16.7.2.7.1 Urban Mobility Analysis

Chapter Contents (Back)
Mobility. Transit Mobility.

Zegeye, S.K., de Schutter, B., Hellendoorn, J., Breunesse, E.A., Hegyi, A.,
A Predictive Traffic Controller for Sustainable Mobility Using Parameterized Control Policies,
ITS(13), No. 3, September 2012, pp. 1420-1429.
IEEE DOI 1209
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Dalla Chiara, B.[Bruno], Cornaglia, L.[Lorenza], Deflorio, F.[Francesco],
Macro-analysis of the evolution of motorised mobility and relationships with the development of motionless communication systems,
IET-ITS(10), No. 9, 2016, pp. 613-621.
DOI Link 1609
automobiles BibRef

Yin, J.J.[Jun-Jun], Gao, Y.Z.[Yi-Zhao], Du, Z.H.[Zhen-Hong], Wang, S.W.[Shao-Wen],
Exploring Multi-Scale Spatiotemporal Twitter User Mobility Patterns with a Visual-Analytics Approach,
IJGI(5), No. 10, 2016, pp. 187.
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And: Correction: IJGI(5), No. 12, 2016, pp. 226.
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El Mahrsi, M.K., Côme, E., Oukhellou, L., Verleysen, M.,
Clustering Smart Card Data for Urban Mobility Analysis,
ITS(18), No. 3, March 2017, pp. 712-728.
IEEE DOI 1703
Data mining BibRef

Andrienko, G., Andrienko, N., Chen, W., Maciejewski, R., Zhao, Y.,
Visual Analytics of Mobility and Transportation: State of the Art and Further Research Directions,
ITS(18), No. 8, August 2017, pp. 2232-2249.
IEEE DOI 1708
Computers, Planning, Trajectory, Transportation, Visual analytics, Data visualization, graphical user interfaces, interactive, systems BibRef

Amar, H.M., Basir, O.A.,
A Bargaining-Based Solution to the Team Mobility Planning Game,
ITS(19), No. 3, March 2018, pp. 854-867.
IEEE DOI 1804
Game theory, Games, Planning, Public transportation, Routing, Vehicles, Team mobility planning, bargaining models, cooperative systems, intelligent transportation system BibRef

Guo, X.H.[Xiao-Hui], Zhang, R.C.[Ri-Chong], Liu, X.D.[Xu-Dong], Huai, J.P.[Jin-Peng],
Human mobility semantics analysis: A probabilistic and scalable approach,
GeoInfo(22), No. 3, July 2018, pp. 507-539.
WWW Link. 1807
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Kumar, D., Wu, H., Rajasegarar, S., Leckie, C., Krishnaswamy, S., Palaniswami, M.,
Fast and Scalable Big Data Trajectory Clustering for Understanding Urban Mobility,
ITS(19), No. 11, November 2018, pp. 3709-3722.
IEEE DOI 1812
Big Data, Global Positioning System, pattern clustering, road traffic, traffic engineering computing, Dunns indices, trajectory distance measures BibRef

Keimer, A., Laurent-Brouty, N., Farokhi, F., Signargout, H., Cvetkovic, V., Bayen, A.M., Johansson, K.H.,
Information Patterns in the Modeling and Design of Mobility Management Services,
PIEEE(106), No. 4, April 2018, pp. 554-576.
IEEE DOI 1804
Atmospheric modeling, Behavioral sciences, Congestion control, Mathematical model, Mobile communication, Pattern formation, wardrop BibRef

Crivellari, A.[Alessandro], Beinat, E.[Euro],
From Motion Activity to Geo-Embeddings: Generating and Exploring Vector Representations of Locations, Traces and Visitors through Large-Scale Mobility Data,
IJGI(8), No. 3, 2019, pp. xx-yy.
DOI Link 1903
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Zhang, F.[Fan], Wu, L.[Lun], Zhu, D.[Di], Liu, Y.[Yu],
Social sensing from street-level imagery: A case study in learning spatio-temporal urban mobility patterns,
PandRS(153), 2019, pp. 48-58.
Elsevier DOI 1906
Street-level imagery, Urban physical environment, Urban mobility, Social sensing, Deep learning BibRef

Parsafard, M., Chi, G., Qu, X., Li, X., Wang, H.,
Error Measures for Trajectory Estimations With Geo-Tagged Mobility Sample Data,
ITS(20), No. 7, July 2019, pp. 2566-2583.
IEEE DOI 1907
Trajectory, Geography, Measurement uncertainty, Social network services, Time measurement, Estimation error, activity range BibRef

