Research on the Algorithm of Ordinated Management Control for Complex Systems in Urban Public Transport Service

A well-operating urban public transportation system has a wide range of requirements in many aspects such as route design, station density, scheduling management, demands analysis, service level, and so on. In order to analyze and research such complex system, a method is to use a computer simulation which simulates the behavior of individuals in complex systems, so that a group of such individuals in virtual environments created by computer interact and evolve; thereby the behavior complexity of the whole system "emerged" out. Another method is similar to the human brain with limited rationality and some uncertain information to make rational decisions when faced with complex system. We make a reasonable description of the operating state of system; constitute the rules of system operation with the accumulated experience, so we can control the system in according to above rules. This is a top-down "control" approach. For the existence of limitations in model designing and algorithms for urban public transportation systems in the practical application, this paper serves the problem of coordinated management control in urban public transport system as the research object. Dividing this system into seven interrelated subsystem, namely the line subsystem, station site subsystem, the vehicle subsystem, the driver and conductor subsystems, service management subsystem, the public traffic information subsystem, bus-taking demand subsystems of the residents, this paper analyses the state vector and control vector of each subsystem, constructs a dynamic system model and make parameters identification and forecasting. A more simplified coordinated management control algorithm is presented.