Aiming at the cost and efficiency optimization problem of the passenger transportation system in the airport, an optimization model based on the departure interval is constructed, taking the airport transportation operation cost and passenger travel cost into consideration. Then, a genetic algorithm is designed to solve it. This paper takes Beijing Capital International Airport as an example and designs the passenger operation route. Then, utilizing a seamless 3D model coupling method, a simulation test environment based on the automated people mover(APM) system and the road transportation system was established. Finally, the real data is used to evaluate the proposed method. The test results show that the genetic algorithm can quickly converge and realize comprehensive cost optimization under the condition of improving passenger transport efficiency.
Operation Optimization and Simulation Test of Passenger Transport System in Airport Environment
2023-09-24
2490796 byte
Conference paper
Electronic Resource
English
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