Analysis of Congestion Problems at Green Dream Roundabout Intersection in Yubei District
DOI:
https://doi.org/10.54097/h2n1l8wcKeywords:
Traffic Congestion, Yubei District, Chongqing, Intelligent Transportation Big Data, RoundaboutAbstract
Traffic congestion can have a series of adverse effects: roads, highways, The traffic efficiency of highways and other transportation facilities is reduced, resulting in more serious traffic congestion; people's travel time becomes longer, a lot of time and energy are wasted, and daily work and life are affected; the risk of traffic accidents is increased, and the vehicles are dense when traffic congestion is dense, and traffic accidents are prone to occur; environmental pollution affects economic development; transportation costs are increased, and economic pressure is caused to enterprises and individuals, congestion has become a hot topic of discussion among the general public at present, especially in Chongqing, and solving traffic congestion is the urgent yearning of the people. Based on this background, this paper takes the traffic congestion at the intersection of Lvmeng Roundabout in Yubei District, Chongqing as the research object, and judges the traffic congestion level of the Lvmeng Roundabout intersection by referring to relevant domestic research articles and using intelligent traffic data to collect and analyze, and deeply analyzes the causes of traffic congestion at this intersection and gives a mitigation plan.
Downloads
References
HU Tao,LI Tong. Application of big data in intelligent transportation[J]. China Water Transportation,2019, No.639 (12): 64-65. DOI: 10.13646/j.cnki.42-1395/u. 2019. 12.027.
Sun Jiajun,Zhang Liang,Wang Jinglu. Exploration of traffic congestion mitigation methods based on big data[J]. Police Technology, 2015(03):18-20.
Li Yan. Research on the application of big data in urban traffic congestion mitigation[J]. Modern Information Technology, 2019,3 (04):114-115+117.
Du Wei. Research on traffic congestion level diagnosis and mitigation program for typical roads in Yubei urban area of Chongqing [D]. Chongqing Jiaotong University, 2019.DOI: 10. 27671/d.cnki.gcjtc.2019.000957.
Q.Q. Zhao,Y.P. Wang,J.M. Lei,B. Li. Real-time identification of road network traffic posture based on saturation[J]. Transportation Science and Engineering,2019,35(04): 104-110.DOI: 10.16544/j.cnki.cn43-1494/u.2019.04.017.
W. Chen, X. Yan, H. Pan, L. Deng, and B. Y. Wen. Research on regulatory evaluation of urban rail transit service quality[J]. Journal of Railway Science and Engineering,2018,15(12): 3288-3294. DOI: 10.19713/j.cnki.43-1423/u.2018.12.035.
Zongyin Luo, Xiangyu Chen, Le Song, Yaru Wang, Jiewei Kang. A secondary release method for elevated off-ramp intersections based on queue length detection [P]. Jiangsu Province: CN111932912A,2020-11-13.
Li Yanmei. Research on the impact of municipal road construction management on roadway capacity--Taking Mingxi County Industrial Concentration Zone Road as an example [J]. Construction and Budget,2021(11):122-124. DOI: 10. 13993/j.cnki.jzyys.2021.11.040.
XU Zhi-hong, GO Ruoyu. Optimization study on traffic organization of inlet channel of urban road planar intersection [J]. Urban Road and Bridge and Flood Control, 2023(01):45-47 +13. DOI:10. 16799/j. cnki. csdqyfh. 2023. 01. 012.
Our commentator. Continuously optimize the urban environment and traffic order[N]. Zhumadian Daily,2015-07-11 (001).
Downloads
Published
Issue
Section
License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

