How Haro’s Smart Bike Scheduling Boosts Asset Utilization – Key Takeaways from the HiPM Summit

At the HiPM Product Innovation Summit, Haro’s senior product expert shared a five‑point framework and a three‑stage evolution of intelligent bike dispatch, revealing how data‑driven, human‑machine collaboration can transform chaotic bike distribution into efficient, asset‑maximizing operations.

AILogisticsOperations

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How Haro’s Smart Bike Scheduling Boosts Asset Utilization – Key Takeaways from the HiPM Summit

Didi Tech

Jun 4, 2021 · Artificial Intelligence

Graph Convolutional Network for Shared Bike Demand Forecasting: Time Series Modeling and Multi‑Task Learning

The paper presents a graph convolutional network approach that leverages multi‑task learning and spectral graph convolutions to forecast shared‑bike inflow, outflow, and demand gaps across a city’s non‑Euclidean parking network, demonstrating improved accuracy over traditional time‑series baselines while noting scalability and directional graph limitations.

Demand ForecastingGCNGraph Neural Network

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Graph Convolutional Network for Shared Bike Demand Forecasting: Time Series Modeling and Multi‑Task Learning

Java Backend Technology

Dec 23, 2017 · Operations

How Mobike’s Electronic Locks Play Christmas Songs: Inside the IoT Architecture

This article explores why Mobike bikes unexpectedly sing Christmas songs, detailing the electronic lock’s cloud‑based unlocking process, the evolution from kinetic to solar power, the hardware modules involved, and the massive IoT platform that supports millions of rides worldwide.

Electronic LockIoTMobike

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How Mobike’s Electronic Locks Play Christmas Songs: Inside the IoT Architecture