|An Agent-Based Controller for Vehicular Automation|
|Feng He; Fei-Yue Wang; Shuming Tang
|Conference Name||The Proceedings of the 9th IEEE International Conference on Intelligent Transportation Systems
|Source Publication||IEEE INTELLIGENT SYSTEMS
|Conference Date||September 17-20, 2006
|Conference Place||Toronto, Canada
|Abstract||In this paper, we present a design of controller for vehicular automation based on mobile agent technology. In this approach, the control goal is conducted by coordinating active or default agents based on sensory feedback and vehicle conditions. A hosting mechanism determines which agent has the right to control the vehicle and make the decision. Those agents are divided into two groups: default agents which are developed by fuzzy rules, and active agents which are produced by neural networks. Fuzzy agents locate in the vehicle and neural network agents locate in remote server. Two types of agents have similar function but different performance, so those agents produced by neural network can transfer back to the vehicle after learning to replace default fuzzy agents according to mobile agent technology. The performance of the proposed technique is illustrated by simulation studies of a vehicle longitudinal control system|
|Corresponding Author||Feng He|
Feng He,Fei-Yue Wang,Shuming Tang. An Agent-Based Controller for Vehicular Automation[C],2006.
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