Yang, Y.X.[Yuan-Xuan], Heppenstall, A.[Alison], Turner, A.[Andy], Comber, A.[Alexis],
Who, Where, Why and When? Using Smart Card and Social Media Data to Understand Urban Mobility,
IJGI(8), No. 6, 2019, pp. xx-yy.
DOI Link 1908
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Wang, X.M.[Xu-Meng], Gu, T.L.[Tian-Long], Luo, X.N.[Xiao-Nan], Cai, X.[Xiwen], Lao, T.Y.[Tian-Yi], Chen, W.L.[Wen-Long], Wu, Y.C.[Ying-Cai], Yu, J.H.[Jin-Hui], Chen, W.[Wei],
A User Study on the Capability of Three Geo-Based Features in Analyzing and Locating Trajectories,
ITS(20), No. 9, September 2019, pp. 3375-3385.
IEEE DOI 1909
human mobility. Trajectory, Privacy, Task analysis, Correlation, Data privacy, Visualization, Roads, Periodic trajectory, location privacy, geo-based context BibRef

Bantis, T.[Thanos], Haworth, J.[James],
Non-Employment Activity Type Imputation from Points of Interest and Mobility Data at an Individual Level: How Accurate Can We Get?,
IJGI(8), No. 12, 2019, pp. xx-yy.
DOI Link 1912
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Chen, M., Yu, X., Liu, Y.,
TraLFM: Latent Factor Modeling of Traffic Trajectory Data,
ITS(20), No. 12, December 2019, pp. 4624-4634.
IEEE DOI 2001
Trajectory, Data models, Semantics, Data mining, Cameras, Public transportation, Surveillance, Human mobility patterns, generative model BibRef

Xu, Z.Z.[Zhen-Zhou], Cui, G.[Ge], Zhong, M.[Ming], Wang, X.[Xin],
Anomalous Urban Mobility Pattern Detection Based on GPS Trajectories and POI Data,
IJGI(8), No. 7, 2019, pp. xx-yy.
DOI Link 1908
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You, L., Zhao, F., Cheah, L., Jeong, K., Zegras, P.C., Ben-Akiva, M.,
A Generic Future Mobility Sensing System for Travel Data Collection, Management, Fusion, and Visualization,
ITS(21), No. 10, October 2020, pp. 4149-4160.
IEEE DOI 2010
Frequency modulation, Sensors, Data visualization, Data collection, Data mining, Data integration, Urban areas, Mobility sensing flow, travel survey BibRef

Herberth, R., Menz, L., Körper, S., Luo, C., Gauterin, F., Gerlicher, A., Wang, Q.,
Identifying Atypical Travel Patterns for Improved Medium-Term Mobility Prediction,
ITS(21), No. 12, December 2020, pp. 5010-5021.
IEEE DOI 2012
Intelligent transportation systems, Neural networks, Predictive models, Machine learning, Clustering methods, Entropy, intelligent transportation system BibRef

Liu, Q.L.[Qi-Liang], Huan, W.H.[Wei-Hua], Deng, M.[Min], Zheng, X.L.[Xiao-Lin], Yuan, H.T.[Hao-Tao],
Inferring Urban Land Use from Multi-Source Urban Mobility Data Using Latent Multi-View Subspace Clustering,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Senousi, A.M.[Ahmad M.], Zhang, J.W.[Jun-Wei], Shi, W.Z.[Wen-Zhong], Liu, X.T.[Xin-Tao],
A Proposed Framework for Identification of Indicators to Model High-Frequency Cities,
IJGI(10), No. 5, 2021, pp. xx-yy.
DOI Link 2106
Rapid changes due to mobility. BibRef

Zhu, G.[Guimin], Stewart, K.[Kathleen], Niemeier, D.[Deb], Fan, J.C.[Jun-Chuan],
Understanding the Drivers of Mobility during the COVID-19 Pandemic in Florida, USA Using a Machine Learning Approach,
IJGI(10), No. 7, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Wang, W.[Weiying], Osaragi, T.[Toshihiro],
Daily Human Mobility: A Reproduction Model and Insights from the Energy Concept,
IJGI(11), No. 4, 2022, pp. xx-yy.
DOI Link 2205
BibRef

Romero, O.[Oscar], Miura, A.S.[Aika Silveira], Parra, L.[Lorena], Lloret, J.[Jaime],
Low-Cost System for Automatic Recognition of Driving Pattern in Assessing Interurban Mobility using Geo-Information,
IJGI(11), No. 12, 2022, pp. xx-yy.
DOI Link 2301
BibRef

