The Capacity of the Road Network: Data Collection and Statistical Analysis of Traffic Characteristics

Vladimir Shepelev, Sergei Aliukov, Kseniya Nikolskaya and Salavat Shabiev
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Vladimir Shepelev: Institute of Engineering and Technology, South Ural State University, 454080 Chelyabinsk, Russia
Sergei Aliukov: Institute of Engineering and Technology, South Ural State University, 454080 Chelyabinsk, Russia
Kseniya Nikolskaya: Institute of Engineering and Technology, South Ural State University, 454080 Chelyabinsk, Russia
Salavat Shabiev: Department of Architecture, South Ural State University, 454080 Chelyabinsk, Russia

Energies, 2020, vol. 13, issue 7, 1-18

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.

Keywords: fuzzy logic; congestion; cameras; traffic data; regression; prediction (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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