Station stopping ability-based public transit network layout method

Abstract

The invention mainly provides a station stopping ability-based public transit network layout method. The method mainly comprises a step of constructing a public transit network optimization model and a solving algorithm thereof, wherein the public transit network model aims at maximum nonstop passenger flow density, minimum travel time and minimum public transit enterprise operation cost, and considers the realistic constraint factors such as a topological structure and nonlinear line coefficients of a public transit network; the solving algorithm is a cooperative ant colony algorithm; according to the solving algorithm, a construction rule, pheromone, heuristic information and a selection strategy of solutions are defined. In allusion to the imbalance of the space-time distribution during the trips of residents, the station stopping ability-based public transit network layout method can be used for carrying out necessary optimization and adjustment on the public transit network to satisfy the trip demands on the basis of satisfying the factors such as line length, nonlinear coefficients and coverage rate through combining real road topological structures, so that the trips of the residents are facilitated and the public transit operation cost is saved.

Description

Technical field: [0001] The invention relates to the field of traffic travel, in particular to a method for laying out a bus line network based on the stop capability of a station. Background technique: [0002] The bus line network is the main carrier of the urban passenger transport system. In view of the unbalanced distribution of residents' travel time and space, if its layout structure is unreasonable, it will directly affect the convenience of residents' travel and the overall efficiency of public transport. Therefore, on the basis of meeting the factors such as line length, non-linear coefficient, and coverage rate, it is necessary to make necessary optimization adjustments to the bus network to meet travel needs. This study has certain theoretical value and practical significance. [0003] At present, Bus Networks Optimization Problem (BNOP) is a hot issue in bus optimization, which has attracted extensive attention from scholars at home and abroad. Most of the exi...

AI Technical Summary

Problems solved by technology

It can be seen from the above that the existing research does not involve the impact of the number of berths at the station on the layout of the network. It is assumed that the service level of the station is infinite, and there is no analysis of the bus queuing in and out of the station, which leads to the decline in the efficiency of the entire bus network.

Images