TY  - GEN
A1  - Waldrip, Steven H.
A1  - Niven, Robert K.
A1  - Abel, Markus
A1  - Schlegel, Michael
T1  - Consistent maximum entropy representations of pipe flow networks
T2  - AIP conference proceedings
N2  - The maximum entropy method is used to predict flows on water distribution networks. This analysis extends the water distribution network formulation of Waldrip et al. (2016) Journal of Hydraulic Engineering (ASCE), by the use of a continuous relative entropy defined on a reduced parameter set. This reduction in the parameters that the entropy is defined over ensures consistency between different representations of the same network. The performance of the proposed reduced parameter method is demonstrated with a one-loop network case study.
Y1  - 2017
SN  - 978-0-7354-1527-0
U6  - https://doi.org/10.1063/1.4985365
SN  - 0094-243X
VL  - 1853
IS  - 1
PB  - American Institute of Physics
CY  - Melville
ER  - 
TY  - GEN
A1  - Waldrip, Steven H.
A1  - Niven, Robert K.
A1  - Abel, Markus
A1  - Schlegel, Michael
T1  - Maximum entropy analysis of transport networks
T2  - AIP conference proceedings
N2  - The maximum entropy method is used to derive an alternative gravity model for a transport network. The proposed method builds on previous methods which assign the discrete value of a maximum entropy distribution to equal the traffic flow rate. The proposed method however, uses a distribution to represent each flow rate. The proposed method is shown to be able to handle uncertainty in a more elegant way and give similar results to traditional methods. It is able to incorporate more of the observed data through the entropy function, prior distribution and integration limits potentially allowing better inferences to be made.
Y1  - 2017
SN  - 978-0-7354-1527-0
U6  - https://doi.org/10.1063/1.4985364
SN  - 0094-243X
VL  - 1853
IS  - 1
PB  - American Institute of Physics
CY  - Melville
ER  -