SZodixStudyAcademic Library
ShelvesOpen access
Study · an open academic library·Metadata from OpenAlex (CC0)·Shelves·OpenAlex metadata, de-duplicated
Detecting Urban Transport Modes Using a Hybrid Knowledge Driven Framework from GPS Trajectory
16 references·7 citing·35 second hop
Detecting Urban Transport Modes Using a Hybrid Knowledge Driven Framework from GPS Trajectory (2016)Detecting Urban Transport Modes Using a H…Future Mobility Survey (2013)Future Mobility SurveyTransportation mode-based segmentation and classification of movement trajectories (2012)Transportation mode-based seg…Decentralized Spatial Computing (2012)Decentralized Spatial Computi…Transportation mode detection using mobile phones and GIS information (2011)Transportation mode detection…Smart card data use in public transit: A literature review (2011)Smart card data use in public…Understanding transportation modes based on GPS data for web applications (2010)Understanding transportation …Automating mode detection for travel behaviour analysis by using global positioning systems-enabled mobile phones and neural networks (2010)Automating mode detection for…Real-Time Transportation Mode Detection via Tracking Global Positioning System Mobile Devices (2009)Real-Time Transportation Mode…Learning transportation mode from raw gps data for geographic applications on the web (2008)Learning transportation mode …Mobility Detection Using Everyday GSM Traces (2006)Mobility Detection Using Ever…Enhanced System for Link and Mode Identification for Personal Travel Surveys Based on Global Positioning Systems (2006)Enhanced System for Link and …Handbook of Transport Geography and Spatial Systems (2004)Handbook of Transport Geograp…Eighty Weeks of Global Positioning System Traces: Approaches to Enriching Trip Information (2004)Eighty Weeks of Global Positi…Using GPS data loggers to replace travel diaries in the collection of travel data (2000)Using GPS data loggers to rep…Fuzzy sets (1996)Fuzzy setsFuzzy sets (1965)Fuzzy setsA Method of User Travel Mode Recognition Based on Convolutional Neural Network and Cell Phone Signaling Data (2023)A Method of User Travel Mode …Visualizing, clustering, and characterizing activity-trip sequences via weighted sequence alignment and functional data analysis (2021)Visualizing, clustering, and …Transportation Mode Recognition With Deep Forest Based on GPS Data (2020)Transportation Mode Recogniti…Development of an ANFIS Model for the Optimization of a Queuing System in Warehouses (2018)Development of an ANFIS Model…A fuzzy logic based transport mode detection framework in urban environment (2018)A fuzzy logic based transport…A Case Study on Spatio-Temporal Data Mining of Urban Social Management Events Based on Ontology Semantic Analysis (2018)A Case Study on Spatio-Tempor…A Novel Segment-Based Approach for Improving Classification Performance of Transport Mode Detection (2017)A Novel Segment-Based Approac…Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Tracking employment shocks using mobile phone data (2015)Perspectives of the use of smartphones in travel behaviour studies: Findings from a literature review and a pilot study (2018)Addressing the Linkages between Gender and Transport in Low- and Middle-Income Countries (2019)Inferring High-Level Behavior from Low-Level Sensors (2003)Reality mining: sensing complex social systems (2005)Understanding and capturing people’s privacy policies in a mobile social networking application (2008)Mining Individual Life Pattern Based on Location History (2009)Discovering routines from large-scale human locations using probabilistic topic models (2011)Learning and inferring transportation routines (2007)Understanding mobility based on GPS data (2008)Review of GPS Travel Survey and GPS Data-Processing Methods (2014)Applying mobile phone data to travel behaviour research: A literature review (2017)Inferring transportation modes from GPS trajectories using a convolutional neural network (2017)Using GPS to learn significant locations and predict movement across multiple users (2003)Transportation mode inference from anonymized and aggregated mobile phone call detail records (2010)What We Know and Don't Know about Online Word-of-Mouth: A Review and Synthesis of the Literature (2014)Analysis of human mobility patterns from GPS trajectories and contextual information (2015)Property, Privacy, and Personal Data (2004)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Mining smart card data for transit riders’ travel patterns (2013)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)How Good is Volunteered Geographical Information? A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)Transportation mode detection – an in-depth review of applicability and reliability (2016)Wheelmap: the wheelchair accessibility crowdsourcing platform (2017)Understanding the Impacts of Human Mobility on Accessibility Using Massive Mobile Phone Tracking Data (2018)Extensions of the TOPSIS for group decision-making under fuzzy environment (2000)An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field (2010)Science mapping software tools: Review, analysis, and cooperative study among tools (2011)Travel-to-school mode choice modelling and patterns of school choice in urban areas (2008)A GIS-based time-geographic approach of studying individual activities and interactions in a hybrid physical–virtual space (2009)Accessibility of cities in the digital economy (2012)Family resemblances: Studies in the internal structure of categories (1975)Basic objects in natural categories (1976)Soft set theory—First results (1999)
this work references cited by second hop

References

  • 1965Fuzzy sets67,827 cited
  • 1996Fuzzy sets46,880 cited
  • 2011Smart card data use in public transit: A literature review930 cited
  • 2008Learning transportation mode from raw gps data for geographic applications on the web616 cited
  • 2010Understanding transportation modes based on GPS data for web applications485 cited
  • 2011Transportation mode detection using mobile phones and GIS information451 cited
  • 2006Mobility Detection Using Everyday GSM Traces277 cited
  • 2004Handbook of Transport Geography and Spatial Systems231 cited
  • 2013Future Mobility Survey227 cited
  • 2012Transportation mode-based segmentation and classification of movement trajectories165 cited
  • 2006Enhanced System for Link and Mode Identification for Personal Travel Surveys Based on Global Positioning Systems165 cited
  • 2004Eighty Weeks of Global Positioning System Traces: Approaches to Enriching Trip Information141 cited
  • 2010Automating mode detection for travel behaviour analysis by using global positioning systems-enabled mobile phones and neural networks136 cited
  • 2000Using GPS data loggers to replace travel diaries in the collection of travel data131 cited
  • 2009Real-Time Transportation Mode Detection via Tracking Global Positioning System Mobile Devices

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

70 cited
  • 2012Decentralized Spatial Computing40 cited
  • Cited by

    • 2017A Novel Segment-Based Approach for Improving Classification Performance of Transport Mode Detection38 cited
    • 2020Transportation Mode Recognition With Deep Forest Based on GPS Data29 cited
    • 2018Development of an ANFIS Model for the Optimization of a Queuing System in Warehouses28 cited
    • 2021Visualizing, clustering, and characterizing activity-trip sequences via weighted sequence alignment and functional data analysis21 cited
    • 2018A fuzzy logic based transport mode detection framework in urban environment19 cited
    • 2018A Case Study on Spatio-Temporal Data Mining of Urban Social Management Events Based on Ontology Semantic Analysis9 cited
    • 2023A Method of User Travel Mode Recognition Based on Convolutional Neural Network and Cell Phone Signaling Data8 cited