Volume 16 Issue 4
. 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Traffic and Transportation Engineering  > 2016  >  16(4): 14-25
Next Previous
ZHANG Chi, YANG Kun, WANG Shuang-jie, YANG Hong-zhi, SHAO Guang-jun. Highway intelligent route selection method in permafrost region of Qinghai-Tibet Plateau[J]. Journal of Traffic and Transportation Engineering, 2016, 16(4): 14-25. doi: 10.19818/j.cnki.1671-1637.2016.04.002
Citation: ZHANG Chi, YANG Kun, WANG Shuang-jie, YANG Hong-zhi, SHAO Guang-jun. Highway intelligent route selection method in permafrost region of Qinghai-Tibet Plateau[J]. Journal of Traffic and Transportation Engineering, 2016, 16(4): 14-25. doi: 10.19818/j.cnki.1671-1637.2016.04.002
shu

Highway intelligent route selection method in permafrost region of Qinghai-Tibet Plateau

doi: 10.19818/j.cnki.1671-1637.2016.04.002
  • 1.

    State Key Laboratory of Road Engineering Safety and Health in Cold and High-Altitude Regions, CCCC First Highway Consultants Co., Ltd., Xi'an 710075, Shaanxi, China

  • 2.

    Key Laboratory for Special Area Highway Engineering of Ministry of Education, Chang'an University, Xi'an 710064, Shaanxi, China

More Information
  • Author Bio:

    ZHANG Chi(1981-), male, associate professor, PhD, +86-29-62630061, zhangchi@gfscw.cn

  • Received Date: 2016-06-21
  • Publish Date: 2016-08-25
    Abstract
  • To solve the problem that traditional highway route selection method can not fully consider the complex geographical environment in the permafrost region of Qinghai-Tibet Plateau, the spatial data analysis technology of geographic information system(GIS)and intelligent evolutionary algorithm were introduced into the highway route selection process in permafrost region. The spatial data mining in the permafrost region of Qinghai-Tibet Plateau was finished by using GIS, the influence of the microtopography of the permafrost region on highway route selection was considered from the continuity degree and development degree of the influence factors of frozen soil diseases, and the risk degree calculation model of frozen soil disease was established. The component GIS was developed by using object-oriented components technology, and then applied in the permafrost region of Qinghai-Tibet Plateau, so the analysis and extraction of complex geographic information in the permafrost region were completed. The route optimization genetic algorithm and the adaptive iterative method were established, and with the aid of particle swarm algorithm, the route optimization model was set up based on the genetic algorithm. A road section of the route corridor of Qinghai-Tibet Plateau between Xidatan and Kunlun Mountains pass was selected as an example, and the highway intelligent route selection was researched, and the final route position scheme was obtained. Analysis result shows that in the experiment based on real environmental data, the optimal scheme with the least of risk degree is obtained after about 60 th iteration, and the risk degree is stable at about 3. 75. So the intelligent route selection method in the permafrost region of Qinghai-Tibet Plateau can combine the risk of all kinds of frozen soil diseases, and specify the area with less impact of frozen soil disease for highway layout. The optimized scheme effectively takes into account the "initiative protecting permafrost, ensuring the stability of roadbed, friendly ecological environment, economic-reasonable layout"requirements, and can be used as the reference method for highway route design in the permafrost region.

     

