Problem of Transport Network Analysis for Identifying Bottlenecks
Journal Title: Scholars Journal of Engineering and Technology - Year 2016, Vol 4, Issue 5
Abstract
Abstract:The analysis was done and an algorithm was developed for calculating a route in the urban transport network. Based on the input data, this algorithm determines the capability to pass the given flow between two points during the time, not exceeding the given one, by calculating the travel time by alternative routes. The algorithm is based on the determination of the shortest path in the directed multigraph. The calculation results are given for different routes, obtained using the developed program. Keywords:The road network of the city, Model of road network, Flow data, Bandwidth, Crossroads, A directed multigraph.
Authors and Affiliations
А. Т. Аkhmediyarova . , I. Т. Utepbergenov . , Sh. N. Sagindykova . , , J. R. Кuandykova .
Effect of Concrete Strength on the Size Effect of Reinforced Concrete Circular Column Confined By GFRP Sheet
Abstract:The finite element analysis by ANSYS finite element software is carried out on the three kinds of concrete strength specimens to explore the influence of concrete strength on the size effect of reinforced concre...
Encryption Method of Gray Image Based on BP Neural Network
At present, the problem that exists in the gray image encryption is easy to be cracked. Aiming at it, this paper proposes a kind of encryption method based on BP neural network. This method uses the very strong nonlinear...
Sniper: A search engine for domain semantic knowledge
This paper presents Sniper, a knowledge-based computer field search engine in Semantic Web. Sniper takes WordNet as background ontology and integrates the entities in the semantic documents by mapping them to the synsets...
Morphological recognition optimization of 3D building simplification by Delaunay algorithm
Focusing on the deficiencies in the application of standard Delaunay algorithm during three dimensional building simplification, based on morphological recognition, 3D building simplification model was proposed by search...
Using MATLAB to achieve improved BP neural network model of remote sensing image classification
Application of improved BP neural network (NN) model to research the ETM + remote sensing (RS) data classification. Select six of LANDSAT 7 ETM + multi-spectral bands as the data source, through read the six ETM image re...