Identification of Road Section Congestion Influence
Based on Bijective Soft Decision Theory

doi:10.3969/j.issn.1674-0696.2021.06.02

Abstract

Abstract: In order to describe the impact of road section on the overall traffic, the congestion influence index and its calculation method were proposed, and a computing framework based on bijective soft decision theory and real-time road map data was established. Taking the Baidu real-time traffic map of Chongqings Four-Kilometer Interchange from December 9 to 31, 2018 as the sample sequence, a case study was carried out. The results show that the congestion influence index can be used to describe the important attributes of urban road traffic state; and through the discrete traffic state information in the real-time road map, the analysis framework of the bijective soft decision theory can quickly obtain the influence of road congestion, which can be used as a powerful supplement to identify the severity of road section congestion.

Key words: traffic engineering, urban road network management, real-time traffic map, road section congestion influence

摘要： 为了刻画路段对整体交通的影响，提出了拥堵影响力指标及其计算方法；建立了基于双射软决策理论和实时路况地图数据的计算框架；以重庆市四公里立交2018年12月9—31日的百度实时路况地图为样本序列进行了实例研究。结果表明：拥堵影响力指标可以用来描述城市路段交通状态的重要属性；根据实时路况地图中的离散化交通状态信息，应用双射软决策理论的分析框架能够迅速获取路段拥堵影响力，结果可作为识别路段拥堵严重程度的有力补充。

关键词: 交通工程, 城市路网管理, 实时路况地图, 路段拥堵影响力

CLC Number:

U121

XU Maozeng, ZHANG Li. Identification of Road Section Congestion Influence Based on Bijective Soft Decision Theory[J]. Journal of Chongqing Jiaotong University(Natural Science), 2021, 40(06): 7-11.

许茂增,张莉. 基于双射软决策理论的路段拥堵影响力识别[J]. 重庆交通大学学报（自然科学版）, 2021, 40(06): 7-11.

References

［1］尚玲宇，李卫东.北京市生态交通状况分析与评价［J］.生态经济，2019，35(7)：110-115.
SHANG Lingyu, LI Weidong. Analysis and evaluation of ecological traffic situation in Beijing ［J］. Ecological Economy, 2019,35(7): 110-115.
［2］李卫东.城市交通拥堵成因及治理研究［J］.合作经济与科技，2019，9：10-13.
LI Weidong. Research on causes and treatment of urban traffic congestion ［J］.Co-operative Economy & Science, 2019,9: 10-13.
［3］ SHEN Wei, ZHANG H M. On the morning commute problem in a corridor network with multiple bottlenecks: Its system-optimal traffic flow patterns and the realizing tolling scheme
［J］. Transportation Research Part B: Methodological, 2009, 43(3): 267-284.
［4］ DAVIS L C. Mitigation of congestion at a traffic bottleneck with diversion and lane restrictions［J］. Physical A: Statistical Mechanics and its Applications, 2012, 391(4): 1679-1691.
［5］ QI Hongsheng, CHEN Mengwei, WANG Dianhai. Recurrent and non-recurrent bottleneck analysis based on traffic state rank distribution［J］. Transportmetrica B: Transport
Dynamics, 2017, 7(1): 275-294.
［6］倪东生,张艳芳.现代化城市交通瓶颈的匹配性解决路径和机制［J］.物流技术，2015(34)：39-44.
NI Dongsheng, ZHANG Yanfang. Matching solutions and mechanism of modern urban traffic bottlenecks ［J］. Logistics Technology, 2015(34): 39-44.
［7］ WANG Ping, HAO Wenbang, SUN Zhu, et al. Regional detection of traffic congestion using in a large-scale surveillance system via deep residual TrafficNet ［J］. IEEE Access, 2018, 6:
68910-68919.
［8］ DEMISSIE M G, DE ALMEIDA CORREIA G H, BENTO C. Intelligent road traffic status detection system through cellular networks handover information: An exploratory study ［J］.
Transportation Research Part C: Emerging Technologies, 2013, 32: 76-88.
［9］ BAUZA R, GOZALVEZ J. Traffic congestion detection in large-scale scenarios using vehicle-to-vehicle communications ［J］. Journal of Network and Computer Applications, 2013, 36
(5): 1295- 1307.
［10］ YUAN Quan, LIU Zhihan, LI Jinglin, et al. A traffic congestion detection and information dissemination scheme for urban expressways using vehicular networks ［J］. Transportation
Research Part C: Emerging Technologies, 2014, 47: 114-127.
［11］ AHMAD M, CHEN Qingchun, KHAN Z, et al. Infrastructure-based vehicular congestion detection scheme for V2I ［J］. International Journal of Communication Systems, 2019, 32
(3):1-14.
［12］段后利，李志恒，李力，等.一种基于伪色彩图的网络交通状态观测分析方法［J］.交通运输系统工程与信息，2009，9(4)：46-52.
DUAN Houli, LI Zhiheng, LI Li, et al. Network-wide traffic state observation and analysis method using pseudo-color map［J］. Journal of Transportation Systems Engineering and
Information Technology, 2009,9(4): 46-52.
［13］ GONG Ke, XIAO Zhi, ZHANG Xia. The bijective soft set with its operations ［J］. Computers & Mathematics with Applications, 2010, 60(8): 2270-2278.
［14］ GONG Ke, WANG Yong, XU Maozeng, et al. BSSReduce an O(|U|) incremental feature selection approach for large-scale and high-dimensional data ［J］. IEEE Transactions on
Fuzzy Systems, 2018, 26(6): 3356-3367.

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Identification of Road Section Congestion Influence Based on Bijective Soft Decision Theory

基于双射软决策理论的路段拥堵影响力识别

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