    • FullText(HTML)
  • loading
    • References(28)
  • [1]
    SADEK S, KAYSI I, BEDRAN M. Geotechnical and environmental considerations in highway layouts: an integrated GIS assessment approach[J]. International Journal of Applied Earth Observation and Geoinformation, 2000, 2(3/4): 190-198.
    [2]
    JONG J C, SCHONFELD P. An evolutionary model for simultaneously optimizing three-dimensional highway alignments[J]. Transportation Research Part B: Methodological, 2003, 37(2): 107-128. doi: 10.1016/S0191-2615(01)00047-9
    [3]
    KANG M W, JHA M K, SCHONFELD P. Applicability of highway alignment optimization models[J]. Transportation Research Part C: Emerging Technologies, 2012, 21(1): 257-286. doi: 10.1016/j.trc.2011.09.006
    [4]
    KAZEMI S F, SHAFAHI Y. An integrated model of parallel processing and PSO algorithm for solving optimum highway alignment problem[C]//IEEE. 27th European Conference on Modelling and Simulation. New York: IEEE, 2013: 551-557.
    [5]
    YI Si-rong, ZHANG Jia-ling, DENG Yu-cai. An automatic optimization method for designing the initial horizontal alignment of new railway lines[J]. Journal of Southwest Jiaotong University, 2002, 37(1): 1-5. (in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-XNJT200201000.htm
    [6]
    XU Jin-liang, WANG Hai-jun, YANG Shao-wei. Optimization of highway profile based on genetic algorithms[J]. Journal of Traffic and Transportation Engineering, 2003, 3(2): 48-52. (in Chinese). doi: 10.3321/j.issn:1671-1637.2003.02.011
    [7]
    MA Qing-lei. Optimization of highway plane based on genetic algorithm[J]. China Journal of Highway and Transport, 2006, 19(1): 42-46. (in Chinese). doi: 10.3321/j.issn:1001-7372.2006.01.009
    [8]
    GAO Hua. The overall optimization of highway line selection based on genetic algorithm and multi-objective decision system[D]. Changsha: Central South University, 2007. (in Chinese).
    [9]
    RUAN Shen-yong, HUANG Run-qiu. Application of GISbased information model on assessment of geological hazards risk[J]. Journal of Chengdu University of Technology, 2001, 28(1): 89-92. (in Chinese). doi: 10.3969/j.issn.1671-9727.2001.01.018
    [10]
    WANG Ping, SHI Pei-jun. The research of regional natural disasterregionalization with the"bottom-up"methods—a case study of Hunan Province[J]. Journal of Natural Disasters, 1999, 8(3): 54-60. (in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-ZRZH199903007.htm
    [11]
    YANG Hong-zhi, LU Yu. Intelligent optimization method of highway alignment[J]. Journal of Transport Information and Safety, 2009, 27(5): 77-80, 84. (in Chinese). doi: 10.3963/j.ISSN1674-4861.2009.05.017
    [12]
    YUAN Fu. Damage and control of thick layer underground ice to railway in permafrost regions[J]. Subgrade Engineering, 1992(6): 14-17. (in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-LJGC199206003.htm
    [13]
    CHENG Guo-dong. The formation process of thick layer underground ice[J]. Science China: Series B, 1982(3): 281-288. (in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-JBXK198203010.htm
    [14]
    NIU Fu-jun, CHENG Guo-dong, LAI Yuan-ming, et al. Instability study on thaw slumping in permafrost regions of Qinghai-Tibet Plateau[J]. Chinese Jounal of Geotechnical Engineering, 2004, 26(3): 402-406. (in Chinese). doi: 10.3321/j.issn:1000-4548.2004.03.021
    [15]
    RAUTIAINEN K, PARKKINEN T, LEMMETYINEN J, et al. SMOS prototype algorithm for detecting autumn soil freezing[J]. Remote Sensing of Environment, 2016, 180: 346-360. doi: 10.1016/j.rse.2016.01.012
    [16]
    WANG Ping. Development features of frost mound in permafrost region and their influence on subgrade stability along Qinghai-Tibet Railway[J]. Railway Standard Design, 2013(5): 1-4. (in Chinese). http://www.cnki.com.cn/Article/CJFDTOTAL-TDBS201305002.htm
    [17]
    ZHOU Wan-fang, BECK B F, ADAMS A L. Application of matrix analysis in delineating sinkhole risk areas along highway(I-70near Frederic, Maryland)[J]. Environmental Geology, 2003, 44(7): 834-842. doi: 10.1007/s00254-003-0828-8
    [18]
    KAO Y C, CHEN M H, HUANG Y T. A hybrid algorithm based on ACO and PSO for capacitated vehicle routing problems[J]. Mathematical Problems in Engineering, 2012, 2012(1024-123X): 1-17.
    [19]
    XIE Cui-ming. Evaluation and prediction of regional risk of highway geological hazards based on GIS[D]. Changsha: Central South University, 2008. (in Chinese).
    [20]
    HUANG Xing-yuan, XU Shou-cheng. GIS-based dynamic buffer analysis model and its applications[J]. Journal of Image and Graphics, 1998, 3(10): 871-873. (in Chinese). doi: 10.3969/j.issn.1006-8961.1998.10.014
    [21]
    ZHENG Di. The study on the typical geological hazards at permafrost areas in the center of Qinghai-Tibet Plateau[D]. Beijing: China University of Geosciences, 2009. (in Chinese).
    [22]
    CHANG P C, HUANG W H, TING C J. A hybrid geneticimmune algorithm with improved lifespan and elite antigen for flow-shop scheduling problems[J]. International Journal of Production Research, 2011, 49(17): 5207-5230. doi: 10.1080/00207543.2010.510808
    [23]
    TU Sheng-wen, SU Zhou. Intelligent route selection of highway alignments based on GIS and hybrid genetic algorithm and particle swarm optimization[J]. Journal of Chang'an University: Natural Science Edition, 2010, 30(4): 39-45. (in Chinese). doi: 10.3969/j.issn.1671-8879.2010.04.008
    [24]
    YANG Hong-zhi, HAN Yue-jie, LI Fen, et al. Highway intelligent alignment selection based on GIS and genetic algorithms[J]. Journal of Chang'an University: Natural Science Edition, 2009, 29(3): 48-53. (in Chinese). doi: 10.3321/j.issn:1671-8879.2009.03.011
    [25]
    QIN Guang-jun. Improved research and application of genetic algorithm[D]. Zhengzhou: Zhengzhou University, 2006. (in Chinese).
    [26]
    LUKES Z, RAIDA Z. Multi-objective optimization of wire antennas: genetic algorithms versus particle swarm optimization[J]. Radioengineering, 2005, 14(4): 91-97.
    [27]
    ALTUN A A. A combination of genetic algorithm, particle swarm optimization and neural network for palmprint recognition[J]. Neural Computing and Applications, 2013, 22(1): 27-33.
    [28]
    CAI Di-di. Improved genetic algorithm to solve the vehicle routing problem[D]. Harbin: Harbin Engineering University, 2013. (in Chinese).
    • Relative Articles
    • Supplements(0)
    • Cited By

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (2099) PDF downloads(839) Cited by()
    Related

    Website copyright Journal of Traffic and Transportation Engineering Editorial Department陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang'an University, Middle Section of South 2nd Ring Road, Xi'an, China（710064） Tel：029-82334388 Email：jygc@gfscw.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return