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ESTIMATION OF ORIGIN‐DESTINATION MATRICES FROM LINK TRAFFIC COUNTS CONSIDERING THE INTERACTION OF THE TRAFFIC MODES
8 references·2 citing·34 second hop
ESTIMATION OF ORIGIN‐DESTINATION MATRICES FROM LINK TRAFFIC COUNTS CONSIDERING THE INTERACTION OF THE TRAFFIC MODES (1992)ESTIMATION OF ORIGIN‐DESTINATION MATRICES…Transport demand model estimation from traffic counts (1989)Transport demand model estima…Implementation and Computational Issues for Combined Models of Location, Destination, Mode, and Route Choice (1983)Implementation and Computatio…A note on trip matrix estimation from link traffic count data (1983)A note on trip matrix estimat…Selection of a trip table which reproduces observed link flows (1982)Selection of a trip table whi…A Method for Direct Estimation of Origin/Destination Trip Matrices (1981)A Method for Direct Estimatio…The most likely trip matrix estimated from traffic counts (1980)The most likely trip matrix e…ESTIMATION OF AN ORIGIN-DESTINATION TRIP TABLE BASED ON OBSERVED LINK VOLUMES AND TURNING MOVEMENTS VOLUMES 3-PROGRAM MANUAL (1980)ESTIMATION OF AN ORIGIN-DESTI…CALIBRATING TRAFFIC MODELS ON TRAFFIC CENSUS RESULTS ONLY (1976)CALIBRATING TRAFFIC MODELS ON…Some Enhancements of the Gradient Method for O-D Matrix Adjustment (2009)Some Enhancements of the Grad…Multi-Class Demand Matrix Adjustment (2007)Multi-Class Demand Matrix Adj…Flows in Transportation Networks (1972)An efficient approach to solving the road network equilibrium traffic assignment problem (1975)Derivation and analysis of some models for combining trip distribution and assignment (1976)NETWORK EQUILIBRIUM MODELS OF URBAN LOCATION AND TRAVEL CHOICES: A RETROSPECTIVE SURVEY* (1988)Internally-consistent estimation of dynamic network origin-destination flows from intelligent transportation systems data using bi-level optimization (2001)Estimating multi-year 24 / 7 origin-destination demand using high-granular multi-source traffic data (2018)Urban travel demand: A behavioral analysis (1976)On the Formation of Travel Demand Models and Economic Evaluation Measures of User Benefit (1977)Spatial interaction modelling (2003)A retrospective on Beckmann, McGuire and Winsten's Studies in the Economics of Transportation (2005)On the relationship between supply chain and transportation network equilibria: A supernetwork equivalence with computations (2005)Entropy in urban and regional modelling (2021)Estimating the O-D matrix from observed link volumes (1975)Calibrating aggregate travel demand models with traffic counts: Estimators and statistical performance (1997)Reverse assignment: calibrating link cost functions and updating demand from traffic counts and time measurements (2011)Visualizing the Relationship Between Human Mobility and Points of Interest (2017)A statistical theory of spatial distribution models (1967)Estimation of origin-destination matrices from traffic counts using multiobjective programming formulations (1989)Estimation of origin–destination trip-tables based on a partial set of traffic link volumes (2003)Nonlinear and Dynamic Programming (1966)THE DEMAND FOR ABSTRACT TRANSPORT MODES: THEORY AND MEASUREMENT† (1966)Principles of Operations Research. (1970)Estimation of Origin-Destination Matrices Using Traffic Counts (1998)PROJECTION OF SUPPLY AND USE TABLES: METHODS AND THEIR EMPIRICAL ASSESSMENT (2011)Inferences on trip matrices from observations on link volumes: A Bayesian statistical approach (1983)Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator (1984)Estimation of Transit Origin–Destination Matrices from Passenger Counts Using a Frequency-Based Approach (2003)Development of A Path Flow Estimator for Inferring Steady-State and Time-Dependent Origin-Destination Trip Matrices (2008)A fuzzy set-based approach to origin–destination matrix estimation in urban traffic networks with imprecise data (2013)O-D Demand Adjustment Problem with Congestion: Part I. Model Analysis and Optimality Conditions (1996)A philosophical context for methods to estimate origin ? destination trip matrices using link counts (2001)Dynamic identification of origin–destination matrices in the presence of incomplete observations (2002)Development of origin–destination matrices using mobile phone call data (2014)The path most traveled: Travel demand estimation using big data resources (2015)
this work references cited by second hop

References

  • 1980The most likely trip matrix estimated from traffic counts623 cited
  • 1989Transport demand model estimation from traffic counts109 cited
  • 1983Implementation and Computational Issues for Combined Models of Location, Destination, Mode, and Route Choice97 cited
  • 1983A note on trip matrix estimation from link traffic count data75 cited
  • 1982Selection of a trip table which reproduces observed link flows72 cited
  • 1981A Method for Direct Estimation of Origin/Destination Trip Matrices60 cited
  • 1976CALIBRATING TRAFFIC MODELS ON TRAFFIC CENSUS RESULTS ONLY30 cited
  • 1980ESTIMATION OF AN ORIGIN-DESTINATION TRIP TABLE BASED ON OBSERVED LINK VOLUMES AND TURNING MOVEMENTS VOLUMES 3-PROGRAM MANUAL21 cited

Cited by

  • 2009Some Enhancements of the Gradient Method for O-D Matrix Adjustment6 cited
  • 2007Multi-Class Demand Matrix Adjustment5 cited

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