The Experts below are selected from a list of 65484 Experts worldwide ranked by ideXlab platform
Eil Kwon - One of the best experts on this subject based on the ideXlab platform.
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a self sensing carbon nanotube cement composite for Traffic Monitoring
Nanotechnology, 2009Co-Authors: Xiaonan Yu, Eil KwonAbstract:In this paper, a self-sensing carbon nanotube (CNT)/cement composite is investigated for Traffic Monitoring. The cement composite is filled with multi-walled carbon nanotubes whose piezoresistive properties enable the detection of mechanical stresses induced by Traffic flow. The sensing capability of the self-sensing CNT/cement composite is explored in laboratory tests and road tests. Experimental results show that the fabricated self-sensing CNT/cement composite presents sensitive and stable responses to repeated compressive loadings and impulsive loadings, and has remarkable responses to vehicular loadings. These findings indicate that the self-sensing CNT/cement composite has great potential for Traffic Monitoring use, such as in Traffic flow detection, weigh-in-motion measurement and vehicle speed detection.
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a self sensing carbon nanotube cement composite for Traffic Monitoring
Nanotechnology, 2009Co-Authors: Xiaonan Yu, Eil KwonAbstract:In this paper, a self-sensing carbon nanotube (CNT)/cement composite is investigated for Traffic Monitoring. The cement composite is filled with multi-walled carbon nanotubes whose piezoresistive properties enable the detection of mechanical stresses induced by Traffic flow. The sensing capability of the self-sensing CNT/cement composite is explored in laboratory tests and road tests. Experimental results show that the fabricated self-sensing CNT/cement composite presents sensitive and stable responses to repeated compressive loadings and impulsive loadings, and has remarkable responses to vehicular loadings. These findings indicate that the self-sensing CNT/cement composite has great potential for Traffic Monitoring use, such as in Traffic flow detection, weigh-in-motion measurement and vehicle speed detection.
Xiaonan Yu - One of the best experts on this subject based on the ideXlab platform.
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a self sensing carbon nanotube cement composite for Traffic Monitoring
Nanotechnology, 2009Co-Authors: Xiaonan Yu, Eil KwonAbstract:In this paper, a self-sensing carbon nanotube (CNT)/cement composite is investigated for Traffic Monitoring. The cement composite is filled with multi-walled carbon nanotubes whose piezoresistive properties enable the detection of mechanical stresses induced by Traffic flow. The sensing capability of the self-sensing CNT/cement composite is explored in laboratory tests and road tests. Experimental results show that the fabricated self-sensing CNT/cement composite presents sensitive and stable responses to repeated compressive loadings and impulsive loadings, and has remarkable responses to vehicular loadings. These findings indicate that the self-sensing CNT/cement composite has great potential for Traffic Monitoring use, such as in Traffic flow detection, weigh-in-motion measurement and vehicle speed detection.
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a self sensing carbon nanotube cement composite for Traffic Monitoring
Nanotechnology, 2009Co-Authors: Xiaonan Yu, Eil KwonAbstract:In this paper, a self-sensing carbon nanotube (CNT)/cement composite is investigated for Traffic Monitoring. The cement composite is filled with multi-walled carbon nanotubes whose piezoresistive properties enable the detection of mechanical stresses induced by Traffic flow. The sensing capability of the self-sensing CNT/cement composite is explored in laboratory tests and road tests. Experimental results show that the fabricated self-sensing CNT/cement composite presents sensitive and stable responses to repeated compressive loadings and impulsive loadings, and has remarkable responses to vehicular loadings. These findings indicate that the self-sensing CNT/cement composite has great potential for Traffic Monitoring use, such as in Traffic flow detection, weigh-in-motion measurement and vehicle speed detection.
Jeff Ban - One of the best experts on this subject based on the ideXlab platform.
