International Conference on Smart Infrastructure and Construction 2019 (ICSIC) 2019
DOI: 10.1680/icsic.64669.125
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Using Fibre Optic Cables To Deliver Intelligent Traffic Management In Smart Cities

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Cited by 16 publications
(11 citation statements)
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“…The cable position with respect to the road and the dependencies of the system quality on the cable laying options are considered in [ 99 ]. The results of a two-year test of a system on a small section of urban highway, presented in [ 100 ], reported accuracies of 70% and 95%, for the classification of car types and their speed, respectively.…”
Section: Das In the Engineering Sciences (Andrey A Zhirnov And Konsta...mentioning
confidence: 99%
“…The cable position with respect to the road and the dependencies of the system quality on the cable laying options are considered in [ 99 ]. The results of a two-year test of a system on a small section of urban highway, presented in [ 100 ], reported accuracies of 70% and 95%, for the classification of car types and their speed, respectively.…”
Section: Das In the Engineering Sciences (Andrey A Zhirnov And Konsta...mentioning
confidence: 99%
“…These systems are used extensively by TMCs to monitor abnormal traffic patterns, accidents, and congestion for rerouting traffic and responding to disasters ( 21 , 22 ). Although there is an extensive amount of literature on the applicability of DFOS for monitoring railway traffic ( 23 , 24 ), gas flow in pipelines ( 25 , 26 ), intrusions ( 12 , 27 ), and structural health ( 28 30 ), the use of DFOS to monitor traffic is still an emerging field ( 9 ). This motivates us to introduce a basic framework required to realize a DFOS based highway traffic monitoring system.…”
Section: Distributed Fiber-optic Sensingmentioning
confidence: 99%
“…These can then be used to detect congestion, abnormal traffic patterns, and travel times. The potential of DFOS for measuring the traffic properties has recently being studied ( 6 – 10 ). To the best of our knowledge, these is no literature which provides sufficient information on how the sensor data is processed and used to monitor traffic.…”
mentioning
confidence: 99%
“…The recent studies have focused on qualitative evaluation of roadside φ-OTDR data obtained from unused roadside telecommunications fiber (called dark fiber) to monitor vibrations caused by vehicles. 12 For example, Liu et al (2020) showed that DAS data from a roadside array can be used to classify vehicles based on their acoustic signatures. 13 Lindsey et al (2020) explored the mechanics that cause the signals at low frequency, identifying the source of <1 Hz signals as roadbed strain.…”
Section: Introductionmentioning
confidence: 99%
“…This study demonstrates how φ‐OTDR can be used to sense strains caused by different roadway activities. While recent studies have focused on qualitative evaluation of roadside φ‐OTDR data obtained from unused roadside telecommunications fiber (called dark fiber) to monitor vibrations caused by vehicles 12 . For example, Liu et al showed that DAS data from a roadside array can be used to classify vehicles based on their acoustic signatures 13 .…”
Section: Introductionmentioning
confidence: 99%