ASSESSMENT OF THE CAPACITY OF A SITE OF THE ROAD NETWORK BY APPLYING THE ENTROPY MAXIMIZATION MODEL
Оценка пропускной способности участка дорожной сети с применением модели максимизации энтропии
2023-12-19
SCID: 54.1/wgmav87j
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correspondence matrixentropy maximization modelroad network capacitytraffic flow intensityurban traffic control
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Abstract (AI)
The article assesses the capacity of a section of the road network using an entropy maximization model. The purpose of this study is to evaluate the correspondence matrix using the entropy model using the example of a specific section of the road network (Moskovskaya St. and Glinki St., Angarsk). The initial data of the model is processed in accordance with the encoding of the directions of movement at the intersection, which is used to simplify the input of field measure-ments of traffic flow intensity. As part of the research, the correspondence matrix is used in the development and changes of the local traffic intensity control scheme, the introduction of bans and for prompt response to the redistribution of traffic flow in within the urban space
Key Findings
1
Field measurements of traffic intensity are simplified by encoding movement directions at the intersection before processing model inputs.
2
The approach enables prompt responses to traffic-flow redistribution within urban space.
3
The correspondence matrix supports developing and modifying local traffic-intensity control schemes, including traffic restrictions.
4
The model evaluates a correspondence matrix representing traffic flows across the studied road-network section.
5
The study assesses road-network section capacity using an entropy maximization model applied to Moskovskaya and Glinki Streets in Angarsk.
Research Object
a section of the urban road network at the intersection of Moskovskaya Street and Glinki Street in Angarsk
Research Subject
the section’s traffic capacity and the correspondence matrix describing traffic-flow redistribution under local traffic-control changes
Publication Details
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2023-12-19
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