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enhancing privacy and accuracy in probe vehicle based Traffic Monitoring via virtual trip lines
IEEE Transactions on Mobile Computing, 2012Co-Authors: Baik Hoh, Marco Gruteser, Ryan Herring, Daniel B Work, Juancarlos Herrera, Alexandre M Bayen, Murali Annavaram, Quinn Jacobson, T Iwuchukwu, Jeff BanAbstract:Traffic Monitoring using probe vehicles with GPS receivers promises significant improvements in cost, coverage, and accuracy over dedicated infrastructure systems. Current approaches, however, raise privacy concerns because they require participants to reveal their positions to an external Traffic Monitoring server. To address this challenge, we describe a system based on virtual trip lines and an associated cloaking technique, followed by another system design in which we relax the privacy requirements to maximize the accuracy of real-time Traffic estimation. We introduce virtual trip lines which are geographic markers that indicate where vehicles should provide speed updates. These markers are placed to avoid specific privacy sensitive locations. They also allow aggregating and cloaking several location updates based on trip line identifiers, without knowing the actual geographic locations of these trip lines. Thus, they facilitate the design of a distributed architecture, in which no single entity has a complete knowledge of probe identities and fine-grained location information. We have implemented the system with GPS smartphone clients and conducted a controlled experiment with 100 phone-equipped drivers circling a highway segment, which was later extended into a year-long public deployment.
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virtual trip lines for distributed privacy preserving Traffic Monitoring
International Conference on Mobile Systems Applications and Services, 2008Co-Authors: Baik Hoh, Marco Gruteser, Ryan Herring, Jeff Ban, Daniel B Work, Juancarlos Herrera, Alexandre M Bayen, Murali Annavaram, Quinn JacobsonAbstract:Automotive Traffic Monitoring using probe vehicles with Global Positioning System receivers promises significant improvements in cost, coverage, and accuracy. Current approaches, however, raise privacy concerns because they require participants to reveal their positions to an external Traffic Monitoring server. To address this challenge, we propose a system based on virtual trip lines and an associated cloaking technique. Virtual trip lines are geographic markers that indicate where vehicles should provide location updates. These markers can be placed to avoid particularly privacy sensitive locations. They also allow aggregating and cloaking several location updates based on trip line identifiers, without knowing the actual geographic locations of these trip lines. Thus they facilitate the design of a distributed architecture, where no single entity has a complete knowledge of probe identities and fine-grained location information. We have implemented the system with GPS smartphone clients and conducted a controlled experiment with 20 phone-equipped drivers circling a highway segment. Results show that even with this low number of probe vehicles, travel time estimates can be provided with less than 15% error, and applying the cloaking techniques reduces travel time estimation accuracy by less than 5% compared to a standard periodic sampling approach.
Quinn Jacobson - One of the best experts on this subject based on the ideXlab platform.
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enhancing privacy and accuracy in probe vehicle based Traffic Monitoring via virtual trip lines
IEEE Transactions on Mobile Computing, 2012Co-Authors: Baik Hoh, Marco Gruteser, Ryan Herring, Daniel B Work, Juancarlos Herrera, Alexandre M Bayen, Murali Annavaram, Quinn Jacobson, T Iwuchukwu, Jeff BanAbstract:Traffic Monitoring using probe vehicles with GPS receivers promises significant improvements in cost, coverage, and accuracy over dedicated infrastructure systems. Current approaches, however, raise privacy concerns because they require participants to reveal their positions to an external Traffic Monitoring server. To address this challenge, we describe a system based on virtual trip lines and an associated cloaking technique, followed by another system design in which we relax the privacy requirements to maximize the accuracy of real-time Traffic estimation. We introduce virtual trip lines which are geographic markers that indicate where vehicles should provide speed updates. These markers are placed to avoid specific privacy sensitive locations. They also allow aggregating and cloaking several location updates based on trip line identifiers, without knowing the actual geographic locations of these trip lines. Thus, they facilitate the design of a distributed architecture, in which no single entity has a complete knowledge of probe identities and fine-grained location information. We have implemented the system with GPS smartphone clients and conducted a controlled experiment with 100 phone-equipped drivers circling a highway segment, which was later extended into a year-long public deployment.
