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Soft system modeling in transportation planning: Modeling trip flows based on the fuzzy inference system approach
8 references·0 citing·40 second hop
Soft system modeling in transportation planning: Modeling trip flows based on the fuzzy inference system approach (2011)Soft system modeling in transportation pl…Sample size needed for calibrating trip distribution and behavior of the gravity model (2009)Sample size needed for calibr…Trip generation model based on destination attractiveness (2008)Trip generation model based o…Structural changes in commuters’ daily travel: The case of auto and transit commuters in the Osaka metropolitan area of Japan, 1980–2000 (2007)Structural changes in commute…A simultaneous model of household activity participation and trip chain generation (2000)A simultaneous model of house…The Traffic Assignment Problem: Models and Methods (1994)The Traffic Assignment Proble…Route choice in the presence of information using concepts from fuzzy control and approximate reasoning (1993)Route choice in the presence …Estimating an origin‐destination matrix with fuzzy weights (1993)Estimating an origin‐destinat…DISAGGREGATE TRAVEL DEMAND MODELS FOR THE SAN FRANCISCO BAY AREA. SYSTEM STRUCTURE, COMPONENT MODELS, AND APPLICATION PROCEDURES (1978)DISAGGREGATE TRAVEL DEMAND MO…Transportation demand analysis (1983)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)Reform Beijing to a public transit oriented city – from the view of transportation equity (2010)Transportation Costs and Subsidy Distribution Model for Urban and Suburban Public Passenger Transport (2015)Extended Four-Step Travel Demand Forecasting Model for Urban Planning (2017)Judgement and Choice: The Psychology of Decision. (1983)Route Choice: Wayfinding in Transport Networks (1990)USING AN INTERACTIVE ROUTE-CHOICE SIMULATOR TO INVESTIGATE DRIVERS' COMPLIANCE WITH ROUTE GUIDANCE ADVICE (1991)A model for assessing the effects of dynamic travel time information via variable message signs (2001)A real-time road pricing system: The case of a two-link parallel network (2005)Modeling the dynamic effect of information on drivers’ choice behavior in the context of an Advanced Traveler Information System (2017)The Calibration of Trip Distribution Models (1969)The calibration of trip distribution models with exponential or similar cost functions (1971)Ranking the City: The Role of Location-Based Social Media Check-Ins in Collective Human Mobility Prediction (2017)Development of destination choice model with pairwise district-level constants using taxi GPS data (2018)Metropolitan Transportation Planning (2018)Levels and Characteristics of Utilitarian Walking in the Central Areas of the Cities of Bologna and Porto (2021)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Limited-dependent and qualitative variables in econometrics (1983)Limited-Dependent and Qualitative Variables in Econometrics. (1984)How Far is Too Far? (2009)Multiple purposes at single destination: A key to a better understanding of the relationship between tour complexity and mode choice (2013)Day-to-day variability in travellers’ activity-travel patterns in the Jakarta metropolitan area (2015)Fuzzy sets (1965)Estimating the O-D matrix from observed link volumes (1975)The most likely trip matrix estimated from traffic counts (1980)A new fuzzy approach to estimate the O–D matrix from link volumes (2009)Distributed Approach for Estimation of Dynamic Origin–Destination Demand (2009)Design of real-time fuzzy bus holding system for the mass rapid transit transfer system (2011)An evaluation of activity-based travel analysis (1988)Impact of telecommuting on spatial and temporal patterns of household travel (1991)Structural Equations with Latent Variables. (1991)Travel Mode Choice of the Elderly: Effects of Personal, Household, Neighborhood, and Trip Characteristics (2004)Machine Learning Travel Mode Choices: Comparing the Performance of an Extreme Gradient Boosting Model with a Multinomial Logit Model (2018)Measuring the accessibility and spatial equity of urban services under competition using the cumulative opportunities measure (2020)Foundations of Dynamic Traffic Assignment: The Past, the Present and the Future (2001)The multi-class, multi-criteria traffic network equilibrium and systems optimum problem (2003)A survey on networking games in telecommunications (2004)Behavioral Realism in Urban Transportation Planning Models (1998)Development of people mass movement simulation framework based on reinforcement learning (2020)
this work references cited by second hop

References

  • 1994The Traffic Assignment Problem: Models and Methods1,043 cited
  • 2000A simultaneous model of household activity participation and trip chain generation236 cited
  • 2007Structural changes in commuters’ daily travel: The case of auto and transit commuters in the Osaka metropolitan area of Japan, 1980–200065 cited
  • 1978DISAGGREGATE TRAVEL DEMAND MODELS FOR THE SAN FRANCISCO BAY AREA. SYSTEM STRUCTURE, COMPONENT MODELS, AND APPLICATION PROCEDURES44 cited
  • 2009Sample size needed for calibrating trip distribution and behavior of the gravity model38 cited
  • 1993Route choice in the presence of information using concepts from fuzzy control and approximate reasoning35 cited
  • 1993Estimating an origin‐destination matrix with fuzzy weights28 cited
  • 2008Trip generation model based on destination attractiveness19 cited

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