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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2016  >  16(4): 14-25
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@chd.edu.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.

     

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