The Research and Practice of Making Time Sequence of Urban Road Construction Based on Big Data - Taking Jinan as an Example

Lu Yuan; Liu Shicheng; Li Song; Lin Songtao

doi:doi:10.11648/j.ajtte.20210605.11

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The Research and Practice of Making Time Sequence of Urban Road Construction Based on Big Data - Taking Jinan as an Example

Lu Yuan, Liu Shicheng, Li Song, Lin Songtao

Published in American Journal of Traffic and Transportation Engineering (Volume 6, Issue 5)

Received: 11 August 2021 Accepted: 26 August 2021 Published: 11 September 2021

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Abstract

Urban roads are an important support for promoting urban economic development, and the situation of urban traffic operation especially urban traffic congestion depends on whether the construction of road network is reasonable. With the rapid development of multi-source data, it provides quantitative data support for the scientific compilation of urban road construction plans. Based on urban planning, this paper analyzes the travel characteristics of residents based on mobile phone data, and combines the road congestion data and road speed data, and uses professional traffic models to fully predict the future situation of urban traffic, thereby drawing the necessity of different roads construction, while providing reverse corrections for transportation planning. It proposed a research on urban road construction planning based on multi-source big data, to promote the healthy and sustainable development of road construction and improve the efficiency of the road construction fund. Taking the road construction planning research of Jinan City as an example, construct the transportation model, based on the phone data, congestion data, public transport data, and traffic police bayonet data for verification, it show the applicability of big data technology in urban road construction planning and promotes the practice of big data technology in the transportation field.

Published in	American Journal of Traffic and Transportation Engineering (Volume 6, Issue 5)
DOI	10.11648/j.ajtte.20210605.11
Page(s)	133-138
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Big Data, Urban Road Construction, Constructing Sequence, Traffic Demand

References

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[8]	Junqing Shi, Yongju Hu, Sulan Li, Zhiqiang Li, Xinhuan Zhang, Chengyuan Mao. Simulation and analysis of road construction traffic flow in urban road networks [J]. Advances in Mechanical Engineering, 2015, 7 (11).
[9]	Eul-Bum Lee, David Thomas, Loren Bloomberg. Planning Urban Highway Reconstruction with Traffic Demand Affected by Construction Schedule [J]. Journal of Transportation Engineering, 2005, 131 (10).
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APA Style

Lu Yuan, Liu Shicheng, Li Song, Lin Songtao. (2021). The Research and Practice of Making Time Sequence of Urban Road Construction Based on Big Data - Taking Jinan as an Example. American Journal of Traffic and Transportation Engineering, 6(5), 133-138. https://doi.org/10.11648/j.ajtte.20210605.11

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ACS Style

Lu Yuan; Liu Shicheng; Li Song; Lin Songtao. The Research and Practice of Making Time Sequence of Urban Road Construction Based on Big Data - Taking Jinan as an Example. Am. J. Traffic Transp. Eng. 2021, 6(5), 133-138. doi: 10.11648/j.ajtte.20210605.11

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AMA Style

Lu Yuan, Liu Shicheng, Li Song, Lin Songtao. The Research and Practice of Making Time Sequence of Urban Road Construction Based on Big Data - Taking Jinan as an Example. Am J Traffic Transp Eng. 2021;6(5):133-138. doi: 10.11648/j.ajtte.20210605.11

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@article{10.11648/j.ajtte.20210605.11,
  author = {Lu Yuan and Liu Shicheng and Li Song and Lin Songtao},
  title = {The Research and Practice of Making Time Sequence of Urban Road Construction Based on Big Data - Taking Jinan as an Example},
  journal = {American Journal of Traffic and Transportation Engineering},
  volume = {6},
  number = {5},
  pages = {133-138},
  doi = {10.11648/j.ajtte.20210605.11},
  url = {https://doi.org/10.11648/j.ajtte.20210605.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20210605.11},
  abstract = {Urban roads are an important support for promoting urban economic development, and the situation of urban traffic operation especially urban traffic congestion depends on whether the construction of road network is reasonable. With the rapid development of multi-source data, it provides quantitative data support for the scientific compilation of urban road construction plans. Based on urban planning, this paper analyzes the travel characteristics of residents based on mobile phone data, and combines the road congestion data and road speed data, and uses professional traffic models to fully predict the future situation of urban traffic, thereby drawing the necessity of different roads construction, while providing reverse corrections for transportation planning. It proposed a research on urban road construction planning based on multi-source big data, to promote the healthy and sustainable development of road construction and improve the efficiency of the road construction fund. Taking the road construction planning research of Jinan City as an example, construct the transportation model, based on the phone data, congestion data, public transport data, and traffic police bayonet data for verification, it show the applicability of big data technology in urban road construction planning and promotes the practice of big data technology in the transportation field.},
 year = {2021}
}

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TY  - JOUR
T1  - The Research and Practice of Making Time Sequence of Urban Road Construction Based on Big Data - Taking Jinan as an Example
AU  - Lu Yuan
AU  - Liu Shicheng
AU  - Li Song
AU  - Lin Songtao
Y1  - 2021/09/11
PY  - 2021
N1  - https://doi.org/10.11648/j.ajtte.20210605.11
DO  - 10.11648/j.ajtte.20210605.11
T2  - American Journal of Traffic and Transportation Engineering
JF  - American Journal of Traffic and Transportation Engineering
JO  - American Journal of Traffic and Transportation Engineering
SP  - 133
EP  - 138
PB  - Science Publishing Group
SN  - 2578-8604
UR  - https://doi.org/10.11648/j.ajtte.20210605.11
AB  - Urban roads are an important support for promoting urban economic development, and the situation of urban traffic operation especially urban traffic congestion depends on whether the construction of road network is reasonable. With the rapid development of multi-source data, it provides quantitative data support for the scientific compilation of urban road construction plans. Based on urban planning, this paper analyzes the travel characteristics of residents based on mobile phone data, and combines the road congestion data and road speed data, and uses professional traffic models to fully predict the future situation of urban traffic, thereby drawing the necessity of different roads construction, while providing reverse corrections for transportation planning. It proposed a research on urban road construction planning based on multi-source big data, to promote the healthy and sustainable development of road construction and improve the efficiency of the road construction fund. Taking the road construction planning research of Jinan City as an example, construct the transportation model, based on the phone data, congestion data, public transport data, and traffic police bayonet data for verification, it show the applicability of big data technology in urban road construction planning and promotes the practice of big data technology in the transportation field.
VL  - 6
IS  - 5
ER  -

