A method for designing urban bus corridors based on a multi-objective optimization model

CN117113605BActive Publication Date: 2026-06-26SOUTHEAST UNIV

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SOUTHEAST UNIV
Filing Date
2023-09-08
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

Existing urban public transport corridor design methods lack mathematical and scientific guidance, making it difficult to comprehensively consider multiple factors such as cost, travel demand, capacity, and surrounding environment, resulting in unscientific designs.

Method used

A multi-objective optimization model-based approach is adopted, combining residents' travel needs and electronic road map data. The model enables automatic matching of bus routes, assesses the development potential of bus corridors, and optimizes their design.

Benefits of technology

It has improved urban traffic efficiency, promoted sustainable urban development, rationally allocated urban land resources, and optimized the development of the public transportation system.

✦ Generated by Eureka AI based on patent content.

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Abstract

The application discloses a kind of urban public transport corridor design methods based on multi-objective optimization model, this method can fuse city land use POI (Point of Interest, point of interest) data, resident trip OD (Origin-Destination, origin-destination) data and corridor construction cost, to realize the line selection and level planning of multi-angle consideration city public transport corridor.The present application is based on multi-objective optimization theory, forms the mathematical model of public transport corridor design, compared with the experience judgment method and two-step clustering method widely used at present, the method can be based on existing traffic demand and future development trend, obtain more accurate and reasonable public transport corridor design result, greatly improve the efficiency of urban public transport corridor planning, reduce the time and cost of artificial design.
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