Disdrometer Performance Optimization for Use in Urban Settings Based on the Parameters that Affect the Measurements

There are currently different types of commercial optical disdrometers to measure the rainfall intensity, of which many are commonly used for monitoring road conditions. Having information about the amount of rain, the composition of the precipitation particles and visibility are essential to avoid...

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Main Authors: Ferran Mocholí Belenguer, Antonio Martínez-Millana, Antonio Mocholí Salcedo, Víctor Milián Sánchez, María Josefa Palomo Anaya
Format: Article
Language:English
Published: MDPI AG 2020-02-01
Series:Symmetry
Subjects:
Online Access:https://www.mdpi.com/2073-8994/12/2/303
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author Ferran Mocholí Belenguer
Antonio Martínez-Millana
Antonio Mocholí Salcedo
Víctor Milián Sánchez
María Josefa Palomo Anaya
author_facet Ferran Mocholí Belenguer
Antonio Martínez-Millana
Antonio Mocholí Salcedo
Víctor Milián Sánchez
María Josefa Palomo Anaya
author_sort Ferran Mocholí Belenguer
collection DOAJ
description There are currently different types of commercial optical disdrometers to measure the rainfall intensity, of which many are commonly used for monitoring road conditions. Having information about the amount of rain, the composition of the precipitation particles and visibility are essential to avoid accidents, which requires intelligent systems that warn drivers and redirect traffic. However, few studies related to Intelligent Transport Systems (ITS) have been performed regarding why these devices are not optimized for this type of applications. Therefore, this paper analyzes and evaluates the operating mode of these equipment through their theoretical model, which will allow the design of prototypes of disdrometers with different characteristics. In addition, this model will be implemented in a simulation program, through which an exhaustive study analyzing how the type of precipitation and its intensity affect the measures provided by the model will be conducted. In this way, the results will help optimize its operation to be thus used in urban settings, which will allow obtaining more accurate real-time information, better traffic management, and a reduction in the number of accidents.
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spelling doaj.art-9210b764f9a84fa98de2450e7adb05112022-12-22T04:03:40ZengMDPI AGSymmetry2073-89942020-02-0112230310.3390/sym12020303sym12020303Disdrometer Performance Optimization for Use in Urban Settings Based on the Parameters that Affect the MeasurementsFerran Mocholí Belenguer0Antonio Martínez-Millana1Antonio Mocholí Salcedo2Víctor Milián Sánchez3María Josefa Palomo Anaya4Traffic Control Systems Group, ITACA Institute, Universitat Politècnica de València, 46022 Valencia, SpainSABIEN Group, ITACA Institute, Universitat Politècnica de València, 46022 Valencia, SpainDepartment of Electronic Engineering, ITACA Institute, Universitat Politècnica de València, 46022 Valencia, SpainChemical and Nuclear Engineering Department, Institute of Industrial, Radiological and Environmental Safety, Universitat Politècnica de València, 46022 Valencia, SpainChemical and Nuclear Engineering Department, Institute of Industrial, Radiological and Environmental Safety, Universitat Politècnica de València, 46022 Valencia, SpainThere are currently different types of commercial optical disdrometers to measure the rainfall intensity, of which many are commonly used for monitoring road conditions. Having information about the amount of rain, the composition of the precipitation particles and visibility are essential to avoid accidents, which requires intelligent systems that warn drivers and redirect traffic. However, few studies related to Intelligent Transport Systems (ITS) have been performed regarding why these devices are not optimized for this type of applications. Therefore, this paper analyzes and evaluates the operating mode of these equipment through their theoretical model, which will allow the design of prototypes of disdrometers with different characteristics. In addition, this model will be implemented in a simulation program, through which an exhaustive study analyzing how the type of precipitation and its intensity affect the measures provided by the model will be conducted. In this way, the results will help optimize its operation to be thus used in urban settings, which will allow obtaining more accurate real-time information, better traffic management, and a reduction in the number of accidents.https://www.mdpi.com/2073-8994/12/2/303disdrometerprecipitationrainsafetytraffic
spellingShingle Ferran Mocholí Belenguer
Antonio Martínez-Millana
Antonio Mocholí Salcedo
Víctor Milián Sánchez
María Josefa Palomo Anaya
Disdrometer Performance Optimization for Use in Urban Settings Based on the Parameters that Affect the Measurements
Symmetry
disdrometer
precipitation
rain
safety
traffic
title Disdrometer Performance Optimization for Use in Urban Settings Based on the Parameters that Affect the Measurements
title_full Disdrometer Performance Optimization for Use in Urban Settings Based on the Parameters that Affect the Measurements
title_fullStr Disdrometer Performance Optimization for Use in Urban Settings Based on the Parameters that Affect the Measurements
title_full_unstemmed Disdrometer Performance Optimization for Use in Urban Settings Based on the Parameters that Affect the Measurements
title_short Disdrometer Performance Optimization for Use in Urban Settings Based on the Parameters that Affect the Measurements
title_sort disdrometer performance optimization for use in urban settings based on the parameters that affect the measurements
topic disdrometer
precipitation
rain
safety
traffic
url https://www.mdpi.com/2073-8994/12/2/303
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