Sagl, G.,
Loidl, M.,
Beinat, E.,
A Visual Analytics Approach for Extracting Spatio-Temporal Urban
Mobility Information from Mobile Network Traffic,
IJGI(1), No. 3, 2012, pp. 256-271.
DOI Link
1211
BibRef
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
BibRef
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.
DOI Link
1610
BibRef
And:
Correction:
IJGI(5), No. 12, 2016, pp. 226.
DOI Link
1612
BibRef
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
Zeng, W.,
Fu, C.W.,
Müller Arisona, S.,
Schubiger, S.,
Burkhard, R.,
Ma, K.L.,
Visualizing the Relationship Between Human Mobility and Points of
Interest,
ITS(18), No. 8, August 2017, pp. 2271-2284.
IEEE DOI
1708
Context, Data visualization, Public transportation, Trajectory,
Visual analytics, Human mobility,
data-driven intelligent transportation system,
point-of-interest, visual, analytics
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
Cui, H.F.[Hai-Fu],
Wu, L.[Liang],
Hu, S.[Sheng],
Lu, R.J.[Ru-Juan],
Wang, S.L.[Shan-Lin],
Recognition of Urban Functions and Mixed Use Based on Residents'
Movement and Topic Generation Model: The Case of Wuhan, China,
RS(12), No. 18, 2020, pp. xx-yy.
DOI Link
2009
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.W.[Hao-Wen],
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.Y.[Jin-Yu],
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
Chen, M.Y.[Ming-Yang],
Yuan, Q.[Quan],
Yang, C.[Chao],
Zhang, Y.L.[Yu-Liang],
Decoding Urban Mobility: Application of Natural Language Processing
and Machine Learning to Activity Pattern Recognition, Prediction, and
Temporal Transferability Examination,
ITS(25), No. 7, July 2024, pp. 7151-7173.
IEEE DOI
2407
Predictive models, Machine learning,
Biological system modeling, Natural language processing,
temporal transferability
BibRef
Long, W.C.[Wang-Chen],
Xiao, Z.[Zhu],
Jiang, H.B.[Hong-Bo],
Xiong, Y.[Yong],
Qin, Z.[Zheng],
Li, Y.[You],
Dustdar, S.[Schahram],
Learning Semantic Behavior for Human Mobility Trajectory Recovery,
ITS(25), No. 8, August 2024, pp. 8849-8864.
IEEE DOI
2408
Trajectory, Semantics, Behavioral sciences, Hidden Markov models,
Correlation, Intelligent transportation systems, attention mechanism
BibRef
Netzler, F.[Fabian],
Lienkamp, M.[Markus],
Privacy Preserving Human Mobility Generation Using Grid-Based Data
and Graph Autoencoders,
IJGI(13), No. 7, 2024, pp. 245.
DOI Link
2408
BibRef
Peng, B.[Bozhezi],
Wang, L.J.[Lan-Jing],
Wu, J.[Jiani],
Li, C.Y.[Chao-Yang],
Wang, T.[Tao],
Yuan, S.Q.[Sheng-Qiang],
Zhang, Y.[Yi],
Association between Built Environment and Bus Usage among Older Adults:
Urban-Rural Differences in the Nonlinearities,
IJGI(13), No. 9, 2024, pp. 316.
DOI Link
2410
BibRef
Xiang, Y.F.[Yin-Feng],
Li, C.[Chao],
He, S.[Shibo],
Chen, J.M.[Ji-Ming],
AGC-ODE: Adaptive Graph Controlled Neural ODE for Human Mobility
Prediction,
ITS(25), No. 11, November 2024, pp. 18449-18460.
IEEE DOI
2411
Mathematical models, COVID-19, Adaptation models,
Predictive models, Ordinary differential equations, Correlation,
neural ODE
BibRef
Jiang, W.H.[Wen-Hua],
Koutsopoulos, H.N.[Haris N.],
Ma, Z.[Zhenliang],
A Reverse Auction-Based Individualized Incentive System for Transit
Mobility Management,
ITS(25), No. 11, November 2024, pp. 15871-15885.
IEEE DOI
2411
Airline industry, System performance, Rails, Switches, Surveys,
Urban areas, Reviews, Reverse auction design, transit systems
BibRef
de Vizia, C.[Claudia],
Schiera, D.S.[Daniele Salvatore],
Macii, A.[Alberto],
Patti, E.[Edoardo],
Bottaccioli, L.[Lorenzo],
A Simulation Framework for Urban Electric Mobility Based on Limited
Widespread Data and Spatial Information,
ITS(25), No. 12, December 2024, pp. 19536-19548.
IEEE DOI
2412
Roads, Surveys, Europe, Vehicles, Urban areas, Stochastic processes,
Biological system modeling, Aerodynamics, Accuracy,
semi-Markov
BibRef
Zhang, Z.[Ziyi],
Li, D.[Diya],
Zhang, Z.[Zhe],
Duffield, N.[Nick],
Mining Spatiotemporal Mobility Patterns Using Improved Deep Time
Series Clustering,
IJGI(13), No. 11, 2024, pp. 374.
DOI Link
2412
BibRef
Bi, H.L.[Hua-Ling],
Zhang, S.Y.[Shi-Ying],
Lu, F.Q.[Fu-Qiang],
Analysis of Decoupling Effects and Influence Factors in
Transportation: Evidence from Guangdong Province, China,
IJGI(13), No. 11, 2024, pp. 404.
DOI Link
2412
BibRef
Ngossaha, J.M.[Justin Moskolaď],
Pidy, L.T.P.[Léonce Thérčse Pidy],
Karunathilake, T.[Thenuka],
Förster, A.[Anna],
Bowong, S.[Samuel],
Advancing urban mobility in developing countries: A mobile RSU
approach for sustainable transportation,
IET-ITS(18), No. 12, 2024, pp. 2502-2519.
