Authors:
Mouna Mnif
1
and
Sadok Bouamama
2
Affiliations:
1
ENSI, University of Manouba and COSMOS Laboratory, Tunisia
;
2
FCIT, University of Jeddah and KSA, Saudi Arabia
Keyword(s):
Multimodal, Transportation Network, Optimization Problem, Mathematical Formulation, Multi-Objective Optimization, Planning Problem.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Business Analytics
;
Cardiovascular Technologies
;
Computing and Telecommunications in Cardiology
;
Data Engineering
;
Decision Support Systems
;
Decision Support Systems, Remote Data Analysis
;
Formal Methods
;
Health Engineering and Technology Applications
;
Informatics in Control, Automation and Robotics
;
Intelligent Control Systems and Optimization
;
Knowledge-Based Systems
;
Optimization Algorithms
;
Optimization Problems in Signal Processing
;
Planning and Scheduling
;
Signal Processing, Sensors, Systems Modeling and Control
;
Simulation and Modeling
;
Symbolic Systems
;
System Modeling
Abstract:
In order to reach a sustainable planning in a rather complicated transport system, it is of high interest to use
methods included in Operations Research areas. This study has been conducted to solve the transportation
network planning problems, in accordance with the optimization problem and multi-objective transport
network in multi-modal transportation. Firstly, we improve the implementation of the existing literature model
proposed in (Cai, Zhang, and Shao, 2010; Zhang and Peng, 2009) because after the conducted
experimentation, we show that there are two previously proposed constraints that make the solution
unrealizable for the transportation problem solving. Secondly, we develop the proposed multi-objective
programming model with linear constraints. Computational experiments are conducted to test the
effectiveness of the proposed model. The mathematical formulation is developed to contribute to success
solving the optimization problem, taking into account important aspects of t
he real system which were not
included in previous proposals in the literature, and review. Thus, it gives ample new research directions for
future studies.
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