Privacy-Preserving and Real-Time Detection of Vehicular Congestion Using Multilayer Perceptron Approach for Internet of Vehicles.
Yongbiao LiDehua ZhouYanling LiJian WengMeng SunYe YangMing LiPublished in: IEEE Trans. Veh. Technol. (2022)
Keyphrases
- privacy preserving
- multilayer perceptron
- real time
- traffic density
- vehicle detection
- vehicular traffic
- traffic congestion
- intelligent transportation systems
- traffic flow
- privacy preserving data mining
- traffic jams
- neural network
- radial basis function
- artificial neural networks
- privacy preservation
- vertically partitioned data
- back propagation
- travel time
- traffic information
- multi party
- sensitive information
- road network
- data perturbation
- privacy sensitive
- privacy concerns
- private information
- neural network model
- horizontally partitioned data
- secure multiparty computation
- data sets
- data privacy
- privacy protection
- traffic light
- traffic management
- autonomous vehicles
- preserving privacy
- sensitive data
- partitioned data
- control system
- differential privacy
- urban areas
- scalar product
- third party
- data management
- wireless sensor networks