Big data based bus route time table collaborative optimization method

• Main Authors: ZHONG SHAOPENG, ZHANG LU, JUAN HAIMIN, ZHAO JI, YAO RONGHAN, WANG ZHONG, WANG QUANZHI
• Format: Patent
• Language: Chinese; English
• Published: 22.02.2017
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; PHYSICS; SIGNALLING; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR; TRAFFIC CONTROL SYSTEMS

The invention relates to a big data based bus route time table collaborative optimization method, and belongs to the technical field of urban bus operation management. Bus GPS (global positioning system) data, bus IC (integrated circuit) card data and route station data are fused and processed into a bus time table to provide actual operation based data support, and a bus time table optimization model considering rail transit transfer is provided. The model takes departure intervals at each time period as decision variables, takes minimum total system cost as an objective function, and comprehensively considers waiting time cost of non-transfer passengers, waiting time cost of transfer passengers and operating cost of bus operating enterprises. Passenger flow data are obtained through multi-source data fusion, a lot of manpower is saved, and accuracy in data is improved. By the consideration of routine bus system and rail transit transfer, reasonability in bus time table preparation is improved. A data model