References of "Viti, Francesco 50003272"
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See detailA holding control strategy for diverging bus lines
Laskaris, Georgios; Rinaldi, Marco; Cats, Oded et al

in Transportation Research. Part C, Emerging Technologies (2021)

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See detailMaaS4All Project Report
Bandiera, Claudia UL; Cisterna, Carolina UL; Viti, Francesco UL

Report (2021)

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See detailExplorative analysis of potential MaaS customers: An agent-based scenario
Cisterna, Carolina UL; Giorgione, Giulio UL; Viti, Francesco UL

in Transportation Research Procedia (2021)

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See detailInvestigating heuristic algorithms for minimal controller location set problem in transportation networks
Mazur, Xavier UL; Rinaldi, Marco; Viti, Francesco UL

Scientific Conference (2021, February)

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See detailA Markov Chain Monte Carlo Approach for Estimating Daily Activity Patterns
Scheffer, Ariane Hélène Marie UL; Bandiera, Claudia UL; Cipriani, Ernesto et al

Scientific Conference (2021, February)

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See detailSensitivity Analysis on Regularity Based Driver Advisory Systems
Laskaris, Georgios; Seredynski, Marcin; Viti, Francesco UL

Scientific Conference (2021, February)

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See detailPrinciples for setting single or multiline control based on network characteristics
Laskaris, Georgios; Cats, Oded; Jenelius, Erik et al

Poster (2021, January)

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See detailSystematic Analysis and Modelling of Profit Maximization on Carsharing
Giorgione, Giulio UL; Kliazovich, Dzmitry; Bolzani, Luca UL et al

Poster (2021, January)

The success of carsharing as a new and more sustainable way of travel is moving private car ownership towards a service use model. Competitivity is an essential aspect of this service and ways to increase ... [more ▼]

The success of carsharing as a new and more sustainable way of travel is moving private car ownership towards a service use model. Competitivity is an essential aspect of this service and ways to increase profit while offering the most appealing service are still getting explored. Among others, dynamic pricing strategies can be designed to increase profit by attracting more users, selling more rental hours or maximizing fleet utilization. In this paper, we propose an experimental method aimed at developing a model for maximizing service profit. Using agent-based modeling to generate realistic scenarios, we analyze pricing as a function of the potential demand (i.e. number of members) and supply (hours of booking supplied). The process of reaching the maximum profit consists of testing various combinations of pricing - demand and pricing – supply ranges in order to find the price that maximize the profit for every demand and supply level. Once the optimal prices are known, a polynomial fitting and an optimization method are used to generate a function linking all the maximal profit obtaining the advised price to offer for any specific supply levels. Results show how the profit only slightly depends on the variability of the potential demand, while it strongly depends on the amount of supply. It is then shown how it is possible to obtain a linear relation that maximizes the profit in function of the price offered once the supply is known. [less ▲]

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See detailA cascading Kalman filtering framework for real-time urban network flow estimation
Rinaldi, Marco UL; Viti, Francesco UL

in 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) (2020, December)

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See detailSensitivity Analysis on Regularity Based Driver Advisory Systems
Laskaris, Georgios; Seredynski, Marcin; Viti, Francesco UL

in 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) (2020, December)

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See detailThe CORONA Business in Modern Cities
Vitello, Piergiorgio UL; Capponi, Andrea UL; Klopp, Pol et al

Poster (2020, November)

As a response to the global outbreak of the SARS-COVID-19 pandemic, authorities have enforced a number of measures including social distancing, travel restrictions that lead to the “temporary” closure of ... [more ▼]

As a response to the global outbreak of the SARS-COVID-19 pandemic, authorities have enforced a number of measures including social distancing, travel restrictions that lead to the “temporary” closure of activities stemming from public services, schools, industry to local businesses. In this poster we draw the attention to the impact of such measures on urban environments and activities. For this, we use crowdsensed information available from datasets like Google Popular Times and Apple Maps to shed light on the changes undergone during the outbreak and the recovery [less ▲]

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See detailImpact of Congestion Pricing Policies in Round-Trip and Free-Floating Carsharing Systems
Cisterna, Carolina UL; Giorgione, Giulio UL; Viti, Francesco UL

in Nathail, Eftihia (Ed.) Advances in Mobility-as-a-Service Systems (2020, November)

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See detailSTREAMS: A supporting tool for shared mobility services
Giorgione, Giulio UL; Viti, Francesco UL

Scientific Conference (2020, November)

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See detailA Big Data Demand Estimation Model for Urban Congested Networks
Cantelmo, Guido; Viti, Francesco UL

in Transport and Telecommunication (2020)

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See detaileCoBus: Smart and sustainable public transport in Luxembourg
Viti, Francesco UL

Scientific Conference (2020, November)

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See detailOptimal Management of Electrified and Cooperative Bus Systems
Viti, Francesco UL; Rinaldi, Marco UL; Laskaris, Georgios

in Transportation Systems for Smart, Sustainable, Inclusive and Secure Cities (2020)

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See detailMixed-fleet single-terminal bus scheduling problem: Modelling, solution scheme and potential applications
Rinaldi, Marco UL; Picarelli, Erika UL; D'Ariano, Andrea et al

in Omega: the International Journal of Management Science (2020), 96

Reducing pollutant emissions and promoting sustainable mobility solutions, including Public Transport (PT), are increasingly becoming key objectives for policymakers worldwide. In this work we develop an ... [more ▼]

Reducing pollutant emissions and promoting sustainable mobility solutions, including Public Transport (PT), are increasingly becoming key objectives for policymakers worldwide. In this work we develop an optimal vehicle scheduling approach for next generation PT systems, considering the instance of mixed electric / hybrid fleet. Our objective is that of investigating to what extent electrification, coupled with optimal fleet management, can yield operational cost savings for PT operators. We propose a Mixed In- teger Linear Program (MILP) to address the problem of optimal scheduling of a mixed fleet of electric and hybrid / non-electric buses, coupled with an ad-hoc decomposition scheme aimed at enhancing the scalability of the proposed MILP. Two case studies arising from the PT network of the city of Luxem- bourg are employed in order to validate the model; sensitivity analysis to fleet design parameters is performed, specifically in terms of fleet size and fleet composition. Conclusions point to the fact that careful modelling and handling of mixed-fleet conditions are necessary to achieve operational savings, and that marginal savings gradually reduce as more conventional buses are replaced by their electric counterparts. We believe the methodology proposed may be a key part of advanced decision support systems for policymakers and operators that are dealing with the on-going transition from conventional bus fleets towards greener transport solutions. [less ▲]

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See detailShort- and Long-Term Impacts of Workplace Relocation: A Survey and Experience from the University of Luxembourg Relocation
Sprumont, François; Benam, Ali Shateri; Viti, Francesco UL

in Sustainability (2020), 12(18),

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See detailInvestigating the Relationship between Controller Locations and Dynamic Traffic Control in Generic Transportation Networks
Rinaldi, Marco UL; Viti, Francesco UL

in Transportation Research Record: Journal of the Transportation Research Board (2020), 2674(5), 172-182

Detailed reference viewed: 58 (4 UL)