Logistics and Mobility
As the following use cases demonstrate, we have been tirelessly working towards Vision Zero. From hardware to software solutions, we are not afraid to challenge ourselves.
01
Emergency Vehicle Algorithm
Ambulance distribution system is expected to improve 30% survival probability, by combining ideas from multi-agent cooperative coverage control & state-of-the-art in resource allocation field. The system has been concept proved in Södermalm, Stockholm and can be tailormade for your city or region.
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The images show before & after allocating the red ambulance to pick up the patient (represented by small red point).
02
Mobile sensing platform
"Speed tracker" is developed by WSP and validated by FellowBot. With on-vehicle Radar, GPS and LED display we can show message such as "slow down" alternatively realtime speed of the cars following the sensing vehicle, the aim is to regulate the speeding with "social nudging". We manage to reduce 1% of the speed i.e. around 1km/h in two separate road test in Stockholm.
This prototype called speed tracker is with TRL 7 (test in a real environment) and can easily be mounted to the vehicle and use as a sensing platform for speeding monitoring and general data collection (data as speed, acceleration/deceleration, position in both lateral and longitudinal). We can also use the platform to test the effects of different messages communicating between vehicles.
03
E-scooter Simulation Vision Zero Project with eMats
Tackling safety concerns surrounding electric micro-mobility, particularly e-scooters. AI algorithms were developed to identify risky behaviors like drunk driving and tandem riding, by using a combination of VR simulations and real-world data.
The LSTM model showed high accuracy in detecting these behaviors:
- 86% for drunk driving
- 93% for tandem riding
A prototype dashboard was also created to monitor e-scooter maintenance needs. This research provided valuable tools for enhancing urban mobility safety and offers insights for stakeholders, contributing to Vision Zero goals. Future work involves model refinement, expanded data collection, and integration of advanced neural networks.
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