A Sensor Network Architecture for Urban Traffic State Estimation with Mixed Eulerian/Lagrangian Sensing Based on Distributed Computing.
Edward S. CanepaEnas OdatAhmad H. DehwahMustafa MousaJiming JiangChristian G. ClaudelPublished in: ARCS (2014)
Keyphrases
- distributed computing
- network architecture
- state estimation
- urban traffic
- sensor networks
- traffic control
- kalman filter
- neural network
- multi sensor
- distributed environment
- cloud computing
- particle filter
- fault tolerance
- kalman filtering
- traffic flow
- neural network model
- distributed systems
- peer to peer
- dynamic systems
- real time
- virtual machine
- traffic congestion
- mobile agents
- sensor data
- traffic light
- particle filtering
- visual tracking
- wireless sensor networks
- autonomous vehicles
- fault tolerant
- optimal solution
- computer vision
- cooperative
- intelligent transportation systems
- cellular automata