Academic literature on the topic 'Mobility prediction'
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Journal articles on the topic "Mobility prediction"
Burbey, Ingrid, and Thomas L. Martin. "A survey on predicting personal mobility." International Journal of Pervasive Computing and Communications 8, no. 1 (March 30, 2012): 5–22. http://dx.doi.org/10.1108/17427371211221063.
Full textKareem Mhalhal, Nabaa, and Suhad Faisal Behadili. "Mobility Prediction Based on LSTM Multi-Layer Using GPS Phone Data." Iraqi Journal for Electrical and Electronic Engineering 21, no. 2 (February 28, 2025): 284–92. https://doi.org/10.37917/ijeee.21.2.25.
Full textGuo, Bao, Hu Yang, Fan Zhang, and Pu Wang. "A Hierarchical Passenger Mobility Prediction Model Applicable to Large Crowding Events." Journal of Advanced Transportation 2022 (June 1, 2022): 1–12. http://dx.doi.org/10.1155/2022/7096153.
Full textSánchez-Rada, J. Fernando, Raquel Vila-Rodríguez, Jesús Montes, and Pedro J. Zufiria. "Predicting the Aggregate Mobility of a Vehicle Fleet within a City Graph." Algorithms 17, no. 4 (April 19, 2024): 166. http://dx.doi.org/10.3390/a17040166.
Full textCadger, Fraser, Kevin Curran, Jose Santos, and Sandra Moffet. "Opportunistic Neighbour Prediction Using an Artificial Neural Network." International Journal of Advanced Pervasive and Ubiquitous Computing 7, no. 2 (April 2015): 38–50. http://dx.doi.org/10.4018/ijapuc.2015040104.
Full textYu, Zhiyong, Zhiwen Yu, and Yuzhong Chen. "Multi-hop Mobility Prediction." Mobile Networks and Applications 21, no. 2 (December 19, 2015): 367–74. http://dx.doi.org/10.1007/s11036-015-0668-2.
Full textGuo, Bao, Kaipeng Wang, Hu Yang, Fan Zhang, and Pu Wang. "A New Individual Mobility Prediction Model Applicable to Both Ordinary Conditions and Large Crowding Events." Journal of Advanced Transportation 2023 (June 27, 2023): 1–14. http://dx.doi.org/10.1155/2023/3463330.
Full textTeixeira, Douglas Do Couto, Aline Carneiro Viana, Jussara M. Almeida, and Mrio S. Alvim. "The Impact of Stationarity, Regularity, and Context on the Predictability of Individual Human Mobility." ACM Transactions on Spatial Algorithms and Systems 7, no. 4 (June 21, 2021): 1–24. http://dx.doi.org/10.1145/3459625.
Full textComito, Carmela. "Human Mobility Prediction Through Twitter." Procedia Computer Science 134 (2018): 129–36. http://dx.doi.org/10.1016/j.procs.2018.07.153.
Full textMemon, Ambreen, Sardar M. N. Islam, Muhammad Nadeem Ali, and Byung-Seo Kim. "Enhancing Energy Efficiency of Sensors and Communication Devices in Opportunistic Networks Through Human Mobility Interaction Prediction." Sensors 25, no. 5 (February 26, 2025): 1414. https://doi.org/10.3390/s25051414.
Full textDissertations / Theses on the topic "Mobility prediction"
Dong, Fang. "Moving Object Trajectory Based Spatio-Temporal Mobility Prediction." Thesis, KTH, Geodesi och geoinformatik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-99033.
Full textBergh, Andre E. "Prediction assisted fast handovers for seamless IP mobility." Master's thesis, University of Cape Town, 2006. http://hdl.handle.net/11427/5248.
Full textVenkatachalaiah, Suresh, and suresh@catt rmit edu au. "Mobility prediction and Multicasting in Wireless Networks: Performance and Analysis." RMIT University. Electrical and Computer Engineering, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20070301.130037.
