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Agent-based digital traffic model generation for regions facing data scarcity using aggregated cellphone data: a case study for Brussels
16 references·1 citing·41 second hop
Agent-based digital traffic model generation for regions facing data scarcity using aggregated cellphone data: a case study for Brussels (2024)Agent-based digital traffic model generat…Using OpenStreetMap as a Data Source for Attractiveness in Travel Demand Models (2021)Using OpenStreetMap as a Data…Synthetic population and travel demand for Paris and Île-de-France based on open and publicly available data (2021)Synthetic population and trav…Synthesising digital twin travellers: Individual travel demand from aggregated mobile phone data (2021)Synthesising digital twin tra…Parking Behavior: Park ‘n’ Ride (PnR) to encourage multimodalism in Brisbane (2020)Parking Behavior: Park ‘n’ Ri…Agent-Based Models in Transport Planning: Current State, Issues, and Expectations (2020)Agent-Based Models in Transpo…Activity-based travel demand generation using Bayesian networks (2020)Activity-based travel demand …A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City (2020)A validated multi-agent simul…Transport mode detection based on mobile phone network data: A systematic review (2019)Transport mode detection base…The MATSim Open Berlin Scenario: A multimodal agent-based transport simulation scenario based on synthetic demand modeling and open data (2019)The MATSim Open Berlin Scenar…Mobile phone records to feed activity-based travel demand models: MATSim for studying a cordon toll policy in Barcelona (2019)Mobile phone records to feed …Creating an integrated agent-based travel demand model by combining mobiTopp and MATSim (2019)Creating an integrated agent-…The Multi-Agent Transport Simulation MATSim (2016)The Multi-Agent Transport Sim…Population Synthesis Using Iterative Proportional Fitting (IPF): A Review and Future Research (2016)Population Synthesis Using It…Influence of sociodemographic characteristics on human mobility (2016)Influence of sociodemographic…Verification and validation of simulation models (2010)Verification and validation o…Population synthesis for microsimulation: State of the art (2010)Population synthesis for micr…An Activity-and Agent-based Co-Simulation Framework for the Metropolitan Rotterdam The Hague Region (2025)An Activity-and Agent-based C…Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)Understanding Spatio-Temporal Characteristics of Urban Travel Demand Based on the Combination of GWR and GLM (2019)Population downscaling in multi-agent transportation simulations: A review and case study (2020)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement (2009)Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement (2009)Preferred reporting items for systematic reviews and meta-analyses: the PRISMA Statement. 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References

  • 2016The Multi-Agent Transport Simulation MATSim1,064 cited
  • 2010Verification and validation of simulation models421 cited
  • 2019Transport mode detection based on mobile phone network data: A systematic review205 cited
  • 2019The MATSim Open Berlin Scenario: A multimodal agent-based transport simulation scenario based on synthetic demand modeling and open data169 cited
  • 2021Synthetic population and travel demand for Paris and Île-de-France based on open and publicly available data168 cited
  • 2020Agent-Based Models in Transport Planning: Current State, Issues, and Expectations103 cited
  • 2016Influence of sociodemographic characteristics on human mobility97 cited
  • 2020A validated multi-agent simulation test bed to evaluate congestion pricing policies on population segments by time-of-day in New York City76 cited
  • 2019Mobile phone records to feed activity-based travel demand models: MATSim for studying a cordon toll policy in Barcelona69 cited
  • 2010Population synthesis for microsimulation: State of the art67 cited
  • 2016Population Synthesis Using Iterative Proportional Fitting (IPF): A Review and Future Research65 cited
  • 2021Synthesising digital twin travellers: Individual travel demand from aggregated mobile phone data56 cited
  • 2020Activity-based travel demand generation using Bayesian networks49 cited
  • 2021

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Using OpenStreetMap as a Data Source for Attractiveness in Travel Demand Models
48 cited
  • 2020Parking Behavior: Park ‘n’ Ride (PnR) to encourage multimodalism in Brisbane37 cited
  • 2019Creating an integrated agent-based travel demand model by combining mobiTopp and MATSim30 cited
  • Cited by

    • 2025An Activity-and Agent-based Co-Simulation Framework for the Metropolitan Rotterdam The Hague Region4 cited