Rail transit connection public transit network optimizing system

Abstract

The invention discloses a rail transit connection public transit network optimizing system, which comprises a data acquisition module, a data processing module and a result output module, and is characterized in that the data processing module is used for optimizing comprehensive parameters such as connection public transit network trends, station positions and departure frequency within a coverage area of rail transit target stations. According to the rail transit connection public transit network optimizing system, the problem of global optimization of a public transportation connection net under the conditions of a combined type road network and multimodal competitiveness is solved, and the total cost including operation cost and rail transit connection cost is minimized.

Description

technical field [0001] The invention belongs to the field of transportation, in particular to an optimization system for connecting rail transit to a bus line network. Background technique [0002] At present, the road network planning mode of many large cities in my country is a composite road network of checkerboard + radial + circular road. The complexity of the net, such as figure 1 As shown, it poses new challenges to the optimization of the bus network. [0003] The rail transit connection bus refers to the public transportation service specially serving the urban rail transit, aiming to provide medium and short-distance transportation services, and to solve the seamless connection between the traffic area and the rail transit station. [0004] At present, many cities in our country tend to focus on the construction of the rail transit backbone network and ignore the synchronous follow-up, connection and matching of the supporting connecting buses, which greatly weake...

AI Technical Summary

Problems solved by technology

Such an assumption not only does not comply with the design specifications for the location of bus stops (setting bus stops at forks will seriously hinder traffic), but also ignores the passenger's choice behavior of bus stops and lines themselves due to the overlapping of connection demand and bus stops, which makes the existing optimization The method cannot effectively optimize the location of bus stops according to the distribution of actual bus connection demand and route selection characteristics

[0007] Second, in the online network optimization model, the impact of connection methods other than buses on connection demand is not considered enough, that is, the problem of elastic connection demand

[0016] At present, the deficiencies in the field of connection network optimization are mainly reflected in two aspects: (1) The current model cannot make synchronous optimization of the network direction and site location under the condition of elastic connection demand, so it cannot provide decision makers with a complete Optimizing Information on Connecting Bus Line Network

(2) When predicting bus connection demand, only cars are considered as an alternative connection mode. The lack of other modes such as walking leads to distortion of the bus connection demand forecast, which ultimately leads to a greatly reduced accuracy of network optimization results

[0017] Therefore, so far, there is no connection bus network optimization model that can comprehensively optimize routes, stops, and departure frequencies under the conditions of a composite road network that is close to the actual situation and comprehensively consider the influence of multiple connection modes.

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