We are thrilled to announce that two of our Smart Connected Bikes PhD students Khalil Ben Fredj and Akhil Pallamreddy presented their paper, "E-Go Bicycle Intelligent Speed Adaptation for Catching the Green Light," at the EAI MobiQuitous 2023 conference in RMIT University, Melbourne, Australia!
The paper proposes an intelligent bicycle speed adaptation method that allows the cyclist to catch the green light by adjusting the motor assistance. The highlights of the paper are:
- Intelligent Speed Adaptation using fuzzy logic-based motor control.
- Distance (to traffic light) estimation using Bluetooth (LE) Received Signal Strength Indicator (RSSI).
- Optimizing traffic flow while maintaining cycling safety and comfort.
The conference was an amazing opportunity for our researchers to brainstorm and identify future work in the Smart Connected Bikes project.
We are particularly happy that this is an EDGE-authored paper, including (apart from the presenters) - Paul Havinga, Geert Heijenk, and Yanqiu Huang. We can't wait to share the full paper with you, once it is published!
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