Publication:
Analysis and Use of Wi-Fi data for Signal State Identification

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cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.departmentIndian Institute of Technology, Madras
cris.virtualsource.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.department#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtualsource.department#PLACEHOLDER_PARENT_METADATA_VALUE#
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cris.virtualsource.department053e2e65-dd3f-4092-9565-1e48d26f2445
dc.contributor.authorSharma, Shubham
dc.contributor.authorMaripini, Himabindu
dc.contributor.authorKhadhir, Abdhul
dc.contributor.authorArkatkar, Shriniwas S.
dc.contributor.authorVanajakshi, Lelitha
dc.date.accessioned2023-09-19T13:29:23Z
dc.date.available2023-09-19T13:29:23Z
dc.date.issued01-01-2020
dc.description.abstractEfficient planning, operation and management of transportation facilities require extensive data regarding the traffic demand, patterns and conditions prevalent in the transportation network. Conventional data collection techniques such as loop detectors bear practical limitations such as limited accuracy and applicability, especially in mixed traffic conditions. Since use of smart phones has gained prominence in the recent times, crowd sourced data using Bluetooth and Wi-Fi technologies is perceived to be a reliable alternative for traffic data collection. This eases the rigorous data collection process by considerably reducing the investments on labor, time and other resources. Significant research has been carried out in the extraction and analysis of traffic data from Bluetooth sensors. Changes in privacy settings of smartphones has necessitated the devices to be put on "Discoverable" mode for passive data collection thereby resulting in drastic drops in market penetration rates. Unlike their Bluetooth counterparts, Wi-Fi protocol just requires the Wi-Fi to be switched on for passive data collection, thus resulting in higher penetration rates. This paper presents a preliminary analysis of data extracted from Wi-Fi sensors and the use of it for extracting the signal state information.
dc.identifier.doi10.1016/j.trpro.2020.08.129
dc.identifier.issn23521457
dc.identifier.scopus2-s2.0-85092191895
dc.identifier.urihttps://apicris.irins.org/handle/IITM2023/18986
dc.relation.ispartofseriesTransportation Research Procedia
dc.sourceTransportation Research Procedia
dc.subjectDescriptive statistics
dc.subjectSignal timings
dc.subjectTraffic data collection
dc.subjectWi-Fi sensors
dc.titleAnalysis and Use of Wi-Fi data for Signal State Identification
dc.typeConference Proceeding
dspace.entity.typePublication
oaire.citation.endPage1021
oaire.citation.startPage1008
oaire.citation.volume48
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
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oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliation#PLACEHOLDER_PARENT_METADATA_VALUE#
oairecerif.author.affiliationIndian Institute of Technology, Madras
person.affiliation.citySurat
person.affiliation.cityChennai
person.affiliation.id60026881
person.affiliation.id60025757
person.affiliation.nameS. V. National Institute of Technology
person.affiliation.nameIndian Institute of Technology Madras
person.identifier.scopus-author-id57216865698
person.identifier.scopus-author-id57219308016
person.identifier.scopus-author-id57218343608
person.identifier.scopus-author-id22936676400
person.identifier.scopus-author-id6507484049
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