Open AccessResearch on Generalized Multimodal Transport Cost Assignment Model Based on Super Transportation Network
Author(s) -
Yonghong Zhang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1769/1/012049
Subject(s) - modal , multimodal transport , transport engineering , aviation , flow network , transportation planning , computer science , pipeline (software) , mode (computer interface) , service (business) , advanced traffic management system , operations research , transport network , engineering , intelligent transportation system , business , mathematical optimization , chemistry , mathematics , marketing , polymer chemistry , programming language , aerospace engineering , operating system
In view of the problem of independent demand prediction and lack of overall integration in the current comprehensive transportation spatial planning, this research establishes a unified research framework by setting up a super transportation network, based on GIS platform in consideration of multi-modal transport demands in sectors such as railway, highway, waterway, civil aviation, postal service and pipeline. The county-level comprehensive traffic zones are established, incorporating various demands of each transport mode. This paper innovates the method of modal split prediction, via the use of passenger and cargo transportation functions to perform multimodal generalized cost model prediction distribution on the super transportation network, thus providing technical support for the integration of comprehensive transportation planning.