Literatura académica sobre el tema "Free Floating Car Sharing"
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Artículos de revistas sobre el tema "Free Floating Car Sharing"
Cocca, Michele, Danilo Giordano, Marco Mellia y Luca Vassio. "Free floating electric car sharing design: Data driven optimisation". Pervasive and Mobile Computing 55 (abril de 2019): 59–75. http://dx.doi.org/10.1016/j.pmcj.2019.02.007.
Texto completoKypriadis, Damianos, Grammati Pantziou, Charalampos Konstantopoulos y Damianos Gavalas. "Optimizing Relocation Cost in Free-Floating Car-Sharing Systems". IEEE Transactions on Intelligent Transportation Systems 21, n.º 9 (septiembre de 2020): 4017–30. http://dx.doi.org/10.1109/tits.2020.2995197.
Texto completoKolleck, Aaron. "Does Car-Sharing Reduce Car Ownership? Empirical Evidence from Germany". Sustainability 13, n.º 13 (1 de julio de 2021): 7384. http://dx.doi.org/10.3390/su13137384.
Texto completoTakahira, Kentaro y Shigeo Matsubara. "Contract-based Inter-user Usage Coordination in Free-floating Car Sharing". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 13 (18 de mayo de 2021): 11361–68. http://dx.doi.org/10.1609/aaai.v35i13.17354.
Texto completoWeikl, Simone y Klaus Bogenberger. "Relocation Strategies and Algorithms for Free-Floating Car Sharing Systems". IEEE Intelligent Transportation Systems Magazine 5, n.º 4 (2013): 100–111. http://dx.doi.org/10.1109/mits.2013.2267810.
Texto completoZhou, Wei, Haixia Wang, Victor Shi y Xiding Chen. "A Decision Model for Free-Floating Car-Sharing Providers for Sustainable and Resilient Supply Chains". Sustainability 14, n.º 13 (4 de julio de 2022): 8159. http://dx.doi.org/10.3390/su14138159.
Texto completoGiordano, Danilo, Luca Vassio y Luca Cagliero. "A multi-faceted characterization of free-floating car sharing service usage". Transportation Research Part C: Emerging Technologies 125 (abril de 2021): 102966. http://dx.doi.org/10.1016/j.trc.2021.102966.
Texto completoDaraio, Elena, Luca Cagliero, Silvia Chiusano, Paolo Garza y Danilo Giordano. "Predicting Car Availability in Free Floating Car Sharing Systems: Leveraging Machine Learning in Challenging Contexts". Electronics 9, n.º 8 (16 de agosto de 2020): 1322. http://dx.doi.org/10.3390/electronics9081322.
Texto completoCocca, Michele, Danilo Giordano, Marco Mellia y Luca Vassio. "Free Floating Electric Car Sharing: A Data Driven Approach for System Design". IEEE Transactions on Intelligent Transportation Systems 20, n.º 12 (diciembre de 2019): 4691–703. http://dx.doi.org/10.1109/tits.2019.2932809.
Texto completoBecker, Henrik, Francesco Ciari y Kay W. Axhausen. "Measuring the car ownership impact of free-floating car-sharing – A case study in Basel, Switzerland". Transportation Research Part D: Transport and Environment 65 (diciembre de 2018): 51–62. http://dx.doi.org/10.1016/j.trd.2018.08.003.
Texto completoTesis sobre el tema "Free Floating Car Sharing"
Müller, Daniel. "Ride Pooling in Free Floating Car Sharing". Thesis, KTH, Optimeringslära och systemteori, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209928.
Texto completoÄven om samåkning redan är en utbredd affärsidé och en del av Shared-Mobility strategin som bland annat formar bilindustrins framtid, är införandet av samåkning inom Carsharing strukturen fortfarande inte en del av de befintliga modellerna. Därför är syftet med denna studie att undersöka möjligheten att inkludera samåkning i termer av att optimera med av seende på bilpoolens storlek, kostnad och vinst. Detta uppnås genom att skapa tre olika matematiska modeller och utöka dem med vissa kostnadsparametrar. En av de tre modellerna som nämns är Ride-Share-Matching strategin som fokuserar mer på själva processen att göra en bilpool än på ett riktigt affärsscenario baserat på ett företag. Den senare täcks av de övriga två modellerna, nämligen Dial-a-Ride problemet och en modifiering med kortare körtid som vi kallar Task-Graph modell. Tester med dessa tre modeller på slumpmässigt generade instanser visar att möjligheten för samåkning otvivelaktigt existerar.
