Journal of Guangxi Normal University(Natural Science Edition) ›› 2024, Vol. 42 ›› Issue (1): 28-38.doi: 10.16088/j.issn.1001-6600.2023032401

Previous Articles     Next Articles

Traffic Risk Assessment Method under Road Congestion Based on Improved DEMATEL-ISM Model

WANG Cui1, SONG Yongchao1*, WU Linjian2,3, ZHAO Xueting4   

  1. 1. School of Traffic & Transportation, Chongqing Jiaotong University, Chongqing 400074, China;
    2. National Inland Waterway Regulation Engineering Research Center (Chongqing Jiaotong University) Chongqing 400074, China;
    3. School of River & Ocean Engineering, Chongqing Jiaotong University, Chongqing 400074, China;
    4. Faculty of Transportation Engineering, Kunming University of Science and Technology, Kunming Yunnan 650500, China
  • Received:2023-03-24 Revised:2023-06-26 Online:2024-01-25 Published:2024-01-19

PDF (PC)

324

Abstract: In order to accurately identify the internal relationship between various influencing factors and the key factors in the driving risk system under urban road congestion conditions, an improved DEMATEL-ISM evaluation method is proposed. Firstly, the traffic risk under the condition of urban road congestion is analyzed, and 18 risk factors are selected. Secondly, a traffic risk assessment model of road congestion is established by using the questionnaire method of multi-group inquiry and the improvement of the standard integrated decision Test and evaluation laboratory (DEMATEL) and the interpretive structure model (ISM) combined with the maximum inter-class variance method. Finally, the results of example verification show that the driving risk assessment system based on the improved DEMATEL-ISM method can accurately divide the levels of the hierarchical interpretation structure chart, and is more realistic compared with other methods. Key link factors such as traffic density, headway, stopping times and lane change frequency have a strong linkage effect on other factors, which will increase the probability of traffic accidents or secondary traffic congestion.

Key words: urban traffic, road congestion, driving risk, risk assessment, DEMATEL-ISM, maximum inter-class variance method

