LAPSE:2023.22533v1
Published Article

LAPSE:2023.22533v1
The Capacity of the Road Network: Data Collection and Statistical Analysis of Traffic Characteristics
March 24, 2023
Abstract
The possibilities of collecting the necessary information using multi-touch cameras and ways to improve road traffic data collection are considered. An increase in the number of vehicles leads to traffic jams, which in turn leads to an increase in travel time, additional fuel consumption and other negative consequences. To solve this problem, it is necessary to have a reliable information collection system and apply modern effective methods of processing the collected information. The technology considered in the article allows taking into account pedestrians crossing the intersection. The purpose of this article is to determine the most important traffic characteristics that affect the traffic capacity of the intersection, in other words, the actual number of passing cars. Throughput is taken as a dependent variable. Based on the results of the regression analysis, a model was developed to predict the intersection throughput taking into account the most important traffic characteristics. Besides, this model is based on the fuzzy logic method and using the Fuzzy TECH 5.81d Professional Edition computer program.
The possibilities of collecting the necessary information using multi-touch cameras and ways to improve road traffic data collection are considered. An increase in the number of vehicles leads to traffic jams, which in turn leads to an increase in travel time, additional fuel consumption and other negative consequences. To solve this problem, it is necessary to have a reliable information collection system and apply modern effective methods of processing the collected information. The technology considered in the article allows taking into account pedestrians crossing the intersection. The purpose of this article is to determine the most important traffic characteristics that affect the traffic capacity of the intersection, in other words, the actual number of passing cars. Throughput is taken as a dependent variable. Based on the results of the regression analysis, a model was developed to predict the intersection throughput taking into account the most important traffic characteristics. Besides, this model is based on the fuzzy logic method and using the Fuzzy TECH 5.81d Professional Edition computer program.
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Keywords
cameras, congestion, fuzzy logic, prediction, regression, traffic data
Suggested Citation
Shepelev V, Aliukov S, Nikolskaya K, Shabiev S. The Capacity of the Road Network: Data Collection and Statistical Analysis of Traffic Characteristics. (2023). LAPSE:2023.22533v1
Author Affiliations
Shepelev V: Institute of Engineering and Technology, South Ural State University, 454080 Chelyabinsk, Russia [ORCID]
Aliukov S: Institute of Engineering and Technology, South Ural State University, 454080 Chelyabinsk, Russia
Nikolskaya K: Institute of Engineering and Technology, South Ural State University, 454080 Chelyabinsk, Russia
Shabiev S: Department of Architecture, South Ural State University, 454080 Chelyabinsk, Russia
Aliukov S: Institute of Engineering and Technology, South Ural State University, 454080 Chelyabinsk, Russia
Nikolskaya K: Institute of Engineering and Technology, South Ural State University, 454080 Chelyabinsk, Russia
Shabiev S: Department of Architecture, South Ural State University, 454080 Chelyabinsk, Russia
Journal Name
Energies
Volume
13
Issue
7
Article Number
E1765
Year
2020
Publication Date
2020-04-07
ISSN
1996-1073
Version Comments
Original Submission
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PII: en13071765, Publication Type: Journal Article
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LAPSE:2023.22533v1
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https://doi.org/10.3390/en13071765
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Mar 24, 2023
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