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Travel Demand Estimation for a Special Event using Pervasive Data: A Case Study of G20 Summit
11 references·0 citing·42 second hop
Travel Demand Estimation for a Special Event using Pervasive Data: A Case Study of G20 Summit (2024)Travel Demand Estimation for a Special Ev…Analyzing and Modeling Network Travel Patterns During the Ukraine Invasion Using Crowd-Sourced Pervasive Traffic Data (2023)Analyzing and Modeling Networ…Single-level approach to estimate origin-destination matrix: exploiting turning proportions and partial OD flows (2021)Single-level approach to esti…Rapidex: A Novel Tool to Estimate Origin–Destination Trips Using Pervasive Traffic Data (2021)Rapidex: A Novel Tool to Esti…Planned Special Event Travel Demand Model Development (2021)Planned Special Event Travel …Origin-Destination Trip Matrix Development: Conventional Methods versus Mobile Phone Data (2017)Origin-Destination Trip Matri…Time-evolving O-D matrix estimation using high-speed GPS data streams (2015)Time-evolving O-D matrix esti…Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Origin–destination trips by p…Retrieving Dynamic Origin-Destination Matrices from Bluetooth Data (2014)Retrieving Dynamic Origin-Des…Origin-Destination Estimation for Non-Commuting Trips Using Location-Based Social Networking Data (2014)Origin-Destination Estimation…Estimating Origin-Destination Flows Using Mobile Phone Location Data (2011)Estimating Origin-Destination…Population Origin–Destination Estimation Using Automatic Vehicle Identification and Volume Data (2005)Population Origin–Destination…Urban computing with taxicabs (2011)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Development of origin–destination matrices using mobile phone call data (2014)Big Data, Predictive Analytics and Machine Learning (2018)Zooming into mobility to understand cities: A review of mobility-driven urban studies (2022)Big data and predictive analytics: A systematic review of applications (2024)A Theoretical Foundation for the Gravity Equation. (1979)Understanding individual human mobility patterns (2008)Real-Time Urban Monitoring Using Cell Phones: A Case Study in Rome (2010)Understanding individual mobility patterns from urban sensing data: A mobile phone trace example (2012)A new insight into land use classification based on aggregated mobile phone data (2014)Limits of Predictability in Human Mobility (2010)Modelling the scaling properties of human mobility (2010)Unravelling daily human mobility motifs (2013)The path most traveled: Travel demand estimation using big data resources (2015)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)A statistical theory of spatial distribution models (1967)Find me if you can (2010)You are where you tweet (2010)From cellular positioning data to trajectories: Steps towards a more accurate mobility exploration (2020)Human settlement value assessment from a place perspective: Considering human dynamics and perceptions in house price modeling (2021)An Interdisciplinary Survey on Origin-destination Flows Modeling: Theory and Techniques (2024)A probabilistic multipath traffic assignment model which obviates path enumeration (1971)The most likely trip matrix estimated from traffic counts (1980)Inferences on trip matrices from observations on link volumes: A Bayesian statistical approach (1983)Integrated Determination of Network Origin–Destination Trip Matrix and Heterogeneous Sensor Selection and Location Strategy (2015)Estimation of origin–destination matrices using link counts and partial path data (2019)Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator (1984)Methods to enhance the quality of bi-level origin–destination matrix adjustment process (2022)A flexible and scalable single-level framework for OD matrix inference using IoT data (2023)OpenStreetMap: User-Generated Street Maps (2008)The Use of Automated Planning For The Strategic Management of Transport Systems In Developing Countries (2022)Rapid Planning: Opportunities with Pervasive Data for Sustainable Mobility (2023)The Effect of Risk Perceptions on Intentions to Travel in the Aftermath of September 11, 2001 (2004)MEASURING URBAN TRAFFIC CONGESTION – A REVIEW (2012)Mediterranean journal of social sciences (2020)Rapid post-disruption assessment of capacity reduction and demand distribution for transportation network under limited information (2025)Improving A Priori Demand Estimates Transport Models using Mobile Phone Data: A Rotterdam-Region Case (2018)A data driven method for OD matrix estimation (2019)Data to the people: a review of public and proprietary data for transport models (2021)Joint Logit Model Approach to Analyze Soccer Spectators’ Arrival Time and Location Preferences for Interim Activities in Istanbul (2022)
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References

  • 2015Origin–destination trips by purpose and time of day inferred from mobile phone data637 cited
  • 2011Estimating Origin-Destination Flows Using Mobile Phone Location Data511 cited
  • 2015Time-evolving O-D matrix estimation using high-speed GPS data streams83 cited
  • 2014Origin-Destination Estimation for Non-Commuting Trips Using Location-Based Social Networking Data62 cited
  • 2017Origin-Destination Trip Matrix Development: Conventional Methods versus Mobile Phone Data49 cited
  • 2005Population Origin–Destination Estimation Using Automatic Vehicle Identification and Volume Data42 cited
  • 2021Rapidex: A Novel Tool to Estimate Origin–Destination Trips Using Pervasive Traffic Data30 cited
  • 2021Single-level approach to estimate origin-destination matrix: exploiting turning proportions and partial OD flows15 cited
  • 2023Analyzing and Modeling Network Travel Patterns During the Ukraine Invasion Using Crowd-Sourced Pervasive Traffic Data15 cited
  • 2021Planned Special Event Travel Demand Model Development9 cited
  • 2014Retrieving Dynamic Origin-Destination Matrices from Bluetooth Data8 cited

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