Digital Twin of an Electric Bicycle Using Smartphone Sensors and Weather Data
- 10 March 2025
- book chapter
- Published by Springer Nature
- p. 316-330
Abstract
No abstract availableKeywords
This publication has 8 references indexed in Scilit:
- Assessing the E-bike trends and impact on sustainable mobility: A national-level study in the NetherlandsJournal of Cycling and Micromobility Research, 2024
- Digital twin for motorcycle riding profile predictionTransportation Research Part C: Emerging Technologies, 2024
- A simulation model of the real-world fuel and energy consumption of light-duty vehiclesFrontiers in Future Transportation, 2024
- An Algorithm to Predict E-Bike Power Consumption Based on Planned RoutesElectronics, 2022
- Improving the Autonomy of a Mid-Drive Motor Electric Bicycle Based on System Efficiency Maps and Its PerformanceWorld Electric Vehicle Journal, 2021
- Enabling technologies and tools for digital twinJournal of Manufacturing Systems, 2021
- Introducing new criteria to support cycling navigation and infrastructure planning in flat and hilly citiesTransportation Research Procedia, 2020
- Introduction and Overview2006