Incorporating advanced behavioral models in mixed integer linear optimizationĭiscrete choice models are used for detailed representation of the "demand". Principal investigator Michel Bierlaire Project manager Yuki Oyama Sponsor European Commission Period October 01, 2018-SeptemExternal collaboration Constantinos Antoniou (TUM) LaTeX description
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The main methodologies are network design optimization and traffic assignment. The goal of the research is to propose and identify the optimal configuration of a fringe parking system with AMWs, as a solution to city centers. The key idea of this research is to use “accelerated moving walkway” (AMW), a novel transport system, in combination with a fringe parking system to design a car-free city center with high accessibility. However, this may decrease the level of accessibility moving the parking away from the final destinations. A possible solution is a “fringe parking” system, which groups parking into a limited number of spots on the border of the district.
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To achieve these goals, one of the biggest challenges is the relocation of parking places scattered in the inner district, which cause cruising for available parking as well as car inflows. A car-free city center is a valuable solution for decreasing traffic congestion and CO2 emissions, and improving active mobility and quality of life. This project is conducted on a fellowship "The EuroTech Postdoc Programme". Principal investigator Michel Bierlaire Project manager Virginie Lurkin Sponsor Swiss National Science Foundation Period November 01, 2017-OctoCollaborator Stefano Bortolomiol LaTeX descriptionĭesign of a car-free city center: a fringe parking system with accelerated moving walkways In this context, the objective will be to analyze the concept of equilibrium, that is, stationary states of the system where no actor has an incentive to change his/her decisions.
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We plan to investigate how to integrate these games in the already developed framework. Non-cooperative game theory is commonly used to model such oligopolistic competition. Each operator will take the supply-side decisions that optimize its performance function (e.g., maximization of revenue). In this project, we will therefore explicitly consider multiple operators that compete for the same pool of customers. We hypothesize that the decisions of supply actors (such as capacity, assortment, and price) are highly influenced by the decisions of other actors, through competition within the market. The project aims at formulating explicitly the complex interaction between the supply and demand actors. The starting point of this research project is the general framework developed in the SNF research project 200021_165636 entitled “Incorporating advanced behavioral models in mixed integer linear optimization”. Incorporating competitors' behavior in demand based optimization models