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Article

A Novel Acceleration Signal Processing Procedure for Cycling Safety Assessment

1
Dipartimento di Ingegneria Elettrica Elettronica e Informatica, University of Catania, 95125 Catania, Italy
2
Dipartimento di Ingegneria Civile e Architettura, University of Catania, 95125 Catania, Italy
*
Authors to whom correspondence should be addressed.
All the authors contributed equally to this work.
Academic Editor: Dimitrios Moshou
Sensors 2021, 21(12), 4183; https://doi.org/10.3390/s21124183
Received: 29 April 2021 / Revised: 1 June 2021 / Accepted: 4 June 2021 / Published: 18 June 2021
(This article belongs to the Special Issue Sensory Data Supported Traffic Safety Analysis for Smart City Era)
With the growing rate of urban population and transport congestion, it is important for a city to have bike riding as an attractive travel choice but one of its biggest barriers for people is the perceived lack of safety. To improve the safety of urban cycling, identification of high-risk location and routes are major obstacles for safety countermeasures. Risk assessment is performed by crash data analysis, but the lack of data makes that approach less effective when applied to cyclist safety. Furthermore, the availability of data collected with the modern technologies opens the way to different approaches. This research aim is to analyse data needs and capability to identify critical cycling safety events for urban context where bicyclist behaviour can be recorded with different equipment and bicycle used as a probe vehicle to collect data. More specifically, three different sampling frequencies have been investigated to define the minimum one able to detect and recognize hard breaking. In details, a novel signal processing procedure has been proposed to correctly deal with speed and acceleration signals. Besides common signal filtering approaches, wavelet transformation and Dynamic Time Warping (DTW) techniques have been applied to remove more efficiently the instrument noise and align the signals with respect to the reference. The Euclidean distance of the DTW has been introduced as index to get the best filter parameters configuration. Obtained results, both during the calibration and the investigated real scenario, confirm that at least a GPS signal with a sampling frequency of 1Hz is needed to track the rider’s behaviour to detect events. In conclusion, with a very cheap hardware setup is possible to monitor riders’ speed and acceleration. View Full-Text
Keywords: wavelet decomposition; Dynamic Time Warping; bicycle; GPS tracking; traffic conflict wavelet decomposition; Dynamic Time Warping; bicycle; GPS tracking; traffic conflict
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MDPI and ACS Style

Murgano, E.; Caponetto, R.; Pappalardo, G.; Cafiso, S.D.; Severino, A. A Novel Acceleration Signal Processing Procedure for Cycling Safety Assessment. Sensors 2021, 21, 4183. https://doi.org/10.3390/s21124183

AMA Style

Murgano E, Caponetto R, Pappalardo G, Cafiso SD, Severino A. A Novel Acceleration Signal Processing Procedure for Cycling Safety Assessment. Sensors. 2021; 21(12):4183. https://doi.org/10.3390/s21124183

Chicago/Turabian Style

Murgano, Emanuele, Riccardo Caponetto, Giuseppina Pappalardo, Salvatore Damiano Cafiso, and Alessandro Severino. 2021. "A Novel Acceleration Signal Processing Procedure for Cycling Safety Assessment" Sensors 21, no. 12: 4183. https://doi.org/10.3390/s21124183

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