Full textBaumann, Paul. "Human Mobility and Application Usage Prediction Algorithms for Mobile Devices." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-212427.
Full textChen, Guangshuo. "Human Habits Investigation : from Mobility Reconstruction to Mobile Traffic Prediction." Thesis, Université Paris-Saclay (ComUE), 2018. http://www.theses.fr/2018SACLX026/document.
Full textAljeri, Noura. "Efficient AI and Prediction Techniques for Smart 5G-enabled Vehicular Networks." Thesis, Université d'Ottawa / University of Ottawa, 2020. http://hdl.handle.net/10393/41497.
Full textPamuluri, Harihara Reddy. "Predicting User Mobility using Deep Learning Methods." Thesis, Blekinge Tekniska Högskola, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-19340.
Full textBaumann, Paul [Verfasser]. "Human Mobility and Application Usage Prediction Algorithms for Mobile Devices / Paul Baumann." München : Verlag Dr. Hut, 2016. http://d-nb.info/1120763134/34.
Full textSenatore, Carmine. "Prediction of mobility, handling, and tractive efficiency of wheeled off-road vehicles." Diss., Virginia Tech, 2010. http://hdl.handle.net/10919/37781.
Full textLui, Sin Ting Angela. "Enhancing stochastic mobility prediction models for robust planetary navigation on unstructured terrain." Thesis, The University of Sydney, 2014. http://hdl.handle.net/2123/12904.
Full textBooks on the topic "Mobility prediction"
Davis, Andy. Predicting arsenic mobility as part of the Anaconda Sewage Treatment Lagoon Waterfowl Project. Place of publication not identified]: Camp Dresser & McKee, 1986.
Find full textZhang, Haoran. Handbook of Mobility Data Mining, Volume 2: Mobility Analytics and Prediction. Elsevier, 2023.
Find full textZhang, Haoran. Handbook of Mobility Data Mining, Volume 2: Mobility Analytics and Prediction. Elsevier, 2023.
Find full textNyangaresi, Vincent. Statistical Analysis of the GSM (Global System for Mobile Communications) Mobility Prediction Models. GRIN Verlag GmbH, 2017.
Find full textMorita, Hodaka. US–Japanese Differences in Employment Practices. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198812555.003.0009.
Full textBurton, Anthony Kim. Patterns of lumbar sagittal mobility and their predictive value in the natural history of back and sciativ pain. 1987.
Find full textSIMVEC – Simulation und Erprobung in der Fahrzeugentwicklung. VDI Verlag, 2018. http://dx.doi.org/10.51202/9783181023334.
Full textInnovative Antriebe 2018. VDI Verlag, 2018. http://dx.doi.org/10.51202/9783181023341.
Full textNielsen, François. Genes and Status Achievement. Edited by Rosemary L. Hopcroft. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780190299323.013.22.
Full textTrussell, Jessica W., and M. Christina Rivera. Word Identification and Adolescent Deaf and Hard-of-Hearing Readers. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190880545.003.0011.
Full textBook chapters on the topic "Mobility prediction"
Tympakianaki, Athina, Mohammadmahdi Rahimiasl, Charis Chalkiadakis, Monica Dominguez, Ynte Vanderhoydonc, Jordi Casas, Eleni I. Vlahogianni, and Siegfried Mercelis. "Predicting Demand and Supply in a Real-Time Traffic Management Framework." In Lecture Notes in Mobility, 356–62. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-85578-8_45.
Full textKim, Hyong S., and Wee-Seng Soh. "Mobility Prediction for QoS Provisioning." In Mobile and Wireless Internet, 77–108. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0225-8_4.
Full textZhang, Haijun, and Ning Yang. "Learning Traffic and Mobility Prediction." In Deep Learning in Wireless Communications, 89–107. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-6314-6_5.
Full textOikonomou, Maria G., Apostolos Ziakopoulos, Shanna Lucchesi, Monica Olyslagers, and George Yannis. "Traffic Simulation and Safety Assessment Requirements for Enhancing Road Safety Prediction Tools." In Lecture Notes in Mobility, 809–16. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-85578-8_109.
