computing. This approach enables 10 centimeter-level accuracy.

Synergistic Technology Integration

“Over the past year, we’ve integrated these technologies, recognizing that each component requires additional sensors and precise positioning data for effective local processing,” explained Wang.

Tailored Feature Testing Based on Local Regulations

Not all features will be tested concurrently. For instance, in cities like Ottawa, where e-scooters are restricted to roads and bike paths, sidewalk detection will be prioritized. Conversely, in Australia, where sidewalk riding is permitted, the focus will be on high-accuracy location technology for designated parking zones.

Trial Locations and Current Market Presence

Neuron currently operates in 23 markets across Australia, Canada, New Zealand, the U.K., and Korea. The trial will be conducted in Ottawa, Canada; Brisbane and Darwin, Australia; and Slough, United Kingdom.