DOI Link
2501
ad hoc networks, artificial intelligence, decision making,
sustainable development, traffic management and control, transportation
BibRef
Peng, B.[Bozhezi],
Zhang, Y.[Yi],
Wang, T.[Tao],
Li, C.Y.[Chao-Yang],
Exploring Nonlinear Effects of the Built Environment on Employment
Behavior Among Older Adults: Evidence from Metro Station Catchment
Areas,
IJGI(13), No. 12, 2024, pp. 420.
DOI Link
2501
BibRef
Mazzulla, G.[Gabriella],
Pirrone, C.G.[Carlo Giuseppe],
Accessibility Measures: From a Literature Review to a Classification
Framework,
IJGI(13), No. 12, 2024, pp. 450.
DOI Link
2501
BibRef
Kim, J.[Jeongyun],
Tak, S.[Sehyun],
Yoon, J.[Jinwon],
Yeo, H.[Hwasoo],
A study on identifying representative trips for mobility service
design,
IET-ITS(19), No. 1, 2025, pp. e12603.
DOI Link
2501
data reduction, principal component analysis,
traffic and demand managing, public transport
BibRef
Hossain, S.T.[Sharif Tousif],
Al-Ramadan, B.[Baqer],
Bilal, M.[Muhammad],
Altuwaijri, H.A.[Hamad Ahmed],
Enhancing Accessibility in Public Spaces:
A Computational Study of Hatirjheel Lakefront Using Space Syntax,
IJGI(14), No. 1, 2025, pp. 29.
DOI Link
2501
BibRef
Cheng, J.G.[Jin-Guo],
Li, K.[Ke],
Liang, Y.X.[Yu-Xuan],
Sun, L.J.[Li-Jun],
Yan, J.C.[Jun-Chi],
Wu, Y.K.[Yuan-Kai],
Rethinking Urban Mobility Prediction: A Multivariate Time Series
Forecasting Approach,
ITS(26), No. 2, February 2025, pp. 2543-2557.
IEEE DOI Code:
WWW Link.
2502
Time series analysis, Correlation, Videos, Forecasting, Transformers,
Frequency-domain analysis, Predictive models, Data models,
efficient attention mechanism
BibRef
Das, D.[Debadreeta],
Rana, M.K.[Manoj Kumar],
Sardar, B.[Bhaskar],
Pecorella, T.[Tommaso],
Saha, D.[Debashis],
A Comparative Analysis of Distributed Mobility Management Schemes for
5G-Based Intelligent Transportation Systems,
ITS(26), No. 2, February 2025, pp. 2434-2448.
IEEE DOI
2502
5G mobile communication, Servers, Computer architecture,
Microprocessors, Costs, Delays, Intelligent transportation systems,
distributed mobility management
BibRef
Ghafelebashi, A.[Ali],
Razaviyayn, M.[Meisam],
Dessouky, M.[Maged],
Incentive Systems for Fleets of New Mobility Services,
ITS(26), No. 2, February 2025, pp. 1826-1839.
IEEE DOI
2502
Organizations, Vehicles, Traffic congestion, Pricing, Routing, Costs,
Optimization, Urban areas, Roads, Computational modeling,
travel demand management
BibRef
Tang, Y.H.[Yi-Hong],
He, J.L.[Jun-Lin],
Zhao, Z.[Zhan],
Activity-Aware Human Mobility Prediction With Hierarchical Graph
Attention Recurrent Network,
ITS(26), No. 2, February 2025, pp. 1604-1616.
IEEE DOI Code:
WWW Link.
2502
Predictive models, Trajectory, Mobility models, Data models,
Urban planning, Intelligent transportation systems,
activity-based modeling
BibRef
Li, Y.[Yong],
Jin, D.P.[De-Peng],
Hui, P.[Pan],
Wang, Z.C.[Zhao-Cheng],
Chen, S.[Sheng],
Limits of Predictability for Large-Scale Urban Vehicular Mobility,
ITS(15), No. 6, December 2014, pp. 2671-2682.
IEEE DOI
1412
mobility management (mobile radio)
BibRef
Bi, H.[Hui],
Gao, H.[Hui],
Li, A.[Aoyong],
Zhu, H.[He],
Ye, Z.[Zhirui],
Urban Spatial Aggregation Issues in Transportation:
A New Homogeneity-Related Zone System,
ITS(26), No. 2, February 2025, pp. 1717-1727.
IEEE DOI
2502
Data mining, Aggregates, Data models, Analytical models, Accidents,
Telecommunications, Public transportation, Feature extraction,
urban structure
BibRef
Mańago, C.A.R.[Carlo Angelo R.],
Nasalita, M.G.[Marielle G.],
Saveron, C.V.[Cesar V.],
Sunga, Y.A.D.[Ynah Andrea D.],
Claridades, A.R.C.[Alexis Richard C.],
Development of a Fifteen-Minute City Index Using Walkability Scores
and Age-Classified Population: The Case of Pasig City, Metro Manila,
Philippines,
IJGI(14), No. 2, 2025, pp. 78.
DOI Link
2502
BibRef
Villanueva-Durbán, N.[Néstor],
Lorenzo-Sáez, E.[Edgar],
Lerma-Arce, V.[Victoria],
Coll-Aliaga, E.[Eloina],
Evaluation of Urban Accessibility Through Geomarketing Techniques:
Case Study in Valencia (Spain),
IJGI(14), No. 2, 2025, pp. 60.
DOI Link
2502
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 .