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Real-Time Transportation Mode Identification Using Artificial Neural Networks Enhanced with Mode Availability Layers: A Case Study in Dubai
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Real-Time Transportation Mode Identification Using Artificial Neural Networks Enhanced with Mode Availability Layers: A Case Study in Dubai (2017)Real-Time Transportation Mode Identificat…Probabilistic Multimodal Map Matching With Rich Smartphone Data (2013)Probabilistic Multimodal Map …Automating mode detection for travel behaviour analysis by using global positioning systems-enabled mobile phones and neural networks (2010)Automating mode detection for…Using Bus Probe Data for Analysis of Travel Time Variability (2009)Using Bus Probe Data for Anal…Real-Time Transportation Mode Detection via Tracking Global Positioning System Mobile Devices (2009)Real-Time Transportation Mode…Enhanced System for Link and Mode Identification for Personal Travel Surveys Based on Global Positioning Systems (2006)Enhanced System for Link and …The Smartphone-Based Person Travel Survey System: Data Collection, Trip Extraction, and Travel Mode Detection (2022)The Smartphone-Based Person T…An Ensemble of ConvTransformer Networks for the Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenge (2021)An Ensemble of ConvTransforme…Learning and inferring transportation routines (2007)Understanding individual human mobility patterns (2008)Understanding mobility based on GPS data (2008)Real-Time Transportation Mode Detection Using Smartphones and Artificial Neural Networks: Performance Comparisons Between Smartphones and Conventional Global Positioning System Sensors (2013)A similarity-based neuro-fuzzy modeling for driving behavior recognition applying fusion of smartphone sensors (2019)Estimating MFDs, trip lengths and path flow distributions in a multi-region setting using mobile phone data (2020)Transportation research (1975)Can using global positioning system (GPS) improve trip reporting? (1999)Tracking survey for individual travel behaviour using mobile communication instruments (2004)Travel through time: the story of research on travel time reliability (2013)A copula-based approach for estimating the travel time reliability of urban arterial (2017)Analysis of bus travel time distributions for varying horizons and real-time applications (2017)Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)An automated GPS-based prompted recall survey with learning algorithms (2009)Deriving Personal Trip Data from GPS Data: A Literature Review on the Existing Methodologies (2014)Travel mode detection based on GPS track data and Bayesian networks (2015)Incorporating the influence of latent modal preferences on travel mode choice behavior (2013)Improved methods to deduct trip legs and mode from travel surveys using wearable GPS devices: A case study from the Greater Copenhagen area (2015)Deriving and validating trip purposes and travel modes for multi-day GPS-based travel surveys: A large-scale application in the Netherlands (2009)Understanding transportation modes based on GPS data for web applications (2010)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Evaluating Bicycle Path Roughness: A Comparative Study Using Smartphone and Smart Bicycle Light Sensors (2024)Utilising Location Based Social Media in Travel Survey Methods (2015)Smartphones as an integrated platform for monitoring driver behaviour: The role of sensor fusion and connectivity (2018)Travel Mode Detection Based on GPS Raw Data Collected by Smartphones: A Systematic Review of the Existing Methodologies (2016)Travel Mode Detection Using GPS Data and Socioeconomic Attributes Based on a Random Forest Classifier (2017)Inferring fine-grained transport modes from mobile phone cellular signaling data (2019)
this work references cited by second hop

References

  • 2006Enhanced System for Link and Mode Identification for Personal Travel Surveys Based on Global Positioning Systems165 cited
  • 2010Automating mode detection for travel behaviour analysis by using global positioning systems-enabled mobile phones and neural networks136 cited
  • 2009Using Bus Probe Data for Analysis of Travel Time Variability131 cited
  • 2013Probabilistic Multimodal Map Matching With Rich Smartphone Data71 cited
  • 2009Real-Time Transportation Mode Detection via Tracking Global Positioning System Mobile Devices70 cited

Cited by

  • 2022The Smartphone-Based Person Travel Survey System: Data Collection, Trip Extraction, and Travel Mode Detection17 cited
  • 2021An Ensemble of ConvTransformer Networks for the Sussex-Huawei Locomotion-Transportation (SHL) Recognition Challenge5 cited

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