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Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment
6 references·8 citing·47 second hop
Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment (2009)Evaluation of traffic data obtained via G…State of the Art and Practice: Cellular Probe Technology Applied in Advanced Traveler Information Systems (2007)State of the Art and Practice…Probes as Path Seekers: A New Paradigm (2006)Probes as Path Seekers: A New…Mobile Phones as Traffic Probes: Practices, Prospects and Issues (2006)Mobile Phones as Traffic Prob…The State of Cellular Probes (2003)The State of Cellular ProbesUsing Vehicles Equipped with Toll Tags as Probes for Providing Travel Times (2001)Using Vehicles Equipped with …ACCURACY OF SPEED MEASUREMENTS FROM CELLULAR PHONE VEHICLE LOCATION SYSTEMS (2001)ACCURACY OF SPEED MEASUREMENT…Big Data Analytics in Intelligent Transportation Systems: A Survey (2018)Big Data Analytics in Intelli…From Twitter to detector: Real-time traffic incident detection using social media data (2016)From Twitter to detector: Rea…Urban Computing (2014)Urban ComputingShort-term traffic forecasting: Where we are and where we’re going (2014)Short-term traffic forecastin…Development of origin–destination matrices using mobile phone call data (2014)Development of origin–destina…Understanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records (2013)Understanding monthly variabi…Understanding Road Usage Patterns in Urban Areas (2012)Understanding Road Usage Patt…Driving with knowledge from the physical world (2011)Driving with knowledge from t…The scaling laws of human travel (2006)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)A survey of results on mobile phone datasets analysis (2015)Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Human mobility: Models and applications (2018)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)What about people in Regional Science? (1970)The use of tracking technologies in tourism research: the first decade (2016)Applying mobile phone data to travel behaviour research: A literature review (2017)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)Nonresponse Rates and Nonresponse Bias in Household Surveys (2006)A universal model for mobility and migration patterns (2012)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)SURVEY METHODS FOR TRANSPORT PLANNING (1995)The effects of a mobile telephone task on driver behaviour in a car following situation (1995)Cell phone-induced failures of visual attention during simulated driving. (2003)Road Traffic Data: Collection Methods and Applications (2008)Combining forecasts: A review and annotated bibliography (1989)Combining forecasts: A review and annotated bibliography (1990)Statistical and Econometric Methods for Transportation Data Analysis (2003)Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (2015)Deep learning for short-term traffic flow prediction (2017)LSTM network: a deep learning approach for short‐term traffic forecast (2017)OpenStreetMap: User-Generated Street Maps (2008)Bikesharing in Europe, the Americas, and Asia (2010)On the social shaping dimensions of smart sustainable cities: A study in science, technology, and society (2016)A foundational framework for smart sustainable city development: Theoretical, disciplinary, and discursive dimensions and their synergies (2017)Smart sustainable cities of the future: An extensive interdisciplinary literature review (2017)Online-SVR for short-term traffic flow prediction under typical and atypical traffic conditions (2008)Estimating arterial traffic conditions using sparse probe data (2010)Uncovering cabdrivers’ behavior patterns from their digital traces (2010)Discovering regions of different functions in a city using human mobility and POIs (2012)A hybrid deep learning based traffic flow prediction method and its understanding (2018)ANALYSIS OF FREEWAY TRAFFIC TIME-SERIES DATA BY USING BOX-JENKINS TECHNIQUES (1979)Role of social media in online travel information search (2009)Emergency knowledge management and social media technologies: A case study of the 2010 Haitian earthquake (2010)A deep learning approach for detecting traffic accidents from social media data (2017)Business Intelligence and Analytics: From Big Data to Big Impact (2012)Big Data: A Survey (2014)Traffic Flow Prediction With Big Data: A Deep Learning Approach (2014)Deep Learning for Intelligent Transportation Systems: A Survey of Emerging Trends (2019)A Survey on Modern Deep Neural Network for Traffic Prediction: Trends, Methods and Challenges (2020)Applications of Artificial Intelligence and Machine learning in smart cities (2020)Deriving origin–destination data from a mobile phone network (2007)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Application of Google-based Data for Travel Time Analysis: Kaunas City Case Study (2017)
this work references cited by second hop

References

  • 2006Mobile Phones as Traffic Probes: Practices, Prospects and Issues157 cited
  • 2001ACCURACY OF SPEED MEASUREMENTS FROM CELLULAR PHONE VEHICLE LOCATION SYSTEMS37 cited
  • 2007State of the Art and Practice: Cellular Probe Technology Applied in Advanced Traveler Information Systems27 cited
  • 2001Using Vehicles Equipped with Toll Tags as Probes for Providing Travel Times18 cited
  • 2006Probes as Path Seekers: A New Paradigm17 cited
  • 2003The State of Cellular Probes10 cited

Cited by

  • 2014Urban Computing1,564 cited
  • 2014Short-term traffic forecasting: Where we are and where we’re going1,248 cited
  • 2018Big Data Analytics in Intelligent Transportation Systems: A Survey1,128 cited
  • 2011Driving with knowledge from the physical world886 cited
  • 2014Development of origin–destination matrices using mobile phone call data524 cited
  • 2012Understanding Road Usage Patterns in Urban Areas378 cited
  • 2016From Twitter to detector: Real-time traffic incident detection using social media data365 cited
  • 2013Understanding monthly variability in human activity spaces: A twelve-month study using mobile phone call detail records264 cited

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