The Experts below are selected from a list of 12 Experts worldwide ranked by ideXlab platform

Hans Hellendoorn - One of the best experts on this subject based on the ideXlab platform.

  • Optimal coordination of Variable speed limits to suppress shock waves
    42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2003
    Co-Authors: Andreas Hegyi, Bart De Schutter, Hans Hellendoorn
    Abstract:

    We present a model predictive control (MPC) approach to optimally coordinate Variable speed limits for free-way traffic. In particular, we consider Discrete-Valued Variable speed limits. Moreover, we also impose a safety constraint that prevents drivers from encountering speed limit drops larger than, say, 10 km/h. The control objective is to minimize the total time that vehicles spend in the network. This approach results in dynamic speed limits that reduce or even eliminate shock waves.

Rodney M. Goodman - One of the best experts on this subject based on the ideXlab platform.

  • Incremental learning with rule-based neural networks
    IJCNN-91-Seattle International Joint Conference on Neural Networks, 1
    Co-Authors: Charles M. Higgins, Rodney M. Goodman
    Abstract:

    A classifier for Discrete-Valued Variable classification problems is presented. The system utilizes an information-theoretic algorithm for constructing informative rules from example data. These rules are then used to construct a neural network to perform parallel inference and posterior probability estimation. The network can be grown incrementally, so that new data can be incorporated without repeating the training on previous data. It is shown that this technique performs as well as other techniques such as backpropagation while having unique advantages in incremental learning capability, training efficiency, knowledge representation, and hardware implementation suitability. >

Andreas Hegyi - One of the best experts on this subject based on the ideXlab platform.

  • Optimal coordination of Variable speed limits to suppress shock waves
    42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2003
    Co-Authors: Andreas Hegyi, Bart De Schutter, Hans Hellendoorn
    Abstract:

    We present a model predictive control (MPC) approach to optimally coordinate Variable speed limits for free-way traffic. In particular, we consider Discrete-Valued Variable speed limits. Moreover, we also impose a safety constraint that prevents drivers from encountering speed limit drops larger than, say, 10 km/h. The control objective is to minimize the total time that vehicles spend in the network. This approach results in dynamic speed limits that reduce or even eliminate shock waves.

Charles M. Higgins - One of the best experts on this subject based on the ideXlab platform.

  • Incremental learning with rule-based neural networks
    IJCNN-91-Seattle International Joint Conference on Neural Networks, 1
    Co-Authors: Charles M. Higgins, Rodney M. Goodman
    Abstract:

    A classifier for Discrete-Valued Variable classification problems is presented. The system utilizes an information-theoretic algorithm for constructing informative rules from example data. These rules are then used to construct a neural network to perform parallel inference and posterior probability estimation. The network can be grown incrementally, so that new data can be incorporated without repeating the training on previous data. It is shown that this technique performs as well as other techniques such as backpropagation while having unique advantages in incremental learning capability, training efficiency, knowledge representation, and hardware implementation suitability. >

Bart De Schutter - One of the best experts on this subject based on the ideXlab platform.

  • Optimal coordination of Variable speed limits to suppress shock waves
    42nd IEEE International Conference on Decision and Control (IEEE Cat. No.03CH37475), 2003
    Co-Authors: Andreas Hegyi, Bart De Schutter, Hans Hellendoorn
    Abstract:

    We present a model predictive control (MPC) approach to optimally coordinate Variable speed limits for free-way traffic. In particular, we consider Discrete-Valued Variable speed limits. Moreover, we also impose a safety constraint that prevents drivers from encountering speed limit drops larger than, say, 10 km/h. The control objective is to minimize the total time that vehicles spend in the network. This approach results in dynamic speed limits that reduce or even eliminate shock waves.