Assessing Two-way and One-way Carsharing: an Agent-Based Simulation Approach

Giorgione, Giulio; Bolzani, Luca; Viti, Francesco

doi:10.1016/j.trpro.2021.01.064

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…The model takes into consideration only requests that can be performed by system employees but does not take into consideration external factors necessary to maximize the profitability of the car-sharing system. In [8], it is shown that one-way and two-way car-sharing systems can operate simultaneously in the same region. Each system has its own customer base.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Building a dynamic model of profit maximization for a carsharing system accounting for the region’s geographical and economic features

Amirgaliyev

Andrashko

Kuchansky

2022

EEJET

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This paper describes a dynamic model of profit maximization for a car-sharing system, taking into consideration the geographical and economic characteristics of a region. To solve the model construction task, a technique to cover the region with geometric shapes has been described. It was established that when modeling a car-sharing system, it is rational to cover a region with a grid of equal regular hexagons located side to side. For each subregion, quantitative parameters were calculated: the number of free cars in the subregions, the probability of a car traveling from one sub-region to another, the cost of maintenance and operation of the car, and the income from the trip. This takes into consideration the dynamic nature of the specified parameters. Based on these parameters, an objective function is constructed including constraints for the dynamic model. These constraints take into consideration the economic and geographical features of each subregion. A dynamic profit maximization model was built for the car-sharing system in the city of New York (USA) based on the TCL dataset. To calculate the parameters of the model, data on 776,285,070 trips over the period from January 2016 to July 2021 were used. Maps of the beginning and completion of trips in the region and a map of trips tied to hexagonal grid cells using the Kepler visualization service have been built. The frameworks H3 and S2 were analyzed in terms of determining the length of the route between the subregions. Modeling was carried out according to the built unidirectional dynamic model of profit maximization. It has been established that taking into consideration the average economic and geographical characteristics of a region makes it possible to increase the profit of the car-sharing system by 12.36 %. Accounting for the dynamics of economic and geographical features of the region of customers in the model makes it possible to increase profits by an additional 4.18 %

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Building a dynamic model of profit maximization for a carsharing system accounting for the region’s geographical and economic features

Amirgaliyev

Andrashko

Kuchansky

2022

EEJET

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“…MATSim is applied in several different studies. For instance, it is used to simulate travel demand dynamics (Hörl & Balac, 2021;Llorca & Moeckel 2019;Melnikov et al, 2016), urban air mobility travel time savings (Rothfeld et al, 2021), traffic behavior in growing metropolitan areas (Hager et al, 2015), and carsharing systems (Giorgione et al, 2021). Furthermore,…”

Section: Matsimmentioning

confidence: 99%

Etmen-tabanlı modellemede belirme ve karmaşıklık: Güncel araştırmaların incelenmesi

Cenani

2021

Journal of Computational Design

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Agent-based systems are an important application area of artificial intelligence and are used in decision support systems. Rather than being a problem-solving tool, agent-based system is a tool for developing and testing alternative solutions according to various scenarios. In this context, agent-based modeling is a very effective method to support decision makers in emergency situations to evaluate different risk scenarios and then make decisions quickly and effectively. Moreover, agent-based modeling is a very useful method to support decision makers in situations of high complexity and uncertainty. This paper introduces current studies performed with several agent-based modeling tools and software environments such as NetLogo, AnyLogic, MATSim and Repast. Apart from these, various agent-based modeling tools exist, but these four tools have been chosen because they are still receiving software updates and being widely used in the most current studies. The aims of this study are to review these four agent-based modeling tools, present state-of-the-art research conducted with these tools and provide a reference of agent-based modeling tools for researchers who are developing decision support systems in architectural, urban and transportation design research fields. In this paper, after giving a brief definition of an agent-based system and explaining the importance of concepts such as emergence and complexity in the field of agent-based modeling, it is explained who uses the agentbased models for what purpose, when, where, why and how to use agent-based modeling through selected examples from state-of-the-art studies carried out in different research fields. Furthermore, what current studies and agent-based modeling tools teach us and how future studies can benefit from agent-based models are briefly discussed.

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Data driven scalability and profitability analysis in free floating electric car sharing systems

Ciociola

Giordano

Vassio

et al. 2023

Information Sciences

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Assessing Two-way and One-way Carsharing: an Agent-Based Simulation Approach

Cited by 4 publications

References 11 publications

Building a dynamic model of profit maximization for a carsharing system accounting for the region’s geographical and economic features

Building a dynamic model of profit maximization for a carsharing system accounting for the region’s geographical and economic features

Etmen-tabanlı modellemede belirme ve karmaşıklık: Güncel araştırmaların incelenmesi

Data driven scalability and profitability analysis in free floating electric car sharing systems

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