CLC Number:  U492.8
[1] 孙智诚, 朱彤, 邓雷, 等.拥堵条件下驾驶人群体重复换道博弈的仿真研究[J].交通信息与安全, 2018, 36(5): 67-74.DOI: 10.3963/j.issn.1674-4861.2018.05.009.
[2] 曹堉, 王成, 杨岳铭, 等.基于贝叶斯网络的城市道路交通拥堵多原因自动实时识别[J].公路交通科技, 2020, 37(11): 89-97.DOI: 10.3969/j.issn.1002-0268.2020.11.012.
[3] 杨珍珍.基于拥堵传播规律的交通事件信息发布方法[J].公路交通科技, 2019, 36(5): 121-129, 137.DOI: 10.3969/j.issn.1002-0268.2019.05.017.
[4] 张伟健, 邴其春, 沈富鑫, 等.城市快速路路段行程时间估计方法[J].广西师范大学学报(自然科学版), 2023, 41(2): 49-57.DOI: 10.16088/j.issn.1001-6600.2022032504.
[5] 李泽钧, 邸小建, 翁剑成, 等.基于拥堵时空特征的区域分类与评价方法研究[J].公路交通科技, 2019, 36(2): 121-127.DOI: 10.3969/j.issn.1002-0268.2019.02.016.
[6] 邵长桥, 郑加菊.基于运行效率的交通拥堵度量和评价方法[J].北京工业大学学报, 2022, 48(4): 401-407.DOI: 10.11936/bjutxb2020120006.
[7] TAREK Z, AL-RAHMAWY M, TOLBA A. Fog computing for optimized traffic control strategy[J]. Journal of Intelligent and Fuzzy Systems, 2019, 36(2): 1401-1415. DOI: 10.3233/JIFS-18077.
[8] 刘伟铭, 陈纲梅, 林观荣, 等.高速公路收费站与衔接信号交叉口协调控制研究[J].广西师范大学学报(自然科学版), 2019, 37(4): 16-26.DOI: 10.16088/j.issn.1001-6600.2019.04.002.
[9] 胡立伟, 杨锦青, 何越人, 等.基于改进BP神经网络的城市交通拥塞环境下车辆运行风险识别研究[J].公路交通科技, 2019, 36(10): 105-113.DOI: 10.3969/j.issn.1002-0268.2019.10.014.
[10] LI Y, HU Y, ZHANG X G, et al. An evidential DEMATEL method to identify critical success factors in emergency management[J]. Applied soft Computing, 2014, 22: 504-510. DOI: 10.1016/j.asoc.2014.03.042.
[11] LO C C, CHEN W J. A hybrid information security risk assessment procedure considering interdependences between controls[J]. Expert Systems with Applications, 2012, 39(1): 247-257. DOI: 10.1016/j.eswa.2011.07.015.
[12] ALKHATIB S F, DARLINGTON R, YANG Z L, et al. A novel technique for evaluating and selecting logistics service providers based on the logistics resource view[J]. Expert Systems with Applications, 2015, 42(20): 6976-6989. DOI: 10.1016/j.eswa.2015.05.010.
[13] SHAFIEE M, LOTFI F H, SALEH H. Supply chain performance evaluation with data envelopment analysis and balanced scorecard approach[J]. Applied Mathematical Modelling, 2014, 38(21/22): 5092-5112. DOI: 10.1016/j.apm.2014.03.023.
[14] 方叶祥, 杜和祥, 甘平.基于Tsallis相对熵的DEMATEL阈值确定研究[J].工程数学学报, 2023, 40(2): 207-218.DOI: 10.3969/j.issn.1005-3085.2023.02.003.
[15] 孙昊, 魏云凤, 罗石贵, 等.基于动态限速的高速公路拥堵管控策略研究[J].公路, 2022, 67(7): 293-299.
[16] 孙永河, 韩玮, 段万春.复杂系统DEMATEL算法研究进展评述[J].控制与决策, 2017, 32(3): 385-392.DOI: 10.13195/j.kzyjc.2016.0823.
[17] 王勋, 李廷会, 潘骁, 等.基于改进模糊C均值聚类与Otsu的图像分割方法[J].广西师范大学学报(自然科学版), 2019, 37(4): 68-73.DOI: 10.16088/j.issn.1001-6600.2019.04.008.
[18] LI C W, TZENG G H. Identification of a threshold value for the DEMATEL method using the maximum mean de-entropy algorithm to find critical services provided by a semiconductor intellectual property mall[J]. Expert Systems with Applications, 2009, 36(6): 9891-9898. DOI: 10.1016/j.eswa.2009.01.073.
[19] 薛伟, 耿志伟, 王海滨, 等.集成DEMATEL/ISM的木材产业园消防风险影响因素研究[J].南开大学学报(自然科学版), 2019, 52(6): 99-104.
[1] ZHOU Pengfei, LIU Lin, YANG Jinfan, LIU Tingting, WEI Guiyu, ZHOU Ruliang. Analysis on Spatial Distribution and Harm of Bats in Yunnan Province Based on Machine Learning [J]. Journal of Guangxi Normal University(Natural Science Edition), 2023, 41(6): 139-149.
[2] XU Lunhui, SU Nan, PIAN Yuzhuang, LIN Peiqun. Bus Travel Time Prediction Based on Extreme Learning Machine Optimized by Artificial Bee Colony Algorithm [J]. Journal of Guangxi Normal University(Natural Science Edition), 2021, 39(5): 64-77.
[3] ZHONG Yanxia, CUI Wenbin, LUO Lingling, CHEN Feng, HE Jing. Spatial and Temporal Variation of Ecological Risk of Xinghai Lake in Ningxia Based on Landscape Pattern [J]. Journal of Guangxi Normal University(Natural Science Edition), 2021, 39(2): 154-161.
