Ms. Xixi Yang Profile

Xixi Yang

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Proceedings Article | 21 November 2022 Paper

Data-driven study of transit and bicycle interchange

Fei Wu, Meng Zhang, Mengmeng Zhang, Xixi Yang

Proceedings Volume 12340, 123400T (2022) https://doi.org/10.1117/12.2652756

KEYWORDS: Data acquisition, Data modeling, Analytical research, Visualization, Visual analytics, Statistical analysis, Spatial analysis

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With the increasingly serious urban congestion problem, the government launched the concept of green transportation, and bike-sharing came into being. However, at present, less consideration is given to bike-sharing in urban planning, which leads to insufficient supply in bike-sharing during the peak period and serious accumulation after the peak period. Seriously hindered the development of slow bus integration. In order to better develop green transportation and promote the healthy and sustainability of travelers. By fusing GPS data and credit card data, this paper puts forward a bus stop derivation rule based on development of urban ground transportation system, supplements the bus stop information, and identifies the transfer behavior between bus and bike-sharing based on the transfer model. Finally, taking Beiguan North Station and Beitan Station of Jinan Beiyuan Street as examples, the influence of built environment on the transfer between public transport and bike-sharing is analyzed. The results show that the transfer volume in bike-sharing is highly positively correlated with the single functional area of residential area, commuting/general studies, leisure and entertainment, and strongly correlated with residential-other, commuting/general studies-leisure and entertainment, leisure and entertainment-other and mixed functional areas.

Proceedings Article | 21 November 2022 Paper

New expressway emergency rescue system

Xixi Yang, Meng Zhang, Qingjun Ju

Proceedings Volume 12340, 123402O (2022) https://doi.org/10.1117/12.2652733

KEYWORDS: Roads, Statistical analysis, Safety, LED displays, Cameras, Standards development, Sensors, Control systems, Electromagnetism

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From the early stage of highway construction to now, emergency rescue has always been of great significance to ensure the safety of life and property of drivers and passengers. By summarizing the research on the existing expressway emergency rescue system and comprehensively considering the state of drivers and passengers after an accident on the expressway, a new expressway emergency rescue system with "1 + 1" mode is designed, and the field test has been started. The system can make full use of the waiting time for rescue, use big data and Internet of things technology to realize the early warning of upstream vehicles, provide reference for rescue deployment, and help to improve the survival rate of the wounded and reduce the occurrence of secondary accidents.

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