Collaborative optimization method of bus line schedule based on big data

Abstract

The present invention involves a big data -based bus line time table co -optimization method, which belongs to the technical field of urban bus operation management.The integration processing of bus GPS data, bus IC card data and line sites provides data support based on actual operation, and proposes a bus timetable optimization model considering the interchange of rail transit.This model takes the interval between the departure of each period as the decision -making variable, with the minimum system cost as the target function, and comprehensively considers the cost cost of non -transfer passengers, the time cost of transfer passenger's waiting time, and the operating costs of bus operating enterprises.The invention obtains passenger flow data through multi -source data fusion saves a lot of manpower and improves the accuracy of the data.Considering the transfer of ground buses and rail transit to improve the rationality of the buses timetable.Establish a data model to optimize the bus timetable, take into account the cost of passenger waiting time and business operating costs, and achieve the coordination of passengers and corporate interests.

Description

technical field [0001] The invention belongs to the technical field of urban public transportation operation management, relates to the compilation of bus timetables, the fields of ITS intelligent transportation system and particle swarm algorithm, and particularly relates to the technical method of big data mining and fusion processing. Background technique [0002] Yang Xiaoguang's "Research on the Shortest Bus Transfer Time Scheduling Based on ITS Environment". A linear programming model is established with the shortest bus transfer time as the goal, and the theoretical significance and practical value of this method are proved by examples. Liu Huanyu's "Research on Reliability-Based Design and Optimization of Bus Schedules" established a reliability-based bus schedule with the constraints of punctuality, travel time reliability, and service interval reliability, and with the goal of maximizing social welfare. However, there are three main problems in the existing resear...

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Problems solved by technology

Liu Huanyu's "Research on Reliability-Based Design and Optimization of Bus Schedules" established a reliability-based bus schedule with the constraints of punctuality, travel time reliability, and service interval reliability, and with the goal of maximizing social welfare. However, there are three main problems in the existing research. First, most of the passenger flow data used are obtained through manual investigation, which not only consumes a lot of labor, but also cannot guarantee the accuracy of the data; second, the research mainly focuses on bus traffic. Third, the research generally takes the passengers at the transfer station as the research object, ignoring the coordination between non-transfer passengers and transfer passengers in the entire line and the relationship between passengers and the bus. Profit distribution of operating enterprises

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