Neuron tests its brain in pursuit of the Holy Grail
eScooter operator Neuron Mobility is to put its eScooter brain to the test in a six-month trial across four cities in three countries, including the UK, Canada and Australia. The aim is to develop the Holy Grail for eScooter operators - a real-time dangerous riding detection system.
Neuron’s eScooter brain comprises three pieces of technology, which are being added to trial scooters already in operation.
The first piece of technology - HALT (High Accuracy Location Technology) tracks a vehicle’s real-time location to within 10cm, which Neuron claims is 50 times more accurate than the current industry average.
A world first in dangerous riding detection
The second innovation is RDG (Rapid Geofencing Detection), which works with HALT to quickly detect (within 0.3 seconds) scooters that have crossed a geofence. In combination, these technologies can instantaneously detect and control pavement riding and designate smart parking locations. Together with a range of multifunction sensors and a new vehicle operating system, these features create a Dangerous Riding Detection (DRD) system, which Neuron claims is the world’s first.
The system counteracts a range of unsafe behaviours, including: pavement riding, aggressive swerving, skidding, tandem riding and kerb jumping. It will allow the operator to correct and penalise unsafe behaviours and incentivise safe riding.
The trial will last six months and findings will be evaluated and used to refine the technology before being rolled out across Neuron’s fleet internationally.
Zachary Wang, CEO of Neuron Mobility, said: “Recently there’s been plenty of industry talk from micro-mobility operators about how to apply new technology to better control e-scooters in cities, but until now it’s mostly been aspirational or theoretical.“
He continued: “Our trial is the first of its kind - we’ll have 1,500 e-scooters in cities across the world being tested in real-world situations to improve rider behaviour and safety. The launch of our Dangerous Riding Detection technology allows us to profile our riders, and we can take a carrot and stick approach to improving behaviour. Long-term, we can give all riders an individual safety rating. It will allow us to incentivise good behaviour, target certain riders for refresher training, and also ban rogue riders and repeat offenders for riding dangerously.”
We must all do our part of stay safe
Nathan Davies, Executive Head of Policy and Portfolio at RoSPA (Royal Society for the Prevention of Accidents) said: “Neuron’s new Dangerous Driving Detection technology is a great step forward for helping and educating e-scooter riders. However, while we mustn’t forget that e-scooter users must ride sensibly and abide by the rules, the same principles apply to drivers of all vehicles. We must all do our part to keep ourselves and the people around us safe and out of harm's way.”
It’ll be interesting to see how the trial progresses and what changes are made afterwards. Global Fleet will be keeping an eye on developments.
Images courtesy of Neuron Mobility