Deconstruction of the Optimal Design of Urban Road Interchange Based on the Integration of Smart Transportation and Big Data

Author:

Zhang Jiyong12,Yang Yukui12,Chu Lijing12ORCID,Chen Shiliang3,Bian Wenchao4,Ling Meining12,Li Shengfu5

Affiliation:

1. Guangzhou Urban Planning & Design Survey Research Institute, Guangzhou, Guangdong 510060, China

2. Guangdong Enterprise Key Laboratory for Urban Sensing, Monitoring and Early Warning, Guangzhou, Guangdong 510060, China

3. Production & Technology Department, Guangzhou Municipal Group Co., Ltd, Guangzhou, Guangdong 410060, China

4. Guicheng Transportation Service Institute of Nanhai District Transportation Bureau, Foshan, Guangdong 528253, China

5. Guangzhou Municipal Engineering Design & Research Institute Co., Ltd, Guangzhou, Guangdong 510060, China

Abstract

Urban interchange is the core hub connecting various regions, and it is of great significance for alleviating the problem of traffic congestion. In the process of urban interchange design, it is impossible to strictly control the traffic volume, interchange types, and standards by relying on traditional technologies. Smart transportation and big data are emerging technologies based on data, which can provide technical support for design and decision making. Based on this, this paper first uses smart transportation and big data technology to predict the traffic volume of Nancheng New District, so as to calculate the future development trend of the target area. Then, on the basis of traffic volume, the article uses smart transportation and big data technology to optimize the original urban interchange design scheme from the aspects of traffic capacity, safety, economic benefits, and environmental benefits. Finally, the article evaluates the optimized urban interchange scheme by means of comprehensive quantitative indicators and evaluation methods. Experiments show that the traffic capacity of the interchange on the outer ring road optimized by smart transportation and big data has increased to 72.6%, and the environmental coordination has increased from 45.2% to 55.2%. Moreover, the design aesthetics of the urban interchange after optimized design based on smart transportation and big data has increased to 65.9%. In addition, the comprehensive evaluation value of the urban interchange after optimization of smart transportation and big data reached 82.6. This fully shows that the optimal design of urban interchange based on the integration of smart transportation and big data can greatly improve the traffic capacity of urban roads.

Funder

Guangdong Enterprise Key Laboratory for Urban Sensing, Monitoring and Early Warning

Publisher

Hindawi Limited

Subject

General Mathematics,General Medicine,General Neuroscience,General Computer Science

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