Urban public transport network optimization research method based on complex network theory

Abstract

The invention belongs to the technical field of urban public transport systems, and particularly relates to an urban public transport network optimization research method based on a complex network theory, which comprises the following steps of: 1, firstly, calculating passenger travel cost, and adding the passenger travel cost into a network as travel impedance; 2, calculating the probability that the passengers select travel paths according to the travel impedance so as to obtain the passenger flow demands of different road sections, adding the travel impedance, the passenger flow demands and the passenger transport capacity of public transport into the network as weights, and improving the calculation mode of the global efficiency of the network according to the weights; and step 3, finally, establishing a public transport network optimization model by taking the network global efficiency as a target function, and improving the ant colony algorithm for solving, the design is reasonable, the urban public transport efficiency is improved, and the problems of unreasonable urban public transport line layout and low public transport system operation efficiency are finally relieved.

Description

technical field [0001] The invention relates to the technical field of urban public transportation systems, in particular to an optimization research method for urban public transportation networks based on complex network theory. Background technique [0002] With the rapid development of China's economy, the scale of cities is also growing. At present, the development of my country's urban traffic lags behind the development of urban economy. Therefore, a series of traffic problems have emerged in the process of urbanization, such as severe traffic congestion during peak travel periods, frequent traffic accidents, and parking difficulties. Urban public transport has the advantages of large passenger capacity, low travel cost, and wide coverage, and is the main way for residents to travel. At the same time, the development of the public transportation system has effectively alleviated traffic problems such as traffic congestion. Therefore, developing urban public transpor...

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Problems solved by technology

[0006] So far, most existing studies have considered a single factor, such as cross-section passenger flow, travel time or impedance, to give weight to the network, but only considering a single factor cannot reflect the real network operation status; The network optimization goal lacks the consideration of the overall network, or achieves the optimization of the overall efficiency of the network, but ignores the influence of the direction of the bus line. While considering the change of the bus line, the overall efficiency of the bus line network should be optimized

This paper proposes a new bus network optimization method, which determines the probability of passenger travel routing based on passenger travel impedance, and weights the network according to passenger travel impedance, travel routing probability and passenger demand, which improves the calculation of bus network efficiency method, to improve the network efficiency as the objective function to establish a bus network optimization model, and finally use the ant colony algorithm to solve the problem, so as to improve the efficiency of urban public transport, and finally alleviate the problems of irrational layout of urban bus lines and low operating efficiency of the bus system

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