A method for identifying customized bus demand areas

Abstract

The invention provides a method for identifying customized public transport demand areas, the method comprising the following steps: (1) obtaining a road network structure database and a vehicle running track database in a specified time-space range of the city; (2) screening the commuting tracks in the vehicle running track database , to form a commuting trajectory database; (3) select k key commuting start-destination pairs; (4) pair common trajectories for the selected k key commuting start-destination pairs; Local sub-trajectory clustering is performed on common trajectories of terminal pairs to complete the identification of customized bus demand areas. The present invention relies on trajectory big data in an intelligent network environment, mines data cycle patterns and frequent pattern information, and identifies high-demand areas for customized buses. The invention can quantitatively analyze the frequency and overlap of commuter travel trajectories, accurately determine the demand area of ​​customized public transport, and provide important technical support for the operation and promotion of customized public transport services.

Description

technical field [0001] The invention relates to the field of urban intelligent bus planning and management, in particular to a method for identifying a customized bus demand area. Background technique [0002] In recent years, with the continuous increase in the number of motor vehicles, urban traffic problems such as urban congestion and air pollution have become increasingly serious, which greatly affects people's quality of life. The public transport priority development strategy has become a consensus as an effective means to alleviate urban traffic problems. With the rapid development of mobile application technology, demand-responsive travel services such as customized buses have attracted attention. Customized bus service refers to providing personalized customized travel services for passengers with similar travel origin and destination, travel time, and service needs through centralized integration of individual travel needs. Compared with traditional bus services...

AI Technical Summary

Problems solved by technology

[0004] However, since customized bus services are mainly for commuting needs, travel time and space requirements are relatively concentrated, so when customized bus services are implemented, service areas need to be determined in advance to avoid problems such as detours caused by too scattered demand points or failure to provide services for some needs

At present, quantitative research on customized bus demand areas is relatively rare. In practice, empirical principles are mostly used, and lack of data support, often unable to effectively meet travel needs. It is necessary to adjust the service area many times during the operation process, which increases the operating cost of customized buses. At the same time, it affects the travel experience of passengers

Images