[HTML][HTML] Review on smartphone sensing technology for structural health monitoring

H Sarmadi, A Entezami, KV Yuen, B Behkamal - Measurement, 2023 - Elsevier
Sensing is a critical and inevitable sector of structural health monitoring (SHM). Recently,
smartphone sensing technology has become an emerging, affordable, and effective system …

A safe infrastructure for micromobility: the current state of knowledge

M Hossein Sabbaghian, D Llopis-Castelló, A García - Sustainability, 2023 - mdpi.com
Major cities in Europe have seen a significant increase in micromobility infrastructure,
including cycling infrastructure, with 42 European Metropolitan cities implementing 1421.54 …

[HTML][HTML] Passively generated big data for micro-mobility: State-of-the-art and future research directions

HH Schumann, H Haitao, M Quddus - Transportation Research Part D …, 2023 - Elsevier
The sharp rise in popularity of micro-mobility poses significant challenges in terms of
ensuring its safety, addressing its social impacts, mitigating its environmental effects, and …

Smartphone applications for pavement condition monitoring: A review

AM Al-Sabaeei, MI Souliman, A Jagadeesh - Construction and Building …, 2024 - Elsevier
Pavement condition monitoring (PCM) systems are essential for making decisions on road
maintenance and rehabilitation toward preserving roads and airports assets in a good …

Skid resistance analysis of urban bike lane pavements for safe micromobility

M López-Molina, D Llopis-Castelló, AM Pérez-Zuriaga… - Sustainability, 2022 - mdpi.com
The use of micromobility vehicles is considerably growing in cities worldwide. As a result,
crashes involving these vehicles are also increasing, with single-bicycle crashes accounting …

[HTML][HTML] A Sequence-Based Hybrid Ensemble Approach for Estimating Trail Pavement Roughness Using Smartphone and Bicycle Data

YI Alatoom, ZU Zihan, I Nlenanya, AB Al-Hamdan… - Infrastructures, 2024 - mdpi.com
Trail pavement roughness significantly impacts user experience and safety. Measuring
roughness over large areas using traditional equipment is challenging and expensive. The …

Detection of anomalies in cycling behavior with convolutional neural network and deep learning

S Yaqoob, S Cafiso, G Morabito… - … transport research review, 2023 - Springer
Background Cycling has always been considered a sustainable and healthy mode of
transport. With the increasing concerns of greenhouse gases and pollution, policy makers …

Analysis of e-scooter vibrations risks for riding comfort based on real measurements

JD Cano-Moreno, JM Cabanellas Becerra… - Machines, 2022 - mdpi.com
Means of transport should be able to fulfil their main function safely and comfortably for
travellers and drivers. The effects of vibrations on ride comfort are in the frequency range of …

Implementation of a low-cost data acquisition system on an e-scooter for micromobility research

AM Pérez-Zuriaga, D Llopis-Castelló, V Just-Martínez… - Sensors, 2022 - mdpi.com
In recent years, cities are experiencing changes in the ways of moving around, increasing
the use of micromobility vehicles. Bicycles are the most widespread transport mode and …

Safety monitoring system of personal mobility driving using deep learning

E Kim, H Ryu, H Oh, N Kang - Journal of Computational Design …, 2022 - academic.oup.com
Although the e-scooter sharing service market is growing as a representative last-mile
mobility, the accident rate is increasing proportionally as the number of users increases. This …