Study On The Optimization Of Suburban Railway Train Operation Scheme For Commuting In The Metropolitan Area

With the continuous advancement of the new urbanization process,China's large cities have entered the development stage of the metropolitan area.Compared with the construction of subways and intercity railways,suburban railways targeted for commuter transportation in the metropolitan area started late in China,lacking an operational organization method that matches the positioning of passenger flows,and it is difficult to assume commuting function effectively.Combining the experience of operating suburban railways in major metropolitan areas,the train operation scheme matching with the longdistance commuter demand is studied.As the core problem of the optimization of the suburban railway transportation organization,it plays an important role in giving full play to its role of fast commuter and building a 1-hour commuter circle in a big city.According to the location of the long-distance commuting of the metropolitan suburban railway and the space-time characteristics of the passenger demand,it is proposed that the train stop should be optimized based on the bus operation mode to meet the convenience and rapid travel demand.This paper describes the organization form of suburban railway transit operation and the derived mixed travel mode of passengers.According to the demand distribution of different metropolitan areas,it respectively establishes the optimization methods for the operation of regional stop trains in single core city and multi-level stop trains in multi-core city,so as to improve the transportation organization optimization theory of suburban railway in metropolitan area.The specific contents include:(1)For suburban railways in the single-core metropolitan area where passengers travel highly centripetally,firstly,determine the suburban section based on passenger exchanges,and then it is further divided into multiple line areas with the node of the area as the decision variable,and the “many to many” transportation scheme from each area to the central urban area is solved.The integer programming model was established and the HGA algorithm was designed.In the case of the Q line of the S city,an overall cost savings of 8.6% was achieved.Further analysis shows that the optimization method has obvious advantages in lines with low passenger exchange coefficients,and the optimization effect is greatly affected by the conditions of the lines,vehicles and other equipment.When the passenger intensity continues to increase,the comprehensive cost shall be evaluated and the line shall be expanded or transformed or the zoning plan shall be adjusted.(2)With the progress of suburbanization,the shape of the metropolitan area has evolved to multi-core,and the passenger intensity of each station of the suburban railway has been graded.Based on the bus operation mode,suburban trains with different stop levels are put forward to provide different speed and service frequency for different intensity of passenger flow.It is pointed out that the contradiction of capacity and resource allocation caused by this mode is the key problem of operation optimization.For this reason,a two-level programming model of train operation scheme is established,and PSO-GA and MSA algorithms are designed respectively.Through case comparison,it is verified that this scheme has 1.5%,2.4% and 5.6% comprehensive cost savings compared with the three common operation schemes.At the same time,it proves that using the hybrid waiting mode to describe suburban passenger travel behavior under the bus operation mode is of great significance for accurately evaluating passenger travel costs and optimizing operations.There are 40 pictures,14 tables and 68 references.