Analysis on Characteristics of Bus Passenger Flow in Big Data Environment
Pages 8 - 13
Abstract
Analysis of passenger flow characteristics is an effective way to optimize travel structure and relieve traffic pressure. Through the idea of "big data", using multi-source data fusion technology, the passenger boarding station is matched, and the passenger travel OD matrix is derived based on the passenger getting off station model. The characteristics of bus passenger flow were analyzed from two levels of time and space. The travel data of different periods, weekdays and weekends were extracted from the time level, and the periodicity of passenger travel was analyzed visually. At the spatial level, OD matrix is combined to analyze the passenger flow distribution and site correlation. Based on this, the travel mode and distribution of residents are obtained, which is helpful for decision makers to carry out targeted planning and management.
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Index Terms
- Analysis on Characteristics of Bus Passenger Flow in Big Data Environment
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Published In
September 2022
454 pages
ISBN:9781450396875
DOI:10.1145/3565291
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Association for Computing Machinery
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Publication History
Published: 16 December 2022
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- Research-article
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- Refereed limited
Funding Sources
- Shandong Provincial Natural Foundation
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ICBDT 2022
ICBDT 2022: 2022 5th International Conference on Big Data Technologies
September 23 - 25, 2022
Qingdao, China
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