A method for optimal control of subway traffic flow

Abstract

The invention relates to a subway traffic flow optimization control method, comprising the following steps: firstly generating a topological structure diagram of a rail transit network according to the planned operation parameters of each train; and then analyzing the controllability and sensitivity of the train flow based on the topological structure diagram ; Then according to the planned operation parameters of each train, generate multi-train conflict-free running trajectories; then at each sampling time, based on the current running state of the train and the historical position observation sequence, predict the traveling position of the train at a certain moment in the future, and then establish From the continuous dynamics of the train to the observer of the discrete conflict logic, the continuous dynamics is mapped to the conflict state expressed by the discrete observation values; when the system may violate the traffic control rules, the mixed dynamic behavior of the subway traffic mixed system is monitored for control The center provides alarm information; finally, when the alarm information appears, the adaptive control theory method is used to perform robust two-level planning on the train trajectory, and the planning results are transmitted to each train.

Description

technical field [0001] The invention relates to a subway traffic flow optimization control method, in particular to a robust strategy-based double-deck subway traffic flow optimization control method. Background technique [0002] With the increasing scale of large and medium-sized cities in our country, the urban traffic system is facing more and more pressure, and vigorously developing the rail transit system has become an important means to solve urban traffic congestion. The national "Eleventh Five-Year Plan" outline pointed out that large cities and urban agglomerations where conditions permit should take rail transit as a priority area of ​​development. my country is experiencing an unprecedented peak period of rail transit development. Some cities have shifted from line construction to network construction, and urban rail transit networks have gradually formed. In complex areas with dense rail transit network and train flow, the method of still adopting train operati...

AI Technical Summary

Problems solved by technology

In complex areas with dense rail transit network and train flow, the method of still adopting train operation plan combined with train interval allocation based on subjective experience gradually shows its backwardness. Due to the influence of various random factors, it is easy to cause congestion in traffic flow tactical management and reduce the safety of traffic system operation; (2) The train scheduling work focuses on maintaining the safe interval between individual trains, and has not yet risen to the strategic management of train flow. At the macro level; (3) The train deployment process mostly depends on the subjective experience of the front-line dispatchers, and the timing of the deployment is relatively random, lacking scientific theoretical support; (4) The deployment methods used by the dispatchers seldom take into account external interference factors The impact of the train allocation scheme is poor in robustness and availability

[0003] The discussion objects of the existing literature are mostly for long-distance railway transportation, but there is still a lack of systematic design for the scientific regulation and control scheme of the urban subway transportation system under the conditions of large flow, high density and small interval operation

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