| With the rapid development of urbanization, the population of cities increasegradually, people’s social and economic life has become increasingly rich and colorful,so the demand of the traffic I s also higher and higher. These include the intelligentpublic transportation scheduling which is the primary means to ease the trafficproblems.This article is dedicated to the research related with genetic algorithm (GA), andwhich is applied to the scheduling optimization of the intelligent transportation systemthat is an integrated system collected GIS, GPS and GPRS technologies. First of all,this paper combines with the research status of domestic and foreign public transportationsystem and the feasibility analysis of the demand, introduces the main function and theorganization structure of the intelligent public transportation scheduling system. Secondly,genetic algorithm is applied to the public transportation scheduling system, and the basicprinciple, the mathematical mechanism, the characteristics and the application ofgenetic algorithm are discussed in this paper, and then completed the design of staticand dynamic scheduling solution and the basic process in the public transportationscheduling system using genetic algorithm. Finally, according to the analysis of thecurrent transit operation mode, this research elaborates the optimization algorithmprocess and the corresponding passenger flow scheme, works out the reasonableapplication of the actual scheduling optimization scheme, establishes the preliminarymathematical model of the public transportation scheduling that is based on the publictransportation companies and passengers costs minimum and the social benefitsmaximizing as the target function, and then analyzes and verifies the rationality andfeasibility of the established mathematical model using matlab by choosing differentgenetic algorithm parameters and comparing the related data. |