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virtual trip lines for distributed privacy preserving Traffic Monitoring
International Conference on Mobile Systems Applications and Services, 2008Co-Authors: Baik Hoh, Marco Gruteser, Ryan Herring, Jeff Ban, Daniel B Work, Juancarlos Herrera, Alexandre M Bayen, Murali Annavaram, Quinn JacobsonAbstract:Automotive Traffic Monitoring using probe vehicles with Global Positioning System receivers promises significant improvements in cost, coverage, and accuracy. Current approaches, however, raise privacy concerns because they require participants to reveal their positions to an external Traffic Monitoring server. To address this challenge, we propose a system based on virtual trip lines and an associated cloaking technique. Virtual trip lines are geographic markers that indicate where vehicles should provide location updates. These markers can be placed to avoid particularly privacy sensitive locations. They also allow aggregating and cloaking several location updates based on trip line identifiers, without knowing the actual geographic locations of these trip lines. Thus they facilitate the design of a distributed architecture, where no single entity has a complete knowledge of probe identities and fine-grained location information. We have implemented the system with GPS smartphone clients and conducted a controlled experiment with 20 phone-equipped drivers circling a highway segment. Results show that even with this low number of probe vehicles, travel time estimates can be provided with less than 15% error, and applying the cloaking techniques reduces travel time estimation accuracy by less than 5% compared to a standard periodic sampling approach.
Baik Hoh - One of the best experts on this subject based on the ideXlab platform.
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enhancing privacy and accuracy in probe vehicle based Traffic Monitoring via virtual trip lines
IEEE Transactions on Mobile Computing, 2012Co-Authors: Baik Hoh, Marco Gruteser, Ryan Herring, Daniel B Work, Juancarlos Herrera, Alexandre M Bayen, Murali Annavaram, Quinn Jacobson, T Iwuchukwu, Jeff BanAbstract:Traffic Monitoring using probe vehicles with GPS receivers promises significant improvements in cost, coverage, and accuracy over dedicated infrastructure systems. Current approaches, however, raise privacy concerns because they require participants to reveal their positions to an external Traffic Monitoring server. To address this challenge, we describe a system based on virtual trip lines and an associated cloaking technique, followed by another system design in which we relax the privacy requirements to maximize the accuracy of real-time Traffic estimation. We introduce virtual trip lines which are geographic markers that indicate where vehicles should provide speed updates. These markers are placed to avoid specific privacy sensitive locations. They also allow aggregating and cloaking several location updates based on trip line identifiers, without knowing the actual geographic locations of these trip lines. Thus, they facilitate the design of a distributed architecture, in which no single entity has a complete knowledge of probe identities and fine-grained location information. We have implemented the system with GPS smartphone clients and conducted a controlled experiment with 100 phone-equipped drivers circling a highway segment, which was later extended into a year-long public deployment.
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virtual trip lines for distributed privacy preserving Traffic Monitoring
International Conference on Mobile Systems Applications and Services, 2008Co-Authors: Baik Hoh, Marco Gruteser, Ryan Herring, Jeff Ban, Daniel B Work, Juancarlos Herrera, Alexandre M Bayen, Murali Annavaram, Quinn JacobsonAbstract:Automotive Traffic Monitoring using probe vehicles with Global Positioning System receivers promises significant improvements in cost, coverage, and accuracy. Current approaches, however, raise privacy concerns because they require participants to reveal their positions to an external Traffic Monitoring server. To address this challenge, we propose a system based on virtual trip lines and an associated cloaking technique. Virtual trip lines are geographic markers that indicate where vehicles should provide location updates. These markers can be placed to avoid particularly privacy sensitive locations. They also allow aggregating and cloaking several location updates based on trip line identifiers, without knowing the actual geographic locations of these trip lines. Thus they facilitate the design of a distributed architecture, where no single entity has a complete knowledge of probe identities and fine-grained location information. We have implemented the system with GPS smartphone clients and conducted a controlled experiment with 20 phone-equipped drivers circling a highway segment. Results show that even with this low number of probe vehicles, travel time estimates can be provided with less than 15% error, and applying the cloaking techniques reduces travel time estimation accuracy by less than 5% compared to a standard periodic sampling approach.
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Enhancing security and privacy in Traffic-Monitoring systems
IEEE Pervasive Computing, 2006Co-Authors: Baik Hoh, Xiong Hui, Marco Gruteser, Ansaf AlrabadyAbstract:Intelligent transportation systems increasingly depend on probe vehicles to monitor Traffic: they can automatically report position, travel time, Traffic incidents, and road surface problems to a telematics service provider. This kind of Traffic-Monitoring system could provide good coverage and timely information on many more roadways than is possible with a fixed infrastructure such as cameras and loop detectors. This approach also promises significant reductions in infrastructure cost because the system can exploit the sensing, computing, and communications devices already installed in many modern vehicles. This architecture separates data from identities by splitting communication from data analysis. Data suppression techniques can help prevent data mining algorithms from reconstructing private information from anonymous database samples