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Author Information

Lu Yuan

Shandong Zhongxing Urban & Rural Transportation Research Consulting Co. Ltd, Jinan, China
Liu Shicheng

College of Science, Virginia Tech, Blacksburg, the United States
Li Song

Shandong Zhongxing Urban & Rural Transportation Research Consulting Co. Ltd, Jinan, China
Lin Songtao

Shandong Zhongxing Urban & Rural Transportation Research Consulting Co. Ltd, Jinan, China

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Plain Text BibTeX RIS

APA Style

Lu Yuan, Liu Shicheng, Li Song, Lin Songtao. (2021). The Research and Practice of Making Time Sequence of Urban Road Construction Based on Big Data - Taking Jinan as an Example. American Journal of Traffic and Transportation Engineering, 6(5), 133-138. https://doi.org/10.11648/j.ajtte.20210605.11

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ACS Style

Lu Yuan; Liu Shicheng; Li Song; Lin Songtao. The Research and Practice of Making Time Sequence of Urban Road Construction Based on Big Data - Taking Jinan as an Example. Am. J. Traffic Transp. Eng. 2021, 6(5), 133-138. doi: 10.11648/j.ajtte.20210605.11

Copy | Download

AMA Style

Lu Yuan, Liu Shicheng, Li Song, Lin Songtao. The Research and Practice of Making Time Sequence of Urban Road Construction Based on Big Data - Taking Jinan as an Example. Am J Traffic Transp Eng. 2021;6(5):133-138. doi: 10.11648/j.ajtte.20210605.11

Copy | Download

@article{10.11648/j.ajtte.20210605.11,
  author = {Lu Yuan and Liu Shicheng and Li Song and Lin Songtao},
  title = {The Research and Practice of Making Time Sequence of Urban Road Construction Based on Big Data - Taking Jinan as an Example},
  journal = {American Journal of Traffic and Transportation Engineering},
  volume = {6},
  number = {5},
  pages = {133-138},
  doi = {10.11648/j.ajtte.20210605.11},
  url = {https://doi.org/10.11648/j.ajtte.20210605.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20210605.11},
  abstract = {Urban roads are an important support for promoting urban economic development, and the situation of urban traffic operation especially urban traffic congestion depends on whether the construction of road network is reasonable. With the rapid development of multi-source data, it provides quantitative data support for the scientific compilation of urban road construction plans. Based on urban planning, this paper analyzes the travel characteristics of residents based on mobile phone data, and combines the road congestion data and road speed data, and uses professional traffic models to fully predict the future situation of urban traffic, thereby drawing the necessity of different roads construction, while providing reverse corrections for transportation planning. It proposed a research on urban road construction planning based on multi-source big data, to promote the healthy and sustainable development of road construction and improve the efficiency of the road construction fund. Taking the road construction planning research of Jinan City as an example, construct the transportation model, based on the phone data, congestion data, public transport data, and traffic police bayonet data for verification, it show the applicability of big data technology in urban road construction planning and promotes the practice of big data technology in the transportation field.},
 year = {2021}
}

Copy | Download

TY  - JOUR
T1  - The Research and Practice of Making Time Sequence of Urban Road Construction Based on Big Data - Taking Jinan as an Example
AU  - Lu Yuan
AU  - Liu Shicheng
AU  - Li Song
AU  - Lin Songtao
Y1  - 2021/09/11
PY  - 2021
N1  - https://doi.org/10.11648/j.ajtte.20210605.11
DO  - 10.11648/j.ajtte.20210605.11
T2  - American Journal of Traffic and Transportation Engineering
JF  - American Journal of Traffic and Transportation Engineering
JO  - American Journal of Traffic and Transportation Engineering
SP  - 133
EP  - 138
PB  - Science Publishing Group
SN  - 2578-8604
UR  - https://doi.org/10.11648/j.ajtte.20210605.11
AB  - Urban roads are an important support for promoting urban economic development, and the situation of urban traffic operation especially urban traffic congestion depends on whether the construction of road network is reasonable. With the rapid development of multi-source data, it provides quantitative data support for the scientific compilation of urban road construction plans. Based on urban planning, this paper analyzes the travel characteristics of residents based on mobile phone data, and combines the road congestion data and road speed data, and uses professional traffic models to fully predict the future situation of urban traffic, thereby drawing the necessity of different roads construction, while providing reverse corrections for transportation planning. It proposed a research on urban road construction planning based on multi-source big data, to promote the healthy and sustainable development of road construction and improve the efficiency of the road construction fund. Taking the road construction planning research of Jinan City as an example, construct the transportation model, based on the phone data, congestion data, public transport data, and traffic police bayonet data for verification, it show the applicability of big data technology in urban road construction planning and promotes the practice of big data technology in the transportation field.
VL  - 6
IS  - 5
ER  -

Copy | Download