16.7.2.7.5 Traffic Flow Analysis Using Phone Signals, Cell Data, Wi-Fi data

Chapter Contents (Back)
Traffic Flow. Smart Highways. Phone Data. Using phone data for traffic. Including pedestrian movement.
See also Transportation Mode, Travel Mode, Transport Mode Detection.
See also Indoor Localization, Navigation Issues, Non-Image, Wi-Fi, Phone Positioning. Non-phone GPS papers:
See also Traffic Flow Analysis, GPS, GNSS.

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IEEE DOI 1706
Base stations, Matrix converters, Mobile communication, Mobile handsets, Time series analysis, Transportation, Urban areas, Base station, mobile phone data, passenger transportation hub, temporal-spatial clustering, wireless, communication BibRef

Zhou, C., Jia, H., Juan, Z., Fu, X., Xiao, G.,
A Data-Driven Method for Trip Ends Identification Using Large-Scale Smartphone-Based GPS Tracking Data,
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IEEE DOI 1708
Big data, Data models, Global Positioning System, Internet, Timing, Transportation, GPS tracking data processing, data-driven method, random forest, trip, ends, identification BibRef

Basyoni, Y.[Yarah], Abbas, H.M.[Hazem M.], Talaat, H.[Hoda], El Dimeery, I.[Ibrahim],
Speed prediction from mobile sensors using cellular phone-based traffic data,
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DOI Link 1710
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IEEE DOI 1709
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Crowdsensing-Based Consensus Incident Report for Road Traffic Acquisition,
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IEEE DOI 1808
Roads, Reliability, Sensors, Mobile communication, Inference algorithms, Smart phones, Wireless sensor networks, incentive BibRef

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ICPR14(432-437)
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Zhou, Z.P.[Zhu-Ping], Yang, J.[Jiwei], Qi, Y.[Yong], Cai, Y.F.[Yi-Fei],
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IEEE DOI 1907
Mobile handsets, Poles and towers, Data models, Estimation, Gravity, Transportation, Sociology, Gravity model, intra-zonal trips, trip distribution model BibRef

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Activity recognition, Deep learning, Feature selection, Mode technique, Post processing, Statistical classification, Smartphone sensors impact BibRef

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Combining Residual and LSTM Recurrent Networks for Transportation Mode Detection Using Multimodal Sensors Integrated in Smartphones,
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Feature extraction, Global Positioning System, Smart phones, Public transportation, Intelligent sensors, Context awareness, activity recognition BibRef

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ITS(23), No. 4, April 2022, pp. 3148-3157.
IEEE DOI 2204
Accelerometers, Magnetic sensors, Gyroscopes, Global Positioning System, Magnetometers, Cameras, sensor fusion BibRef

Zhang, K.[Kaisa], Chuai, G.[Gang], Zhang, J.X.[Jin-Xi], Chen, X.Y.[Xiang-Yu], Si, Z.W.[Zhi-Wei], Maimaiti, S.[Saidiwaerdi],
DIC-ST: A Hybrid Prediction Framework Based on Causal Structure Learning for Cellular Traffic and Its Application in Urban Computing,
RS(14), No. 6, 2022, pp. xx-yy.
DOI Link 2204
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IJGI(11), No. 5, 2022, pp. xx-yy.
DOI Link 2206
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Lu, D.[Danni], Li, Y.[Ye], Guo, F.[Feng],
Evaluating Spatial and Temporal Characteristics of Population Density Using Cellular Data,
ITS(23), No. 6, June 2022, pp. 5717-5726.
IEEE DOI 2206
Statistics, Sociology, Poles and towers, Urban areas, Transportation, Correlation, Planning, Cellular call detail record, traffic demand, megacities BibRef

Advani, C.[Chintan], Bhaskar, A.[Ashish], Haque, M.M.[Md. Mazharul], Cholette, M.E.[Michael E.],
STATER: Slit-Based Trajectory Reconstruction for Dense Urban Network With Overlapping Bluetooth Scanning Zones,
ITS(23), No. 7, July 2022, pp. 8316-8326.
IEEE DOI 2207
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Individual Differentiated Multidimensional Hawkes Model: Uncovering Urban Spatial Interaction Using Mobile-Phone Data,
ITS(23), No. 7, July 2022, pp. 7987-7997.
IEEE DOI 2207
Urban areas, Data models, Trajectory, Gravity, Spatiotemporal phenomena, Spatial databases, Urban planning, urban planning BibRef

