I&T Solution

Reference No.

S-0287

Solution Name

Siemens Mobility (e-)bike sharing powered by AI

Solution Description

Our bike sharing system provides a state-of-the-art operating system, powered by AI (machine learning and data analytics) features to optimize the operations and maintenance of the bike sharing system, and increase customer satisfaction.
The system provides a smart phone app including payment functions.
The proposed bicycles can be converted from conventional to electrical bikes and vice versa, depending on the customer (end-user) demand and preferred deployment mode.
Our concept foresees a station-based approach, which ensures that the shared bikes are always maintained and in a good shape (ready to use for the public). A managed bike sharing system is key to gain the public acceptance, gain a high quality of service for the public, as well as to avoid that bikes getting dumped within the public road network, rivers or the ocean. Furthermore, based on our experience the provision of e-bikes leads to a high acceptance in hot climate zones, as well as by young and old citizens, due to the fact that the bike ride is more convenient.

Application Areas

City Management
Environment
Health
Infrastructure
Recreation and Culture
Transport

Technologies Used

Artificial Intelligence (AI)
Cloud Computing
Data Analytics
Internet of Things (IoT)
Machine Learning
Mobile Technologies
Predictive Analytics

Use Case

This bike-sharing system provides an economical alternative to public transport for the public; this will have an impact on traffic diversion hence to mitigate traffic congestion.
This is not only an economical alternative for the public, but also an eco-friendly alternative. Bikes are electrically assisted; the power of the electric motor doesn’t exceed 250W which complies with the European standard. The electric motor assistance ends when the cyclist stops pedaling and allows each charge-up to power the system for a minimum of 7 days after the start of a trip.
These bikes are also designed to be as user-friendly as possible. Each bike is ergonomically designed to provide comfortable ride to the cyclist, as well as an electronic locker equipped that allows parking for temporary stops. Furthermore, the bikes enable parent cyclists to attach a bike baby chair.

Bike sharing will support and promote the image of Hong Kong as a green and sustainable city. Managed bike sharing systems support the reduction of carbon emission, a healthy lifestyle and tourism (many tourist like to use bike sharing systems as great alternative to explore the city and surroundings – the acceptance and utilization is quite high if the service quality is matching their expectations).

With Siemens Mobility latest IoT and AI technology, sustainability in a long run in all aspects is guaranteed, e.g. efficiency monitoring, smart data analysis for performance enhancement, fast tracking for maintenance, energy saving, smart advertising etc.

Costs: 
•	Initial installation cost depending on the selected service area.
•	Promotion to the public is recommended.

Company / Organisation Name

Siemens Mobility Limited

Email Address

daniel.weitze@siemens.com

Telephone Number

92193703

Website

siemens.com/mobility

Address

13/F, The Rays, 71 Hung To Road, Kwun Tong, Kowloon, Hong Kong

If any government department would like to conduct PoC trial or technology testing on the I&T solution, please contact Smart LAB.