Station-based urban public traffic network optimized configuration method

Abstract

The invention discloses a station-based urban public traffic network optimized configuration method, which comprises the following steps of: optimized layout of bus stops under the constraint condition; calculation of trip generation of the bus stops; generation of candidate routes based on bus stop generation and route constraint condition; and genetic algorithm-based bus route optimization and index evaluation thereof. The station-based urban public traffic network optimized configuration method can search new routes based on the conventional routes, particularly realizes conventional public traffic network optimized layout in the presence of rapid transit. The station-based urban public traffic network optimized configuration method can directly evaluate the generation of the bus stops based on urban land utilization and population distribution, and also can directly utilize the generation and origin and destination data acquired by field transit survey. The system can be used for spatial distribution optimization of conventional metropolitan public traffic networks, and the efficiency for public traffic network regulation and layout is improved.

Description

1 technical field [0001] The invention belongs to the field of digital data processing, in particular to a site-based urban public transport line network optimization configuration method. 2 background technology [0002] 2.1 Classical bus line spatial allocation method [0003] The classic bus route planning method exists in the urban transportation system planning model (Urban Transportation Modeling System). The system is based on the statistical unit of social and economic activities to form a traffic analysis unit (TAZ), and uses the classic four-stage method to solve the road flow. The four stages are trip generation, trip distribution, mode segmentation, and traffic distribution. Travel generation is to obtain the occurrence and attraction of TAZs. The travel distribution uses methods such as gravity models to calculate the travel volume (Origin-Destination, OD volume) between TAZs. Mode segmentation is to predict the proportion of various transportation modes (incl...

AI Technical Summary

Problems solved by technology

The four-stage planning method is also being continuously improved, but its overall thinking has not changed much

[0031] [1] The classic urban traffic model system uses public transportation as a mode of travel. The whole system is relatively large, the amount of data required for the establishment process is large, and the calculation process is complicated

[0032] [2] The existing route configuration method is based on the method of "laying out one by one", which is suitable for the route layout in the main direction of passenger flow, and there is still no effective method for the process of supplementing other lines to form the overall bus network

[0033] [3] The existing bus planning implements the line layout first, and then locates the bus stops based on the lines. Due to the constraints of the distance between bus stops, it is difficult to choose a bus stop

Because the location of bus stops involves micro-demand, some potential bus stops with high demand may be ignored because there are no lines

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