Alonso, A.[Andrea], Monzón, A.[Andrés], Aguiar, I.[Iago], Ramírez-Saiz, A.[Alba],
Explanatory Factors of Daily Mobility Patterns in Suburban Areas: Applications and Taxonomy of Two Metropolitan Corridors in Madrid Region,
IJGI(12), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Yin, Y.Z.[Yan-Zhong], Wu, Q.[Qunyong], Li, M.M.[Meng-Meng],
Characterizing Intercity Mobility Patterns for the Greater Bay Area in China,
IJGI(12), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Geng, L.[Li], Zhang, K.[Ke],
Correlation of Road Network Structure and Urban Mobility Intensity: An Exploratory Study Using Geo-Tagged Tweets,
IJGI(12), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Fernández-Arango, D.[David], Varela-García, F.A.[Francisco-Alberto], López-Fernández, J.[Jorge],
Dynamic Analysis of School Mobility Using Geolocation Web Technologies,
IJGI(12), No. 1, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Mahrez, Z.[Zineb], Sabir, E.[Essaid], Badidi, E.[Elarbi], Saad, W.[Walid], Sadik, M.[Mohamed],
Smart Urban Mobility: When Mobility Systems Meet Smart Data,
ITS(23), No. 7, July 2022, pp. 6222-6239.
IEEE DOI 2207
Urban areas, Roads, Vehicles, Safety, Europe, Real-time systems, Statistics, Artificial intelligence, autonomous vehicles, smart mobility BibRef

You, L.L.[Lin-Lin], Danaf, M.[Mazen], Zhao, F.[Fang], Guan, J.P.[Jin-Ping], Azevedo, C.L.[Carlos Lima], Atasoy, B.[Bilge], Ben-Akiva, M.[Moshe],
A Federated Platform Enabling a Systematic Collaboration Among Devices, Data and Functions for Smart Mobility,
ITS(24), No. 4, April 2023, pp. 4060-4074.
IEEE DOI 2304
Collaboration, Systematics, Sensors, Public transportation, Distributed databases, Data integration, Costs, Smart mobility, federated computing BibRef

Xu, H.[Haowen], Berres, A.[Andy], Yoginath, S.B.[Srikanth B.], Sorensen, H.[Harry], Nugent, P.J.[Phil J.], Severino, J.[Joseph], Tennille, S.A.[Sarah A.], Moore, A.[Alex], Jones, W.[Wesley], Sanyal, J.[Jibonananda],
Smart Mobility in the Cloud: Enabling Real-Time Situational Awareness and Cyber-Physical Control Through a Digital Twin for Traffic,
ITS(24), No. 3, March 2023, pp. 3145-3156.
IEEE DOI 2303
Digital twins, Real-time systems, Transportation, Urban areas, Measurement, Analytical models, Sensors, traffic monitoring BibRef

Wang, Y.R.[Yu-Run], Zhao, P.[Pu], Xie, S.[Senkai], Zhang, W.J.[Wen-Jia],
Mesoscale Structure in Urban-Rural Mobility Networks in the Pearl River Delta Area: A Weighted Stochastic Block Modeling Analysis,
IJGI(12), No. 5, 2023, pp. xx-yy.
DOI Link 2306
BibRef

Chen, E.[Enhui], Liu, Y.[Yang], Yang, M.[Min],
Revealing Senior Mobility Patterns and Activities in Urban Transit Systems,
ITS(24), No. 10, October 2023, pp. 11424-11437.
IEEE DOI 2310
BibRef

da Costa, J.B.D.[Joahannes B. D.], de Souza, A.M.[Allan M.], Meneguette, R.I.[Rodolfo I.], Cerqueira, E.[Eduardo], Rosário, D.[Denis], Sommer, C.[Christoph], Villas, L.[Leandro],
Mobility and Deadline-Aware Task Scheduling Mechanism for Vehicular Edge Computing,
ITS(24), No. 10, October 2023, pp. 11345-11359.
IEEE DOI 2310
BibRef

Chen, C.X.[Chen-Xi], Hu, X.[Xianbiao], Li, Y.[Yang], Tang, Q.[Qing],
Optimization of Privacy Budget Allocation In Differential Privacy-Based Public Transit Trajectory Data Publishing for Smart Mobility Applications,
ITS(24), No. 12, December 2023, pp. 15158-15168.
IEEE DOI 2312
BibRef

