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1.
Management of traffic congestion in urban areas
Vilibald Premzl, 2000, pregledni znanstveni članek

Opis: The use of road vehicles is increasing, the benefits they afford have been progressively diminished by external costs. Whereas traffic increases as we approach the centre, the road and open space decreases. The greater specialisation allows the city growth in size and in traffic attraction. In this way urban growth feeds itself. Inter-urban transport facilities also become more extensive. Growth in size of the city generates greater amounts of traffic and can eventually give rise to agglomeration diseconomies. Higher transport costs, offices and shops, attracted by the accessibility of central locations, gradually replace residential uses, people being forced to seek housing in the suburbs. As the urban area expands and offices in the city centre are built denser and higher, traffic congestion increases. This may result in the fall in central land values, since accessibility diminishes with the saturation of transport network. Increased pollution takes various forms as noise, smoke and overcrowded housing in the centre, urban decay in the transitional zone as commercial development is anticipated.
Ključne besede: road traffic, urban traffic, city growth, traffic congestion
Objavljeno v DKUM: 02.06.2017; Ogledov: 1497; Prenosov: 230
.pdf Celotno besedilo (1,96 MB)
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2.
Incorporation of duffing oscillator and Wigner-Ville distribution in traffic flow prediction
Anamarija L. Mrgole, Drago Sever, 2017, izvirni znanstveni članek

Opis: The main purpose of this study was to investigate the use of various chaotic pattern recognition methods for traffic flow prediction. Traffic flow is a variable, dynamic and complex system, which is non-linear and unpredictable. The emergence of traffic flow congestion in road traffic is estimated when the traffic load on a specific section of the road in a specific time period is close to exceeding the capacity of the road infrastructure. Under certain conditions, it can be seen in concentrating chaotic traffic flow patterns. The literature review of traffic flow theory and its connection with chaotic features implies that this kind of method has great theoretical and practical value. Researched methods of identifying chaos in traffic flow have shown certain restrictions in their techniques but have suggested guidelines for improving the identification of chaotic parameters in traffic flow. The proposed new method of forecasting congestion in traffic flow uses Wigner-Ville frequency distribution. This method enables the display of a chaotic attractor without the use of reconstruction phase space.
Ključne besede: road traffic, congestion prediction, dynamic system, Wigner-Ville distribution, chaotic identification pattern
Objavljeno v DKUM: 02.06.2017; Ogledov: 1395; Prenosov: 401
.pdf Celotno besedilo (2,57 MB)
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