Dynamic service network optimization design method for multi-system regional rail transit

Abstract

The invention discloses a dynamic service network optimization design method for multi-system regional rail transit, including constructing a regional rail transit dynamic service network during peak hours and constructing a regional rail transit dynamic service network model: step 1, establishing a generalized travel cost for passengers The minimum is the objective function of the objective; Step 2, determine the following constraints: capacity constraints, flow conservation constraints, minimum departure interval constraints and logic constraints of decision variables. Compared with the prior art, the positive effects of the present invention are: during peak transportation hours, real-time passenger transportation needs can be met as much as possible, passenger travel time can be reduced, passenger travel trajectories can be accurately described, and urban congestion can be appropriately alleviated; it can be compatible with various transportation The method and collaborative optimization make inter-regional trains more reasonable; the nonlinear departure is represented by linear constraints, which reduces the difficulty of solving this method; and does not require algorithm programming, and the solution speed is faster when using corresponding solving software.

Description

technical field [0001] The invention relates to a dynamic service network optimization design method for multi-standard regional rail transit. Background technique [0002] Regional rail transit is an important part of the comprehensive regional transportation system, and it is the "backbone" and "blood" of the city. Regional rail transit mainly includes urban rail transit for travel in urban centers, suburban railways for passenger transport needs in suburban and downtown areas, and intercity and trunk railways for transportation between urban agglomerations. The quality of the train service network design, which includes the running plan and the running time, directly determines the quality of rail transit operation services. Among them, the static service network design is mainly to solve the problem of optimal allocation of transportation resources, while the dynamic service network can solve more time-sensitive problems because of the consideration of time factors. The...

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Problems solved by technology

[0006] To sum up, there have been a large number of researches on service network design at home and abroad. The existing research basically focuses on freight transportation and mostly single-mode transportation. For the research on the design of the dynamic passenger transport service network of multi-mode regional rail transit, the present invention proposes a dynamic service network optimization design method for multi-mode regional rail transit

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