Grujic, N.[Nastasija], Brdar, S.[Sanja], Osinga, S.[Sjoukje], Hofstede, G.J.[Gert Jan], Athanasiadis, I.N.[Ioannis N.], Pljakic, M.[Miloš], Obrenovic, N.[Nikola], Govedarica, M.[Miro], Crnojevic, V.[Vladimir],
Combining Telecom Data with Heterogeneous Data Sources for Traffic and Emission Assessments: An Agent-Based Approach,
IJGI(11), No. 7, 2022, pp. xx-yy.
DOI Link 2208
BibRef

Hadachi, A.[Amnir], Pourmoradnasseri, M.[Mozhgan],
A Survey on the Advancement of Travel Time Estimation Using Mobile Phone Network Data,
ITS(23), No. 8, August 2022, pp. 11779-11788.
IEEE DOI 2208
Estimation, Sensors, Roads, Mobile handsets, Global Positioning System, Cellular networks, Handover, urban mobility dynamics BibRef

Cai, M.[Ming], Zhang, Z.X.[Zi-Xuan], Xiong, C.[Chen], Gou, C.[Chao],
An Adaptive Staying Point Recognition Algorithm Based on Spatiotemporal Characteristics Using Cellular Signaling Data,
ITS(23), No. 8, August 2022, pp. 10458-10468.
IEEE DOI 2208
Spatiotemporal phenomena, Trajectory, Clustering algorithms, Modeling, Cleaning, Cellular phones, Base stations, clustering method BibRef

Li, Z.S.[Zhi-Shuai], Xiong, G.[Gang], Wei, Z.B.[Ze-Bing], Zhang, Y.[Yu], Zheng, M.[Meng], Liu, X.L.[Xiao-Li], Tarkoma, S.[Sasu], Huang, M.[Min], Lv, Y.S.[Yi-Sheng], Wu, C.[Chuheng],
Trip Purposes Mining From Mobile Signaling Data,
ITS(23), No. 8, August 2022, pp. 13190-13202.
IEEE DOI 2208
Cellular networks, Trajectory, Semantics, Unsupervised learning, Supervised learning, Resource management, Public transportation, big data BibRef

Zia, M.[Mohammed], Fürle, J.[Johannes], Ludwig, C.[Christina], Lautenbach, S.[Sven], Gumbrich, S.[Stefan], Zipf, A.[Alexander],
SocialMedia2Traffic: Derivation of Traffic Information from Social Media Data,
IJGI(11), No. 9, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Fu, X.[Xiao], Yu, G.[Guanyi], Liu, Z.Y.[Zhi-Yuan],
Spatial-Temporal Convolutional Model for Urban Crowd Density Prediction Based on Mobile-Phone Signaling Data,
ITS(23), No. 9, September 2022, pp. 14661-14673.
IEEE DOI 2209
Predictive models, Convolution, Hidden Markov models, Task analysis, Data models, Data mining, Deep learning, activity choice behavior BibRef

Jiang, H.H.[Hai-Hang], Yang, F.[Fei], Su, W.J.[Wei-Jie], Yao, Z.X.[Zhen-Xing], Dai, Z.[Zhuang],
Activity location recognition from mobile phone data using improved HAC and Bi-LSTM,
IET-ITS(16), No. 10, 2022, pp. 1364-1379.
DOI Link 2209
BibRef

Wei, Y.J.[Yi-Jun], Mahnaz, F.[Faria], Bulan, O.[Orhan], Mengistu, Y.[Yehenew], Mahesh, S.[Sheetal], Losh, M.A.[Michael A.],
Creating Semantic HD Maps From Aerial Imagery and Aggregated Vehicle Telemetry for Autonomous Vehicles,
ITS(23), No. 9, September 2022, pp. 15382-15395.
IEEE DOI 2209
Roads, Image edge detection, Feature extraction, Telemetry, Image segmentation, Navigation, Soft sensors, Autonomous vehicles, telemetry BibRef

Pintér, G.[Gergo], Felde, I.[Imre],
Commuting Analysis of the Budapest Metropolitan Area Using Mobile Network Data,
IJGI(11), No. 9, 2022, pp. xx-yy.
DOI Link 2209
BibRef

Daraio, E.[Elena], Cagliero, L.[Luca], Chiusano, S.[Silvia], Garza, P.[Paolo],
Complementing Location-Based Social Network Data With Mobility Data: A Pattern-Based Approach,
ITS(23), No. 11, November 2022, pp. 21216-21227.
IEEE DOI 2212
Urban areas, Social networking (online), Data models, Soft sensors, Data mining, Public transportation, Automobiles, sequential pattern mining BibRef

Yang, C.[Chao], Guo, T.Y.[Tang-Yi], Wang, Y.[Yinhai],
The Smartphone-Based Person Travel Survey System: Data Collection, Trip Extraction, and Travel Mode Detection,
ITS(23), No. 12, December 2022, pp. 23399-23407.
IEEE DOI 2212
Legged locomotion, Global Positioning System, Smart phones, Trajectory, Data collection, Interviews, Data mining, Travel survey, smartphone BibRef

