Bike-sharing demand prediction at community level under COVID-19 using deep learning

A Mehdizadeh Dastjerdi, C Morency - Sensors, 2022 - mdpi.com
An important question in planning and designing bike-sharing services is to support the
user's travel demand by allocating bikes at the stations in an efficient and reliable manner …

[HTML][HTML] Urban road pavements monitoring and assessment using bike and e-scooter as probe vehicles

S Cafiso, A Di Graziano, V Marchetta… - Case Studies in …, 2022 - Elsevier
Comfort and safe-mobility are two aspects that should be provided to non-motorized users
that are an increasing component of the urban micro-mobility (eg bikes and e-scooters). For …

Smart electrically assisted bicycles as health monitoring systems: a review

EG Avina-Bravo, J Cassirame, C Escriba, P Acco… - Sensors, 2022 - mdpi.com
This paper aims to provide a review of the electrically assisted bicycles (also known as e-
bikes) used for recovery of the rider's physical and physiological information, monitoring 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 …

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 …

Torque measurement and control for electric-assisted bike considering different external load conditions

PJ Ho, CP Yi, YJ Lin, WD Chung, PH Chou, SC Yang - Sensors, 2023 - mdpi.com
This paper proposes a novel torque measurement and control technique for cycling-assisted
electric bikes (E-bikes) considering various external load conditions. For assisted E-bikes …

Improving Cyclists' Safety Using Intelligent Situational Awareness System

A Nourbakhshrezaei, M Jadidi, G Sohn - Sustainability, 2023 - mdpi.com
According to the World Health Organization (WHO), over 1.35 million people died in road
traffic-related accidents worldwide in 2020 of which 41,000 are related to the cyclists. Bike …

Observed risk and user perception of road infrastructure safety assessment for cycling mobility

S Cafiso, G Pappalardo, N Stamatiadis - Infrastructures, 2021 - mdpi.com
The opportunities for data collection in smart cities and communities provide new
approaches for assessing risk of roadway components. This paper presents and compares …

Road cycling safety scoring based on geospatial analysis, computer vision and machine learning

J De Bock, S Verstockt - Multimedia Tools and Applications, 2023 - Springer
Road cycling is a cycling discipline in which riders ride on public roads. Traffic calming
measures are made to make public roads safer for everyday usage for all its users …

Safety aspects of intelligent transport systems applied to road intersections

S Barberi, F Arena, F Termine, A Canale… - AIP conference …, 2022 - pubs.aip.org
Increasing traffic demands in urban areas lead to higher risks of accidents and car crashes,
constituting a treat for road users like drivers, cyclists and pedestrians. Intersections are a …