Full textSilveira-Santos, Tulio, Anestis Papanikolaou, Thais Rangel, and Jose Manuel Vassallo. "Exploring the Dynamics of Ride-Hailing Fares in Madrid: A Machine Learning Approach." In Lecture Notes in Mobility, 549–55. Cham: Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-85578-8_73.
Full textBerradi, Zahra, Mohamed Lazaar, Oussama Mahboub, Hicham Omara, and Halim Berradi. "Stock Market Prediction Based on Advanced LSTM Models." In Smart Mobility and Industrial Technologies, 163–70. Cham: Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-46849-0_18.
Full textYao, Yao, and Zijin Guo. "Prediction and Analysis of Urban Mobility Based on Attention Mechanism and Geographic Information Embedding." In Urban Human Mobility, 85–100. Boca Raton: CRC Press, 2025. https://doi.org/10.1201/9781003503262-12.
Full textNaretto, Francesca, Roberto Pellungrini, Salvatore Rinzivillo, and Daniele Fadda. "EXPHLOT: EXplainable Privacy Assessment for Human LOcation Trajectories." In Discovery Science, 325–40. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45275-8_22.
Full textGeorgiou, Harris, Petros Petrou, Panagiotis Tampakis, Stylianos Sideridis, Eva Chondrodima, Nikos Pelekis, and Yannis Theodoridis. "Future Location and Trajectory Prediction." In Big Data Analytics for Time-Critical Mobility Forecasting, 215–54. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-45164-6_8.
Full textSamaan, Nancy, and Ahmed Karmouch. "An Evidence-Based Mobility Prediction Agent Architecture." In Lecture Notes in Computer Science, 230–39. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-39646-8_22.
Full textConference papers on the topic "Mobility prediction"
Saputra, Ragil, Suprapto, and Agus Sihabuddin. "Mobility Prediction Using Markov Models: A Survey." In 2024 7th International Conference on Informatics and Computational Sciences (ICICoS), 508–13. IEEE, 2024. http://dx.doi.org/10.1109/icicos62600.2024.10636860.
Full textHan, Zengyi, Xuefu Dong, Liqiang Xu, Zhen Zhu, En Wang, Yuuki Nishiyama, and Kaoru Sezaki. "RideGuard: Micro-Mobility Steering Maneuver Prediction with Smartphones." In 2024 IEEE 44th International Conference on Distributed Computing Systems (ICDCS), 1039–49. IEEE, 2024. http://dx.doi.org/10.1109/icdcs60910.2024.00100.
Full textLiu, Yuan, Xiaonan Chen, Zhou Lin, Yi-shou Wang, Qifeng Zhou, and Xinlin Qing. "Aeroengine Gas Path Parameter Trend Prediction Based on LSTM." In SAE 2023 Intelligent Urban Air Mobility Symposium. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2023. http://dx.doi.org/10.4271/2023-01-7087.
Full textSuzuki, Masahiro, Shomu Furuta, and Yusuke Fukazawa. "Personalized human mobility prediction for HuMob challenge." In HuMob-Challenge '23: 1st International Workshop on the Human Mobility Prediction Challenge. New York, NY, USA: ACM, 2023. http://dx.doi.org/10.1145/3615894.3628501.
Full textWu, Xigang, Duanfeng Chu, Zejian Deng, Guipeng Xin, Hongxiang Liu, and Liping Lu. "Vehicle Trajectory Prediction in Highway Merging Area Using Interactive Graph Attention Mechanism." In SAE 2023 Intelligent Urban Air Mobility Symposium. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 2023. http://dx.doi.org/10.4271/2023-01-7110.
Full textFan, Zhaoya, Jichao Chen, Tao Zhang, Ning Shi, and Wei Zhang. "Machine Learning for Formation Tightness Prediction and Mobility Prediction." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206208-ms.