Berjisian, E.[Elmira], Bigazzi, A.[Alexander],
Evaluation of map-matching algorithms for smartphone-based active travel data,
IET-ITS(17), No. 1, 2023, pp. 227-242.
DOI Link 2301
BibRef

Wang, F.[Fuyou], Gao, C.F.[Cheng-Fa], Shang, R.[Rui], Zhang, R.C.[Rui-Cheng], Gan, L.[Lu], Liu, Q.[Qi], Wang, J.C.[Jian-Chao],
An In-Vehicle Smartphone RTK/DR Positioning Method Combined with OSM Road Network,
RS(15), No. 2, 2023, pp. xx-yy.
DOI Link 2301
BibRef

Chen, X.Y.[Xiang-Yu], Zhang, K.[Kaisa], Chuai, G.[Gang], Gao, W.D.[Wei-Dong], Si, Z.W.[Zhi-Wei], Hou, Y.J.[Yi-Jian], Liu, X.W.[Xue-Wen],
Urban Area Characterization and Structure Analysis: A Combined Data-Driven Approach by Remote Sensing Information and Spatial-Temporal Wireless Data,
RS(15), No. 4, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Zhang, J.[Jielu], Mu, L.[Lan], Zhang, D.[Donglan], Rajbhandari-Thapa, J.[Janani], Chen, Z.[Zhuo], Pagán, J.A.[José A.], Li, Y.[Yan], Son, H.[Heejung], Liu, J.X.[Jun-Xiu],
Spatiotemporal Optimization for the Placement of Automated External Defibrillators Using Mobile Phone Data,
IJGI(12), No. 3, 2023, pp. xx-yy.
DOI Link 2303
BibRef

Li, J.Z.[Jun-Zhuo], Li, W.Y.[Wen-Yong], Lian, G.[Guan],
Urban Resident Travel Survey Method Based on Cellular Signaling Data,
IJGI(12), No. 8, 2023, pp. 304.
DOI Link 2309
BibRef

Rodrigues, C.[Cláudia], Veloso, M.[Marco], Alves, A.[Ana], Bento, C.[Carlos],
Sensing Mobility and Routine Locations through Mobile Phone and Crowdsourced Data: Analyzing Travel and Behavior during COVID-19,
IJGI(12), No. 8, 2023, pp. 308.
DOI Link 2309
BibRef

Qu, L.[Lin], Zhou, Y.[Yue], Li, J.X.[Jiang-Xin], Yu, Q.[Qiong], Jiang, X.G.[Xin-Guo],
HMM-Based Map Matching and Spatiotemporal Analysis for Matching Errors with Taxi Trajectories,
IJGI(12), No. 8, 2023, pp. 330.
DOI Link 2309
BibRef

Servizi, V.[Valentino], Persson, D.R.[Dan Roland], Pereira, F.C.[Francisco Camara], Villadsen, H.[Hannah], Bækgaard, P.[Per], Peled, I.[Inon], Nielsen, O.A.[Otto Anker],
'Is Not the Truth the Truth?': Analyzing the Impact of User Validations for Bus In/Out Detection in Smartphone-Based Surveys,
ITS(24), No. 11, November 2023, pp. 11905-11920.
IEEE DOI 2311
BibRef

Guo, Y.D.[Yu-Dong], Yang, F.[Fei], Yan, H.M.[Hao-Min], Xie, S.Y.[Si-Yuan], Liu, H.[Haode], Dai, Z.[Zhuang],
Activity-based model based on multi-day cellular data: Considering the lack of personal attributes and activity type,
IET-ITS(17), No. 12, 2023, pp. 2474-2492.
DOI Link 2312
demand forecasting, traffic, traffic and demand managing, traveller information BibRef

Chen, X.C.[Xing-Can], Zou, Y.[Yi], Li, C.L.[Cheng-Lin], Xiao, W.D.[Wen-Dong],
A Deep Learning Based Lightweight Human Activity Recognition System Using Reconstructed WiFi CSI,
HMS(54), No. 1, February 2024, pp. 68-78.
IEEE DOI 2402
Wireless fidelity, Tensors, Human activity recognition, Signal representation, Convolutional neural networks, WiFi channel state information (CSI) BibRef


Miao, Y.[Yu], Tang, X.H.[Xue-Hua], Wang, Z.Y.[Zhong-Yuan],
An Automatic Semantic Map Generation Method Using Trajectory Data,
ISPRS20(B4:63-67).
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Features for cell phone trajectory data. BibRef

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


Last update:Mar 16, 2024 at 20:36:19