Yao, Y.H.[Yu-Hao], Zhang, H.R.[Hao-Ran], Shi, X.D.[Xiao-Dan], Chen, J.[Jinyu], Li, W.J.[Wen-Jing], Song, X.[Xuan], Shibasaki, R.[Ryosuke],
LTP-Net: Life-Travel Pattern Based Human Mobility Signature Identification,
ITS(24), No. 12, December 2023, pp. 14306-14319.
IEEE DOI 2312
BibRef

Deveci, M.[Muhammet], Pamucar, D.[Dragan], Gokasar, I.[Ilgin], Köppen, M.[Mario], Gupta, B.B.[Brij B.],
Personal Mobility in Metaverse With Autonomous Vehicles Using Q-Rung Orthopair Fuzzy Sets Based OPA-RAFSI Model,
ITS(24), No. 12, December 2023, pp. 15642-15651.
IEEE DOI 2312
BibRef

Fong, B.[Bernard], Fong, A.C.M.[Alvis C. M.], Hong, G.Y.[Guan Y.],
Sustainable Micromobility Management in Smart Cities,
ITS(24), No. 12, December 2023, pp. 15890-15896.
IEEE DOI 2312
BibRef

Bucchiarone, A.[Antonio], Bassanelli, S.[Simone], Luca, M.[Massimiliano], Centellegher, S.[Simone], Cipriano, P.[Piergiorgio], Giovannini, L.[Luca], Lepri, B.[Bruno], Marconi, A.[Annapaola],
Play&Go Corporate: An End-to-End Solution for Facilitating Urban Cyclability,
ITS(24), No. 12, December 2023, pp. 15830-15843.
IEEE DOI 2312
BibRef

Vallejos, S.[Sebastián], Berdun, L.[Luis], Armentano, M.[Marcelo], Schiaffino, S.[Silvia], Godoy, D.[Daniela],
A Lightweight Approach for Building User Mobility Profiles,
IJGI(13), No. 1, 2024, pp. 11.
DOI Link 2402
BibRef

Andrei, L.[Liliana], Luca, O.[Oana],
Assessing the Transformative Potential: An Examination of the Urban Mobility Impact Based on an Open-Source Microscopic Traffic Simulator for Autonomous Vehicles,
IJGI(13), No. 1, 2024, pp. 16.
DOI Link 2402
BibRef

Ye, L.[Ling], Song, W.X.[Wei-Xuan], He, M.[Miao], Liu, C.H.[Chun-Hui],
The Patterns and Mechanisms of Residential Mobility in Nanjing, China: Insights from the Mantel Test,
IJGI(13), No. 1, 2024, pp. 17.
DOI Link 2402
BibRef

Chen, Y.[Yong], Xie, N.[Ningke], Xu, H.[Haoge], Chen, X.[Xiqun], Lee, D.H.[Der-Horng],
A Multi-Context Aware Human Mobility Prediction Model Based on Motif-Preserving Travel Preference Learning,
ITS(25), No. 2, February 2024, pp. 2139-2152.
IEEE DOI 2402
Predictive models, Context modeling, Adaptation models, Logic gates, Feature extraction, Correlation, Transportation, social relations BibRef

Wang, W.Y.[Wei-Ying], Osaragi, T.[Toshihiro],
Learning Daily Human Mobility with a Transformer-Based Model,
IJGI(13), No. 2, 2024, pp. 35.
DOI Link 2402
BibRef


Ajmar, A., Arco, E., Boccardo, P.,
A Spatial Database Model for Mobility Management,
C3MGBD19(1495-1502).
DOI Link 1912
BibRef

Ajmar, A., Arco, E., Boccardo, P., Perez, F.,
Floating Car Data (fcd) for Mobility Applications,
C3MGBD19(1517-1523).
DOI Link 1912
BibRef

Partigöç, N.S., Erdin, H.E., Zengin Çelik, H., Silaydin Aydin, M.B.,
The Examination of Gathering Points' Capacity Regarding Mobility And Accessibility: Case of Bayrakli District,
Gi4DM18(413-419).
DOI Link 1805
BibRef

Orellana, D., Hermida, C., Osorio, P.,
A Multidisciplinary Analytical Framework For Studying Active Mobility Patterns,
ISPRS16(B2: 527-534).
DOI Link 1610
BibRef

Romoozi, M.[Morteza], Vahidipour, S.M., Babaei, H.[Hamideh],
Improvement of Connectivity in Mobile Ad Hoc Networks by Adding Static Nodes Based on a Realistic Mobility Model,
ICMV09(138-142).
IEEE DOI 0912
BibRef

Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Traffic Flow Prediction, Forecast .


Last update:May 6, 2024 at 15:50:14