Study On The Adjustment Method Of Urban Rail Transit Based On The Particle Swarm Optimization Algorithm

With the development of national economy and the acceleration of the urbanization, urban population as well as the total quantity of public transport in our country is on the increase. As a result, certain problems are prominent gradually, such as traffic jam, taxi-calling hard and so on. Urban rail transit, which is equipped with large volume, high speed and comfortable environment, plays an important role to solve the problems above. However, there are also certain problems in urban rail transit operation, whereas the operational delay is one of the most commonly occurring ones. Because of the randomness and mobility of its transport object, it is inevitable that trains are influenced by disturbances during operation, leading to the operational delay. Under the circumstances that trains are running with higher speed and shorter interval, disturbances will easily bring out large-scale disorder of operation. Therefore, it becomes an important issue to minimize the influence of disturbances by scientific method.For this reason, this paper compared the adjustment method home and abroad and found that most method is based on the operator benefit, aiming at reducing the delay time and number and neglecting passengers’ subjective feeling. This practice was unable to meet passengers’ need. Therefore, the adjustment model, which is based on minimizing the delay time and passengers’ waiting time, was put forward and the constraint conditions were analyzed. Consequently, Particle Swarm Algorithm(PSO) was chosen to solve the model. Finally, based on the MATLAB, this model was applied to the Xi’an Metro Line 2. The simulation result showed that: this model could effectively reduce the delay time by 60 to 80 percentage points as well as the passengers’ waiting time by 15 to 30 percentage points. In addition, this model did well in adjusting the running order within small and medium scale of time delay, which could control the delay within 4 seconds. When the time delay was beyond 480 seconds, other methods, such as adding spare trains, adjusting running circle and manual rescue, were needed to put into practice.