Development of an Adaptive Workload Management System Using the Queueing Network-Model Human Processor (QN-MHP)

@article{Wu2008DevelopmentOA,
  title={Development of an Adaptive Workload Management System Using the Queueing Network-Model Human Processor (QN-MHP)},
  author={Changxu Wu and Omer Tsimhoni and Yili Liu},
  journal={IEEE Transactions on Intelligent Transportation Systems},
  year={2008},
  volume={9},
  pages={463-475}
}
The risk of vehicle collisions significantly increases when drivers are overloaded with information from in-vehicle systems. One of the solutions to this problem is developing adaptive workload management systems (AWMSs) to dynamically control the rate of messages from these in-vehicle systems. However, existing AWMSs do not use a model of the driver cognitive system to estimate workload and only suppress or redirect in-vehicle system messages, without changing their rate based on driver… CONTINUE READING
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