An Empirical Study of Travel Behavior Using Private Car Trajectory Data

[1]  Gang Wang,et al.  Inferring Venue Visits from GPS Trajectories , 2017, SIGSPATIAL/GIS.

[2]  Emilio Frazzoli,et al.  A review of urban computing for mobile phone traces: current methods, challenges and opportunities , 2013, UrbComp '13.

[3]  Keqin Li,et al.  GOI: A Novel Design for Vehicle Positioning and Trajectory Prediction Under Urban Environments , 2018, IEEE Sensors Journal.

[4]  Feng Xia,et al.  Mobility Dataset Generation for Vehicular Social Networks Based on Floating Car Data , 2018, IEEE Transactions on Vehicular Technology.

[5]  Haris N. Koutsopoulos,et al.  Measuring Regularity of Individual Travel Patterns , 2018, IEEE Transactions on Intelligent Transportation Systems.

[6]  Dino Pedreschi,et al.  Returners and explorers dichotomy in human mobility , 2015, Nature Communications.

[7]  Ka Kee Alfred Chu,et al.  Augmenting Transit Trip Characterization and Travel Behavior Comprehension , 2010 .

[8]  Zhu Xiao,et al.  Driving Big Data: A First Look at Driving Behavior via a Large-Scale Private Car Dataset , 2019, 2019 IEEE 35th International Conference on Data Engineering Workshops (ICDEW).

[9]  Paolo Santi,et al.  Estimating Savings in Parking Demand Using Shared Vehicles for Home–Work Commuting , 2017, IEEE Transactions on Intelligent Transportation Systems.

[10]  Jane Yung-jen Hsu,et al.  Context-aware taxi demand hotspots prediction , 2010, Int. J. Bus. Intell. Data Min..

[11]  Yazhe Wang,et al.  TripDecoder: Inferring Routes of Passengers of Mass Rapid Transit Systems by Smart Card Transaction Data , 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

[12]  Sang Gu Lee,et al.  Travel Pattern Analysis Using Smart Card Data of Regular Users , 2011 .

[13]  Feng Xia,et al.  Exploring Human Mobility Patterns in Urban Scenarios: A Trajectory Data Perspective , 2018, IEEE Communications Magazine.

[14]  中華人民共和国国家統計局.  China statistical yearbook , 1988 .

[15]  Hui Xiong,et al.  Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective , 2016, KDD.

[16]  Marimuthu Palaniswami,et al.  Fast and Scalable Big Data Trajectory Clustering for Understanding Urban Mobility , 2018, IEEE Transactions on Intelligent Transportation Systems.

[17]  Dino Pedreschi,et al.  Understanding the patterns of car travel , 2013 .

[18]  Desheng Zhang,et al.  CellTrans: Private Car or Public Transportation? Infer Users' Main Transportation Modes at Urban Scale with Cellular Data , 2019, Proc. ACM Interact. Mob. Wearable Ubiquitous Technol..

[19]  Jinhua Zhao,et al.  Individual mobility prediction using transit smart card data , 2018 .

[20]  Weimin Zheng,et al.  StepDeep: A Novel Spatial-temporal Mobility Event Prediction Framework based on Deep Neural Network , 2018, KDD.

[21]  Li Chen,et al.  Understanding Citywide Resident Mobility Using Big Data of Electronic Registration Identification of Vehicles , 2020, IEEE Transactions on Intelligent Transportation Systems.

[22]  Hai Liu,et al.  On Geocasting over Urban Bus-Based Networks by Mining Trajectories , 2016, IEEE Transactions on Intelligent Transportation Systems.

[23]  Tao Tang,et al.  Big Data Analytics in Intelligent Transportation Systems: A Survey , 2019, IEEE Transactions on Intelligent Transportation Systems.

[24]  Zbigniew Smoreda,et al.  Unravelling daily human mobility motifs , 2013, Journal of The Royal Society Interface.

[25]  O. Järv,et al.  Understanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records , 2014 .

[26]  Marcela Munizaga,et al.  Estimation of a disaggregate multimodal public transport Origin-Destination matrix from passive smartcard data from Santiago, Chile , 2012 .

