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Supernetwork Representation Formulation of a Multiclass Simultaneous Transportation Equilibrium Model as a Fixed Demand User Equilibrium Problem
- Source :
- International Journal of Operations Research and Information Systems. 12:18-33
- Publication Year :
- 2021
- Publisher :
- IGI Global, 2021.
-
Abstract
- A multiclass simultaneous transportation equilibrium model (MSTEM) explicitly distinguishes between different user classes in terms of socioeconomic attributes, trip purpose, pure and combined transportation modes, as well as departure time, all interacting over a physically unique multimodal network. It enhances the prediction process behaviorally by combining the trip generation and departure time choices to trip distribution, modal split, and trip assignment choices in a unified and flexible framework that has many advantages from both supply and demand sides. However, the development of this concept of multiple classes increases the mathematical complexity of travel forecasting models. In this research, the authors reduce this mathematical complexity by using the supernetwork representation formulation of the diagonalized MSTEM as a fixed demand user equilibrium (FDUE) problem.
- Subjects :
- Mathematical optimization
Information Systems and Management
Computer Networks and Communications
Computer science
Process (computing)
02 engineering and technology
Supernetwork
Trip distribution
Computer Science Applications
Management Information Systems
Supply and demand
020303 mechanical engineering & transports
Modal
Development (topology)
0203 mechanical engineering
Computational Theory and Mathematics
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Representation (mathematics)
Trip generation
Information Systems
Subjects
Details
- ISSN :
- 19479336 and 19479328
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- International Journal of Operations Research and Information Systems
- Accession number :
- edsair.doi...........f81dc3396df69d219611d58247a0d18e
- Full Text :
- https://doi.org/10.4018/ijoris.20210701.oa2