Obwohl Carsharing bereits ein weitverbreitetes Geschäftskonzept und Teil des Shared-Mobility-Ansatzes ist, der unter anderem die Zukunft der heutigen Automobilindustrie prägt, ist das Einbeziehen von Fahrgemeinschaften innerhalb des Carsharing-Gefüges noch kein fester Bestandteil der existierenden Modelle. Daher ist die Zielsetzung dieser Arbeit darauf ausgerichtet, das Potential der Möglichkeit zur Einbeziehung von Fahrgemeinschaften in Sachen Flottengrößen-, Kosten- und Gewinnoptimierung zu untersuchen. Dies wird durch das Erstellen von drei verschiedenen mathematischen Modellen und deren Erweiterung durch bestimmte Kostenparameter erreicht. Eins der drei erwähnten Modelle ist der Ride-Share- Matching-Ansatz, der sich mehr auf den tatsächlichen Vorgang des Fahrgemeinschaftbildens fokussiert als auf ein reales Geschäftsszenario anhand eines Unternehmens. Letzteres wird dann durch die anderen beiden Ansätze abgedeckt, nämlich durch das Dial-a-Ride-Problem und eine Abänderung von diesem mit besserer Laufzeit, das wir Task-Graph-Modell nennen. Testläufe mit diesen drei Modellen auf zufällig generierten Instanzen zeigen, dass das Potential von Fahrgemeinschaften zweifelsohne existiert.
COCCA, MICHELE. "Electric Revolution in Free Floating Car Sharing: a data driven methodology for system design". Doctoral thesis, Politecnico di Torino, 2021. http://hdl.handle.net/11583/2872345.
Texto completoStrand, Elliot y Viktor Sandell. "The Key Value Components of a Customer Value Proposition for Free-Floating Car Sharing Services in the Nordics". Thesis, Jönköping University, IHH, Företagsekonomi, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:hj:diva-52829.
Texto completoPal, Aritra. "Improving Service Level of Free-Floating Bike Sharing Systems". Scholar Commons, 2017. https://scholarcommons.usf.edu/etd/7433.
Texto completoReiss, Svenja [Verfasser], Klaus [Akademischer Betreuer] Bogenberger, Ralph [Akademischer Betreuer] Buehler, Klaus [Gutachter] Bogenberger y Ralph [Gutachter] Buehler. "Demand Modeling and Relocation Strategies for Free-floating Bicycle Sharing Systems / Svenja Reiss ; Gutachter: Klaus Bogenberger, Ralph Buehler ; Akademische Betreuer: Klaus Bogenberger, Ralph Buehler ; Universität der Bundeswehr München, Fakultät für Bauingenieurwesen und Umweltwissenschaften". Neubiberg : Universitätsbibliothek der Universität der Bundeswehr München, 2017. http://d-nb.info/116553858X/34.
Texto completoReiss, Svenja [Verfasser], Klaus Akademischer Betreuer] Bogenberger, Ralph [Akademischer Betreuer] [Buehler, Klaus [Gutachter] Bogenberger y Ralph [Gutachter] Buehler. "Demand Modeling and Relocation Strategies for Free-floating Bicycle Sharing Systems / Svenja Reiss ; Gutachter: Klaus Bogenberger, Ralph Buehler ; Akademische Betreuer: Klaus Bogenberger, Ralph Buehler ; Universität der Bundeswehr München, Fakultät für Bauingenieurwesen und Umweltwissenschaften". Neubiberg : Universitätsbibliothek der Universität der Bundeswehr München, 2017. http://d-nb.info/116553858X/34.
Texto completoCocca, Michele. "Electric Revolution and Free Floating Car Sharing: A Data Driven Methodology for System Design". Doctoral thesis, 2021. http://hdl.handle.net/11583/2870025.
Texto completoKapourani, Eleftheria-Eleni. "Urban mobility in transition: the impact of free-floating car sharing- exemplified by the case of driveNow in Lisbon". Master's thesis, 2018. http://hdl.handle.net/10362/39620.