[27]  Dong Wang,et al.  Understanding Travel Behavior of Private Cars via Trajectory Big Data Analysis in Urban Environments , 2017, 2017 IEEE 15th Intl Conf on Dependable, Autonomic and Secure Computing, 15th Intl Conf on Pervasive Intelligence and Computing, 3rd Intl Conf on Big Data Intelligence and Computing and Cyber Science and Technology Congress(DASC/PiCom/DataCom/CyberSciTech).

[28]  Daqing Zhang,et al.  Measuring social functions of city regions from large-scale taxi behaviors , 2011, 2011 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops).

[29]  Xing Xie,et al.  Destination prediction by sub-trajectory synthesis and privacy protection against such prediction , 2013, 2013 IEEE 29th International Conference on Data Engineering (ICDE).

[30]  Zhu Xiao,et al.  Exploring Individual Travel Patterns Across Private Car Trajectory Data , 2020, IEEE Transactions on Intelligent Transportation Systems.

[31]  O. Järv,et al.  Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones , 2010 .

[32]  Carlo Ratti,et al.  The Geography of Taste: Analyzing Cell-Phone Mobility and Social Events , 2010, Pervasive.

[33]  Seah Hock Soon,et al.  Points of interest recommendation from GPS trajectories , 2015, Int. J. Geogr. Inf. Sci..

[34]  Athanasios V. Vasilakos,et al.  Exploring Data Validity in Transportation Systems for Smart Cities , 2017, IEEE Communications Magazine.

[35]  Michael Sivak.  HAS MOTORIZATION IN THE U.S. PEAKED , 2013 .

[36]  Fan Zhang,et al.  Spatio-Temporal Analysis of Passenger Travel Patterns in Massive Smart Card Data , 2017, IEEE Transactions on Intelligent Transportation Systems.

[37]  Huanyang Zheng,et al.  Placement Optimization for Advertisement Dissemination in Smart City , 2020, IEEE Transactions on Network Science and Engineering.

[38]  Zhi-Li Zhang,et al.  Modeling urban trip demands in cloud-commuting system: A holistic approach , 2017, 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[39]  Le Minh Kieu,et al.  Passenger Segmentation Using Smart Card Data , 2015, IEEE Transactions on Intelligent Transportation Systems.

[40]  Zhu Xiao,et al.  Vehicular Task Offloading via Heat-Aware MEC Cooperation Using Game-Theoretic Method , 2020, IEEE Internet of Things Journal.

[41]  Alex X. Liu,et al.  Optimizing Taxi Driver Profit Efficiency: A Spatial Network-Based Markov Decision Process Approach , 2020, IEEE Transactions on Big Data.

[42]  Carlo Ratti,et al.  Exploring Universal Patterns in Human Home-Work Commuting from Mobile Phone Data , 2013, PloS one.

[43]  Xiaolei Ma,et al.  Development of a Data-Driven Platform for Transit Performance Measures Using Smart Card and GPS Data , 2014 .

[44]  Keqin Li,et al.  Stop-and-Wait: Discover Aggregation Effect Based on Private Car Trajectory Data , 2019, IEEE Transactions on Intelligent Transportation Systems.

[45]  Houbing Song,et al.  Rethinking Behaviors and Activities of Base Stations in Mobile Cellular Networks Based on Big Data Analysis , 2020, IEEE Transactions on Network Science and Engineering.

[46]  Keqin Li,et al.  Spectrum Resource Sharing in Heterogeneous Vehicular Networks: A Noncooperative Game-Theoretic Approach With Correlated Equilibrium , 2018, IEEE Transactions on Vehicular Technology.

[47]  Junmin Wang,et al.  Human-Centered Trajectory Tracking Control for Autonomous Vehicles With Driver Cut-In Behavior Prediction , 2019, IEEE Transactions on Vehicular Technology.

[48]  O. Järv,et al.  Mobile Phones in a Traffic Flow: A Geographical Perspective to Evening Rush Hour Traffic Analysis Using Call Detail Records , 2012, PloS one.

[49]  Wonjae Jang,et al.  Travel Time and Transfer Analysis Using Transit Smart Card Data , 2010 .