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A Traffic Density Estimation Model Based on Crowdsourcing Privacy Protection
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-03596-9_37openalex-snapshot
User Location Prediction in Mobile Crowdsourcing Services
inferredcites →https://doi.org/10.1007/s11227-018-2486-3openalex-snapshot
Privacy-aware task data management using TPR*-Tree for trajectory-based crowdsourcing
inferredcites →https://doi.org/10.1007/s11277-015-2392-4openalex-snapshot
A V2I-Based Real-Time Traffic Density Estimation System in Urban Scenarios
inferredcites →https://doi.org/10.1109/access.2018.2868610openalex-snapshot
Real-Time Android Application for Traffic Density Estimation
inferredcites →https://doi.org/10.1109/bigdata.2018.8622635openalex-snapshot
Truth Inference on Sparse Crowdsourcing Data with Local Differential Privacy
inferredcites →https://doi.org/10.1109/cvpr.1993openalex-snapshot
Proceedings of IEEE Conference on Computer Vision and Pattern Recognition
inferredcites →https://doi.org/10.1109/glocom.2015.7416965openalex-snapshot
Towards Preserving Worker Location Privacy in Spatial Crowdsourcing
inferredcites →https://doi.org/10.1109/igarss.2015.7326160openalex-snapshot
Vehicle detection and traffic density monitoring from very high resolution satellite video data
inferredcites →https://doi.org/10.1109/itsc.2016.7795611openalex-snapshot
Prediction of traffic density from wireless cellular data
inferredcites →https://doi.org/10.1109/jstars.2018.2879368openalex-snapshot
Urban Traffic Density Estimation Based on Ultrahigh-Resolution UAV Video and Deep Neural Network
inferredcites →https://doi.org/10.1109/tcst.2009.2014242openalex-snapshot
Modeling and Identification of Nonlinear Dynamics for Freeway Traffic by Using Information From a Mobile Cellular Network
inferredcites →https://doi.org/10.1109/tits.2012.2190509openalex-snapshot
Vehicular Traffic Density State Estimation Based on Cumulative Road Acoustics
inferredcites →https://doi.org/10.1109/tits.2017.2732029openalex-snapshot
Image-Based Learning to Measure Traffic Density Using a Deep Convolutional Neural Network
inferredcites →https://doi.org/10.1109/tsusc.2017.2733018openalex-snapshot
A K-Anonymity Based Schema for Location Privacy Preservation
inferredcites →https://doi.org/10.1109/tvt.2018.2803062openalex-snapshot
Reliable Traffic Density Estimation in Vehicular Network
inferredcites →https://doi.org/10.1109/wcnc.2018.8377050openalex-snapshot
PPDCA: Privacy-preserving crowdsensing data collection and analysis with randomized response
inferredcites →https://doi.org/10.1109/wowmom.2015.7158211openalex-snapshot
V2X data dissemination delay for vehicular traffic density estimations
inferredcites →https://doi.org/10.1145/1341012.1341062openalex-snapshot
Location anonymity in continuous location-based services
inferredcites →https://doi.org/10.1145/2623330openalex-snapshot
Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining
inferredcites →https://doi.org/10.1145/2901299openalex-snapshot
A Unified Point-of-Interest Recommendation Framework in Location-Based Social Networks
inferredcites →https://doi.org/10.1145/2996913.2997016openalex-snapshot
DNN-based prediction model for spatio-temporal data
inferredcites →https://doi.org/10.1145/3078847openalex-snapshot
A Multiagent-Based Approach for Vehicle Routing by Considering Both Arriving on Time and Total Travel Time
inferredcites →https://doi.org/10.1145/3191786openalex-snapshot
Detecting Urban Anomalies Using Multiple Spatio-Temporal Data Sources
inferredcites →https://doi.org/10.1145/3219819.3219887openalex-snapshot
Detecting Vehicle Illegal Parking Events using Sharing Bikes' Trajectories
inferredcites →https://doi.org/10.1145/3264961openalex-snapshot
Location Privacy-Preserving Data Recovery for Mobile Crowdsensing
inferredcites →https://doi.org/10.1609/aaai.v31i1.10735openalex-snapshot
Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.2139/ssrn.4591259openalex-extracted
A Novel Privacy-Aware Traffic Speed Prediction Model Based on Recurrent Neural Networks
inferred← citeshttps://doi.org/10.1007/s11227-025-06979-4openalex-snapshot
A novel geo-independent and privacy-preserved traffic speed prediction framework based on deep learning for intelligent transportation systems
inferred← citeshttps://doi.org/10.1016/j.cag.2025.104387openalex-snapshot
TransportMap: Visual transport analysis for spatiotemporal data without trajectory information
inferred← citeshttps://doi.org/10.1016/j.vehcom.2021.100332openalex-snapshot
SAMNET: Self-adaptative multi-kernel clustering algorithm for urban VANETs
inferred← citeshttps://doi.org/10.1109/icws62655.2024.00083openalex-snapshot
Timeliness-Selective Incentive Federated Crowdsourcing
inferred← citeshttps://doi.org/10.1109/iiceta50496.2020.9318825openalex-snapshot
A Review on Vehicle-to-Infrastructure Communication System: Requirement and Applications
inferred← citeshttps://doi.org/10.1109/tetci.2024.3423346openalex-snapshot
TiFedCrowd: Federated Crowdsourcing With Time-Controlled Incentive
inferred← citeshttps://doi.org/10.1109/tits.2023.3254370openalex-snapshot
Privacy and Accuracy for Cloud-Fog-Edge Collaborative Driver-Vehicle-Road Relation Graphs
inferred← citeshttps://doi.org/10.1145/3803794openalex-snapshot
Towards Evolutionary Differential Privacy in Cross-Platform Spatial Crowdsourcing
inferred← citeshttps://doi.org/10.1177/03611981221096117openalex-snapshot
Identifying High-accuracy Regions in Traffic Camera Images to Enhance the Estimation of Road Traffic Metrics: A Quadtree-based Method
inferred← citeshttps://doi.org/10.3390/electronics12040917openalex-snapshot
Effective and Privacy-Preserving Estimation of the Density Distribution of LBS Users under Geo-Indistinguishability
inferred← citeshttps://doi.org/10.3390/su141811461openalex-snapshot
Crowdsourcing Public Engagement for Urban Planning in the Global South: Methods, Challenges and Suggestions for Future Research
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