Texto completoCHIANESE, YURI MARIA. "Optimization of profits in one-way free-floating car-sharing services, with a user-based relocation strategy that apply dynamic pricing and urban area demand defined gathering real vehicle-sensor data". Doctoral thesis, 2019. http://hdl.handle.net/11573/1298567.
Texto completoLiu, Zhu-Ming y 劉祝銘. "A User-Based Relocation System for Free Floating Bike Sharing System". Thesis, 2019. http://ndltd.ncl.edu.tw/handle/2k52d4.
Texto completo國立臺灣大學
土木工程學研究所
107
In recent years, with people''s increased awareness of protecting the environment, more and more people choose to use public bike travel within city or as a connecting tool for other public transit modes. Since the first generation public bicycle system has been developed in 1965, the fourth generation which called Free Floating Bike Sharing (FFBS) System has been developed and exploded in Beijing in 2015 to solve the problems caused by the location and station capacity of the third generation station-based system. The emergence of so many bikes in a short time recent years can cause many problems. For instance, the free floating system allows the user to rent and return the bike almost from anywhere within the operating area, thus resulting in an imbalance distribution of bikes. In addition, the tidal flow caused by daily commuting trip can cause bikes to be concentrated and lower the turnover rate, and there have some origin or destination type regions will cause imbalance distribution of bikes as well and resulting in a low service level; therefore, a relocation system is necessary. The existing operator-based relocation system for public bike system mostly uses the operator to drive a truck to carry the bicycle to those insufficient stations. However, the characteristics of free floating makes if we only use the traditional operator-based relocation strategy, it will become economically less attractive. In response to this situation, this research attempts to alleviate the imbalance distribution of bikes by giving users an incentive bonus to “employ” users to return the bike to the near area that lack or will lack bikes. In order to construct the above-mentioned dispatching system, based on the historical trip data of Mobike which is one of the biggest free floating bike sharing company in China, this study first analyzed the temporal and spatial characteristics of the bike usage to quantify the imbalance distribution. Then, based on GPS data, spatial clustering was used to construct transit Origin-Destination matrix. Additionally, in order to predict upcoming Origin-Destination traffic volume at certain district, depending on different temporal factors, a demand model was built using back-propagation neural network (BPNN). The prediction result was used to compute the redundant bike that could be dispatched and the insufficiency at each district. Then, combined with a user participation pattern that established based on an online survey, a dispatching system that considers minimizing both the incentives payout and the total bike shortfall developed and evaluated. In the end, a case study of free floating bike sharing system was performed to show the effect of the proposed system within 3 different types of case regions. Although the result shows that the relocation effect varies by region. However, the relocation system in each region can achieve significant improvement under an affordable dispatching cost. The result proves the practicality of the user-based relocation system, and this research is also a valuable reference for the free floating bike sharing related company to optimize their bike relocation strategies.
Capítulos de libros sobre el tema "Free Floating Car Sharing"
Rawiel, Paul. "Positioning of Pedelecs for a Pedelec Sharing System with Free-Floating Bikes". En iCity. Transformative Research for the Livable, Intelligent, and Sustainable City, 51–64. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92096-8_5.
Texto completoHerrmann, Sascha, Frederik Schulte y Stefan Voß. "Increasing Acceptance of Free-Floating Car Sharing Systems Using Smart Relocation Strategies: A Survey Based Study of car2go Hamburg". En Lecture Notes in Computer Science, 151–62. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11421-7_10.
Texto completoHeitz, Christoph, Roman Etschmann, Raoul Stoeckle, Thomas Bachmann y Matthias Templ. "User-Based Redistribution in Free-Floating Bike Sharing Systems". En Operations Research Proceedings, 555–62. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-18500-8_69.
Texto completoSun, Shouheng y Myriam Ertz. "Environmental Impact of Free-Floating Bike Sharing: From Life Cycle Perspective". En Handbook of Solid Waste Management, 2255–80. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-4230-2_88.
Texto completoSun, Shouheng y Myriam Ertz. "Environmental Impact of Free-Floating Bike Sharing: From Life Cycle Perspective". En Handbook of Solid Waste Management, 1–26. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-7525-9_88-1.
Texto completoCaggiani, Leonardo, Michele Ottomanelli, Rosalia Camporeale y Mario Binetti. "Spatio-temporal Clustering and Forecasting Method for Free-Floating Bike Sharing Systems". En Advances in Intelligent Systems and Computing, 244–54. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48944-5_23.
