Optimization of vehicle operating conditions using AnyLogic 2019-01-0099
The paper describes the process of modeling and optimizing the operating conditions of vehicles for a section of the transport network using simulation tools. The cyphergrams of the transport flow intensities in the transportation hub were built, a graphic model of vehicle traffic in the transportation hub was built, and a transition probability matrix was compiled, which was used to simulate modeling and optimize vehicle operating conditions for the considered transport hub. AnyLogic software was chosen for simulation. It supports all simulation methods and a powerful built-in library for traffic modeling. The corresponding simulation model was created. With the help of it, modeling in the transport node selected for research has been carried out and the optimum values of the duration of the phases of traffic light objects have been obtained. This has reduced the average travel time through the site, which is considered in the work, and the number of cars in traffic jams. In the process of modeling, the objective function is formed with the corresponding restrictions. Also, the task of optimizing operating conditions in the transport hub under study is formulated. Different process diagrams of the simulation model were created for different input parameters. Relevant agents and their populations were created too. The simulation error was 4%, which confirms the feasibility of using AnyLogic to simulate and optimize the operating conditions of vehicles. In the future, modeling of a set of network sections can be used to select the optimal route for a vehicle, based on the optimization problem. The model can be used to solve problems of optimizing the movement of vehicles, and can also be used in the simulation and operation of intelligent transport systems in operating conditions.
Citation: Volodarets, M., Gritsuk, I., and Chygyryk, N., "Optimization of vehicle operating conditions using AnyLogic," SAE Technical Paper 2019-01-0099, 2019. Download Citation
Mykyta Volodarets, Igor Gritsuk, Nataliia Chygyryk
Ukrainian State Univ. of Railway Transp, Kherson State Maritime Academy
SAE Connected and Automated Vehicle Conference Israel