[4] GUO Yongli, QUAN Xiqiang, WU Qing. Pollution Characteristics and Health Risk Assessment of Volatile Organic Compounds of Typical Karst Groundwater Source in North China [J]. Journal of Guangxi Normal University(Natural Science Edition), 2020, 38(6): 102-113.
[5] PENG Limei, ZHAO Li, ZHOU Wu, HU Yueming. Risk Assessment of Heavy Metals in Cultivated Land in Conghua District of Guangzhou City, China [J]. Journal of Guangxi Normal University(Natural Science Edition), 2020, 38(5): 118-129.
[6] XU Jianmin, WEI Jia, SHOU Yanfang. Comprehensive Evaluation of Urban Road Traffic Operation StatusBased on Game Theory-Cloud Model [J]. Journal of Guangxi Normal University(Natural Science Edition), 2020, 38(4): 1-10.
[7] LÜ Panlong,WENG Xiaoxiong, PENG Xinjian. Public Traffic Passenger Recognition Based on Differential Evolution Algorithm SVM [J]. Journal of Guangxi Normal University(Natural Science Edition), 2019, 37(1): 106-114.
[8] HUANG Weiqi, JIN Wenzhou, HUANG Jingxiang, HAN Bowen. Pricing Problem of Customized Bus under Different Market Strategies [J]. Journal of Guangxi Normal University(Natural Science Edition), 2018, 36(2): 8-17.
[9] HE Dong-yan, HUA Cui, LU Yuan. Ecological Risk Assessment of Land Use in Lijiang River Basin [J]. Journal of Guangxi Normal University(Natural Science Edition), 2012, 30(4): 172-178.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] LUO Yun-yan, LI Rong-zheng, LI Bing, DING Chen-xu. Optimization of Extraction Process of Alkaloids from Meconopsis horridula Hook. f. & Thomson by Response Surface Methodology[J]. Journal of Guangxi Normal University(Natural Science Edition), 2014, 32(4): 84 -90 .
[2] DONG Shulong, MA Jiangming, XIN Wenjie. Research Progress and Trend of Landscape Visual Evaluation —Knowledge Atlas Analysis Based on CiteSpace[J]. Journal of Guangxi Normal University(Natural Science Edition), 2023, 41(5): 1 -13 .
[3] GUO Jialiang, JIN Ting. Semantic Enhancement-Based Multimodal Sentiment Analysis[J]. Journal of Guangxi Normal University(Natural Science Edition), 2023, 41(5): 14 -25 .
[4] WU Zhengqing, CAO Hui, LIU Baokai. Chinese Fake Review Detection Based on Attention Convolutional Neural Network[J]. Journal of Guangxi Normal University(Natural Science Edition), 2023, 41(5): 26 -36 .
[5] LIANG Zhengyou, CAI Junmin, SUN Yu, CHEN Lei. Point Cloud Classification Based on Residual Dynamic Graph Convolution and Feature Enhancement[J]. Journal of Guangxi Normal University(Natural Science Edition), 2023, 41(5): 37 -48 .
[6] OUYANG Shuxin, WANG Mingjun, RONG Chuitian, SUN Huabo. Anomaly Detection of Multidimensional QAR Data Based on Improved LSTM[J]. Journal of Guangxi Normal University(Natural Science Edition), 2023, 41(5): 49 -60 .
[7] LI Yiyang, ZENG Caibin, HUANG Zaitang. Random Attractors for Chemostat Model with Wall Attachment Driven by Fractional Brownian Motion[J]. Journal of Guangxi Normal University(Natural Science Edition), 2023, 41(5): 61 -68 .
[8] LI Pengbo, LI Yongxiang. Radial Symmetric Solutions of p-Laplace Equations on Exterior Domains[J]. Journal of Guangxi Normal University(Natural Science Edition), 2023, 41(5): 69 -75 .
[9] WU Zixian, CHENG Jun, FU Jianling, ZHOU Xinwen, XIE Jialong, NING Quan. Analysis of PI-based Event-Triggered Control Design for Semi-Markovian Power Systems[J]. Journal of Guangxi Normal University(Natural Science Edition), 2023, 41(5): 76 -85 .
[10] CHENG Lei, YAN Puxuan, DU Bohao, YE Si, ZOU Huahong. Thermal Stability and Dielectric Relaxation of MOF-2 Synthesized in Aqueous Phase[J]. Journal of Guangxi Normal University(Natural Science Edition), 2023, 41(5): 86 -95 .
Copyright © Journal of Guangxi Normal University(Natural Science Edition), All Rights Reserved.
Tel: 0773-5857325　E-mail: gxsdzkb@mailbox.gxnu.edu.cn
Powered by Beijing Magtech Co. Ltd