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Showing results 41 to 60 of 209
   A holding control strategy for diverging bus lines; ; et al in Transportation Research. Part C, Emerging Technologies (2021) Detailed reference viewed: 36 (1 UL)MaaS4All Project ReportBandiera, Claudia  ; Cisterna, Carolina ; Viti, Francesco Report (2021) Detailed reference viewed: 112 (14 UL) Explorative analysis of potential MaaS customers: An agent-based scenarioCisterna, Carolina ; Giorgione, Giulio ; Viti, Francesco in Transportation Research Procedia (2021) Detailed reference viewed: 38 (4 UL)Investigating heuristic algorithms for minimal controller location set problem in transportation networksMazur, Xavier ; ; Viti, Francesco Scientific Conference (2021, February) Detailed reference viewed: 24 (4 UL)A Markov Chain Monte Carlo Approach for Estimating Daily Activity PatternsScheffer, Ariane Hélène Marie ; Bandiera, Claudia ; et alScientific Conference (2021, February) Detailed reference viewed: 26 (3 UL)Sensitivity Analysis on Regularity Based Driver Advisory Systems; ; Viti, Francesco Scientific Conference (2021, February) Detailed reference viewed: 18 (0 UL)Luxembourg 2050 - Prospects for a Regenerative City Landscape : Report Phase 1Becker, Tom ; Evrard, Estelle ; Hadji-Minaglou, Jean-Régis et alReport (2021) Detailed reference viewed: 107 (6 UL)Principles for setting single or multiline control based on network characteristics; ; et al Poster (2021, January) Detailed reference viewed: 25 (0 UL)Systematic Analysis and Modelling of Profit Maximization on CarsharingGiorgione, Giulio ; ; Bolzani, Luca et alPoster (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 ▲] Detailed reference viewed: 132 (18 UL)A cascading Kalman filtering framework for real-time urban network flow estimationRinaldi, Marco ; Viti, Francesco in 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) (2020, December) Detailed reference viewed: 137 (6 UL)Sensitivity Analysis on Regularity Based Driver Advisory Systems; ; Viti, Francesco in 2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC) (2020, December) Detailed reference viewed: 112 (9 UL)The CORONA Business in Modern CitiesVitello, Piergiorgio ; Capponi, Andrea ; et alPoster (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 ▲] Detailed reference viewed: 195 (8 UL)Impact of Congestion Pricing Policies in Round-Trip and Free-Floating Carsharing SystemsCisterna, Carolina ; Giorgione, Giulio ; Viti, Francesco in Nathail, Eftihia (Ed.) Advances in Mobility-as-a-Service Systems (2020, November) Detailed reference viewed: 69 (10 UL)STREAMS: A supporting tool for shared mobility servicesGiorgione, Giulio ; Viti, Francesco Scientific Conference (2020, November) Detailed reference viewed: 101 (5 UL)A Big Data Demand Estimation Model for Urban Congested Networks; Viti, Francesco in Transport and Telecommunication (2020) Detailed reference viewed: 71 (7 UL)eCoBus: Smart and sustainable public transport in LuxembourgViti, Francesco Scientific Conference (2020, November) Detailed reference viewed: 86 (4 UL)Optimal Management of Electrified and Cooperative Bus SystemsViti, Francesco ; Rinaldi, Marco ; in Transportation Systems for Smart, Sustainable, Inclusive and Secure Cities (2020) Detailed reference viewed: 58 (2 UL)Mixed-fleet single-terminal bus scheduling problem: Modelling, solution scheme and potential applicationsRinaldi, Marco ; Picarelli, Erika ; et alin 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 ▲] Detailed reference viewed: 161 (13 UL)Short- and Long-Term Impacts of Workplace Relocation: A Survey and Experience from the University of Luxembourg Relocation; ; Viti, Francesco in Sustainability (2020), 12(18), Detailed reference viewed: 64 (4 UL)Investigating the Relationship between Controller Locations and Dynamic Traffic Control in Generic Transportation NetworksRinaldi, Marco ; Viti, Francesco in Transportation Research Record: Journal of the Transportation Research Board (2020), 2674(5), 172-182 Detailed reference viewed: 58 (4 UL) |
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