Texto completoHeitz, Christoph, Marc Blume, Corinne Scherrer, Raoul Stöckle y Thomas Bachmann. "Designing Value Co-creation for a Free-Floating e-Bike-Sharing System". En Smart Service Systems, Operations Management, and Analytics, 113–25. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-30967-1_11.
Texto completoChen, Tzu-Hao, Chit-Jie Chew, Ying-Chin Chen y Jung-San Lee. "Preserving Collusion-Free and Traceability in Car-Sharing System Based on Blockchain". En Communications in Computer and Information Science, 613–24. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-9582-8_54.
Texto completoLiang, Wenjia, Jianru Hao y Liguo Zhang. "Travel Behavior Analysis for Free-Floating Bike Sharing Systems Based on Markov-Chain Models". En Positive Systems, 127–45. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-04327-8_11.
Texto completoNeijmeijer, Nout, Frederik Schulte, Kevin Tierney, Henk Polinder y Rudy R. Negenborn. "Dynamic Pricing for User-Based Rebalancing in Free-Floating Vehicle Sharing: A Real-World Case". En Lecture Notes in Computer Science, 443–56. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-59747-4_29.
Texto completoActas de conferencias sobre el tema "Free Floating Car Sharing"
Dmitrienko, Alexandra y Christian Plappert. "Secure Free-Floating Car Sharing for Offline Cars". En CODASPY '17: Seventh ACM Conference on Data and Application Security and Privacy. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3029806.3029807.
Texto completoWeikl, S. y K. Bogenberger. "Relocation strategies and algorithms for free-floating Car Sharing Systems". En 2012 15th International IEEE Conference on Intelligent Transportation Systems - (ITSC 2012). IEEE, 2012. http://dx.doi.org/10.1109/itsc.2012.6338869.
Texto completoMartin, Gregory, Matthieu Donain, Elisa Fromont, Tias Guns, Laurence Roze y Alexandre Termier. "Prediction-Based Fleet Relocation for Free Floating Car Sharing Services". En 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2021. http://dx.doi.org/10.1109/ictai52525.2021.00187.
Texto completoIwata, Yuto y Shigeo Matsubara. "Usage Coordination Utilizing Flexible Contracts in Free-floating Car Sharing". En 2021 IEEE International Conference on Agents (ICA). IEEE, 2021. http://dx.doi.org/10.1109/ica54137.2021.00010.
Texto completoKypriadis, Damianos, Charalampos Konstantopoulos, Grammati Pantziou y Damianos Gavalas. "An Efficient Scheme for Dynamic Car Relocation in Free-Floating Car-Sharing Systems". En 2019 IEEE International Smart Cities Conference (ISC2). IEEE, 2019. http://dx.doi.org/10.1109/isc246665.2019.9071681.
Texto completoKypriadis, Damianos, Grammati Pantziou, Charalampos Konstantopoulos y Damianos Gavalas. "Minimum Walking Static Repositioning in Free-Floating Electric Car-Sharing Systems". En 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2018. http://dx.doi.org/10.1109/itsc.2018.8569912.
Texto completoOllora Zaballa, Eder. "Exploiting free-floating car sharing rewards to support a free year of daily commute". En 2020 IEEE 20th Mediterranean Electrotechnical Conference ( MELECON). IEEE, 2020. http://dx.doi.org/10.1109/melecon48756.2020.9140671.
Texto completoCocca, Michele, Danilo Giordano, Marco Mellia y Luca Vassio. "Free Floating Electric Car Sharing in Smart Cities: Data Driven System Dimensioning". En 2018 IEEE International Conference on Smart Computing (SMARTCOMP). IEEE, 2018. http://dx.doi.org/10.1109/smartcomp.2018.00088.
Texto completoFormentin, Simone, Andrea G. Bianchessi y Sergio M. Savaresi. "On the prediction of future vehicle locations in free-floating car sharing systems". En 2015 IEEE Intelligent Vehicles Symposium (IV). IEEE, 2015. http://dx.doi.org/10.1109/ivs.2015.7225816.
Texto completoCocca, Michele, Danilo Giordano, Marco Mellia y Luca Vassio. "Data Driven Optimization of Charging Station Placement for EV Free Floating Car Sharing". En 2018 21st International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2018. http://dx.doi.org/10.1109/itsc.2018.8569256.
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