<p>There is a correlation between highway freight traffic volume and urban economic development. By regulating the highway freight traffic volume of each city in the provincial region, highway collaborative transportation can be achieved, thereby realizing coordinated development of the provincial urban agglomeration. Based on the game control principle, priority regulation strategy and grouping circular game regulation strategy are proposed. Using extenics and cellular automata theory, the two-dimensional cellular automata model is improved. With cities and highways as cells, and with the use of extensible set transformations in extenics replacing cell transition rules, an Extenics Cellular Automata (ECA) model for dynamic simulation of urban agglomeration development is established to verify the effectiveness of the regulation strategies. Taking the urban agglomeration in Jilin Province, China, as an example, three regulation strategies and development modes are simulated, verifying the correctness of the simulation model and the effectiveness of the regulation strategies. Based on the regulation of highway traffic volume, collaborative transportation promotes the coordinated development of urban agglomerations, and opening up a new research direction in this field. The grouping circular game strategy and the ECA model are innovative, and providing a new modelling method for other similar dynamic development simulation problems. The simulation model established in this paper demonstrates good innovation and applicability.</p>

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Highway collaborative transportation regulation strategies and dynamic simulation in provincial region

  • Shuoqi Wang,
  • Wenqiang Li,
  • Zhanzhong Wang

摘要

There is a correlation between highway freight traffic volume and urban economic development. By regulating the highway freight traffic volume of each city in the provincial region, highway collaborative transportation can be achieved, thereby realizing coordinated development of the provincial urban agglomeration. Based on the game control principle, priority regulation strategy and grouping circular game regulation strategy are proposed. Using extenics and cellular automata theory, the two-dimensional cellular automata model is improved. With cities and highways as cells, and with the use of extensible set transformations in extenics replacing cell transition rules, an Extenics Cellular Automata (ECA) model for dynamic simulation of urban agglomeration development is established to verify the effectiveness of the regulation strategies. Taking the urban agglomeration in Jilin Province, China, as an example, three regulation strategies and development modes are simulated, verifying the correctness of the simulation model and the effectiveness of the regulation strategies. Based on the regulation of highway traffic volume, collaborative transportation promotes the coordinated development of urban agglomerations, and opening up a new research direction in this field. The grouping circular game strategy and the ECA model are innovative, and providing a new modelling method for other similar dynamic development simulation problems. The simulation model established in this paper demonstrates good innovation and applicability.