Full textKhan, Saeed, Ash Rahimi, and Neil Bergmann. "Urban Mobility Prediction Using Twitter." In 2020 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech). IEEE, 2020. http://dx.doi.org/10.1109/dasc-picom-cbdcom-cyberscitech49142.2020.00082.
Full textSun, Michael H., and Douglas M. Blough. "Mobility prediction using future knowledge." In the 10th ACM Symposium. New York, New York, USA: ACM Press, 2007. http://dx.doi.org/10.1145/1298126.1298167.
Full textLiu, Lu, Junyao Guo, Sihai Zhang, and Jinkang Zhu. "Similar User Assisted Mobility Prediction." In 2019 11th International Conference on Wireless Communications and Signal Processing (WCSP). IEEE, 2019. http://dx.doi.org/10.1109/wcsp.2019.8928002.
Full textDang, Minling, Zhiwen Yu, Liming Chen, Zhu Wang, Bin Guo, and Chris Nugent. "Human Mobility: Prediction and Predictability." In 2024 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops). IEEE, 2024. http://dx.doi.org/10.1109/percomworkshops59983.2024.10502436.
Full textReports on the topic "Mobility prediction"
Kumar, Kaushal, and Yupeng Wei. Attention-Based Data Analytic Models for Traffic Flow Predictions. Mineta Transportation Institute, March 2023. http://dx.doi.org/10.31979/mti.2023.2211.
Full textBradley, Thomas. Research Performance Final Report: Mobility and Energy Improvements Realized through Prediction-based Vehicle Powertrain Control and Traffic Management. Office of Scientific and Technical Information (OSTI), May 2022. http://dx.doi.org/10.2172/1868335.
Full textYang, Yu, and Hen-Geul Yeh. Electrical Vehicle Charging Infrastructure Design and Operations. Mineta Transportation Institute, July 2023. http://dx.doi.org/10.31979/mti.2023.2240.
Full textEylander, John, Michael Lewis, Maria Stevens, John Green, and Joshua Fairley. An investigation of the feasibility of assimilating COSMOS soil moisture into GeoWATCH. Engineer Research and Development Center (U.S.), September 2021. http://dx.doi.org/10.21079/11681/41966.
Full textAudoly, Richard, Rory McGee, Sergio Ocampo, and Gonzalo Paz-Pardo. The Life-Cycle Dynamics of Wealth Mobility. Federal Reserve Bank of New York, April 2024. http://dx.doi.org/10.59576/sr.1097.
Full textPolicy Support Activity, Myanmar Agriculture. Is poverty in Myanmar on the rise? Poverty predictions from Google mobility data. Washington, DC: International Food Policy Research Institute, 2021. http://dx.doi.org/10.2499/p15738coll2.134385.
Full textAlbrecht, Jochen, Andreas Petutschnig, Laxmi Ramasubramanian, Bernd Resch, and Aleisha Wright. Comparing Twitter and LODES Data for Detecting Commuter Mobility Patterns. Mineta Transportation Institute, May 2021. http://dx.doi.org/10.31979/mti.2021.2037.
Full textTarko, Andrew P., Raul Pineda-Mendez, and Qiming Guo. Predicting the Impact of Changing Speed Limits on Traffic Safety and Mobility on Indiana Freeways. Purdue University, December 2019. http://dx.doi.org/10.5703/1288284316922.
Full textWong, J. Y., C. Senatore, P. Jayakumar, and K. Iagnemma. Predicting Mobility Performance of a Small, Lightweight Track System Using the Computer-Aided Method NTVPM. Fort Belvoir, VA: Defense Technical Information Center, April 2015. http://dx.doi.org/10.21236/ada615244.
Full textBenekohal, Rahim, and Hongjae Jeon. Results of Work Zone Queue Analysis Training Classes. Illinois Center for Transportation, November 2023. http://dx.doi.org/10.36501/0197-9191/23-024.
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