The paper presents a solution to the program control (planning) task for information processes occurring during the interaction (functioning) of moving objects group. In general, information processes include the obtaining information processes about controlled objects by moving objects, its preliminary and secondary processing, storage (if it is not possible to transfer it to end users), as well as the transmitting and receiving information processes to end users. The purpose for solving the task under consideration is to increase the efficiency and control quality for these information processes in the interests for ensuring timely and reasonable decision-making on the controlled objects state. Usually, this task is solved in an automated (man–machine) mode using various models. Among them, traditionally, either static models are distinguished, which are characterized by large dimensions and difficulties in accounting for time, or logical-dynamic models, in which taking into account information process control technologies leads to the need to describe them using the appropriate phase constraints. To solve this task, models and algorithms for controlling information processes in the interaction for the considered moving objects have been developed. The developed method for researching the information processes interaction for moving objects is based on a multi-stage coordination-iterative procedure for the interaction for the constructed static and dynamic models that describe this subject area. In the static model, the operations that are part for the information processes are linked to moving objects, and in the dynamic model, the information operations already distributed over the moving objects are linked to time. The end result at this work is the models and algorithms developed and implemented at the software level using the Matlab language and Matlab App Designer, the performance which was tested on a test cases number.

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Operational Planning and Scheduling of Information Processes During the Interaction of Group of an Intelligent Transport Technology Vehicle in an Airport Digital Space

  • Vitaly Ushakov

摘要

The paper presents a solution to the program control (planning) task for information processes occurring during the interaction (functioning) of moving objects group. In general, information processes include the obtaining information processes about controlled objects by moving objects, its preliminary and secondary processing, storage (if it is not possible to transfer it to end users), as well as the transmitting and receiving information processes to end users. The purpose for solving the task under consideration is to increase the efficiency and control quality for these information processes in the interests for ensuring timely and reasonable decision-making on the controlled objects state. Usually, this task is solved in an automated (man–machine) mode using various models. Among them, traditionally, either static models are distinguished, which are characterized by large dimensions and difficulties in accounting for time, or logical-dynamic models, in which taking into account information process control technologies leads to the need to describe them using the appropriate phase constraints. To solve this task, models and algorithms for controlling information processes in the interaction for the considered moving objects have been developed. The developed method for researching the information processes interaction for moving objects is based on a multi-stage coordination-iterative procedure for the interaction for the constructed static and dynamic models that describe this subject area. In the static model, the operations that are part for the information processes are linked to moving objects, and in the dynamic model, the information operations already distributed over the moving objects are linked to time. The end result at this work is the models and algorithms developed and implemented at the software level using the Matlab language and Matlab App Designer, the performance which was tested on a test cases number.