A new approach to neural trip distribution models: NETDIM

Date

2009-01-01

Author

Tapkin, Serkan
Akyilmaz, Ozdemir

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

194
views

0
downloads

This paper develops and presents a new neural network approach to model trip distribution, which is one of the important phases of conventional four-step travel demand modelling. The trip distribution problem has been investigated using back-propagation artificial neural networks in a number of studies and it was concluded that back-propagation artificial neural networks underperform when compared to traditional models. Such underperformance is due to the thresholding of the linearly combined inputs by utilising a non-linear function and carrying out this operation both in hidden and output layers. The proposed neural trip distribution model does not threshold the linearly combined outputs from the hidden layer. This makes it different from back-propagation artificial neural networks where combined inputs from the hidden layer are activated once more in the output layer. In addition, the neuron in the output layer is used as a summation unit in contrast to the methodologies cited in the neural network applications literature. At the same time, the bias neuron is not connected to the output neuron in the output layer. When this model is compared with various approaches such as the gravity model, modular neural networks and back-propagation neural networks, it was concluded that this new model provides better prediction of trip distribution and therefore, outperforms all the existing approaches.

Subject Keywords

Geography, Planning and Development, Transportation

URI

https://hdl.handle.net/11511/66112

Journal

TRANSPORTATION PLANNING AND TECHNOLOGY

DOI

https://doi.org/10.1080/03081060902750710

Collections

Department of Civil Engineering, Article

Suggestions

OpenMETU
Core

A recommended neural trip distributon model Tapkın, Serkan; Akyılmaz, M. Özdemir; Department of Civil Engineering (2004) In this dissertation, it is aimed to develop an approach for the trip distribution element which is one of the important phases of four-step travel demand modelling. The trip distribution problem using back-propagation artificial neural networks has been researched in a limited number of studies and, in a critically evaluated study it has been concluded that the artificial neural networks underperform when compared to the traditional models. The underperformance of back-propagation artificial neural network...
A new methodology for evaluating coastal scenery: fuzzy logic systems Ergin, Ayşen; Micallef, A; Williams, AT (Wiley, 2004-12-01) Coastal scenery evaluated by utilization of selected landscape components was subjected to a fuzzy logic systems approach. Twenty-six top-rated parameters were identified from a literature search/questionnaire surveys carried out in Malta, Turkey and the UK and coastal scenery investigated at 57 sites. A coastal scenic evaluation checklist system was finalized and consisted of assessment parameters based on a five-point scale ranging from low to high attribute values. Coastal user parameter preferences and ...
A New Mathematical Approach in Environmental and Life Sciences: Gene-Environment Networks and Their Dynamics Weber, Gerhard Wilhelm; Alparslan-Gok, S. Z.; Soyler, B. (Springer Science and Business Media LLC, 2009-04-01) An important research area in life sciences is devoted to modeling, prediction, and dynamics of gene-expression patterns. As clearly understood in these days, this enterprise cannot become satisfactory without acknowledging the role of the environment. To a representation of past, present, and most likely future states, we also encounter measurement errors and uncertainties. This paper surveys and improves recent advances in understanding the foundations and interdisciplinary implications of the newly intro...
A parametric modeling study on distributed MEMS transmission lines Unlu, M; Topalli, K; Demir, S; Aydın Çivi, Hatice Özlem; Koc, S; Akın, Tayfun (2004-10-14) This paper presents a parametric study of a new model for the distributed MEMS transmission line (DMTL) structures. In this new model, the MEMS bridges which are used as the loading elements of the DMTL structures are represented as low-impedance transmission lines, rather than a lumped CLR circuit. The model also includes LC networks at the transition points from the MEMS bridges to the unloaded parts of the DMTL which are simply high-impedance transmission lines. These LC networks are employed to model th...
A new method to measure vehicle pass-by noise in a finite dimensioned semi-anechoic room Arslan, Ersen; Çalışkan, Mehmet; Department of Mechanical Engineering (2010) In this study, a method to predict vehicle pass-by noise in a finite dimensioned, semi-anechoic chamber with chassis dynamometer has been developed. Vehicle noise has been modeled as the summation of the individual contributions regarding the principal noise components, namely, engine including air intake, front tire and rear tire noises. This method employs wave propagation, Doppler shift, and time delay in the estimation of the sound pressure due to each component at points of interest specified by releva...

Citation Formats

S. Tapkin and O. Akyilmaz, “A new approach to neural trip distribution models: NETDIM,” TRANSPORTATION PLANNING AND TECHNOLOGY, pp. 93–114, 2009, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/66112.