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A stochastic user equilibrium path flow estimator

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References

1980The most likely trip matrix estimated from traffic counts623 cited
1984Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator500 cited
1980Some developments in equilibrium traffic assignment490 cited
1983Inferences on trip matrices from observations on link volumes: A Bayesian statistical approach376 cited
1993Dynamic Estimators of Origin-Destination Matrices Using Traffic Counts368 cited
1992Estimation of origin-destination matrices from link traffic counts on congested networks366 cited
1987A maximum likelihood model for estimating origin-destination matrices310 cited
1991The estimation of origin-destination matrices by constrained generalised least squares289 cited
1995Heuristic algorithms for the bilevel origin-destination matrix estimation problem282 cited
1995Stochastic user equilibrium assignment in networks with queues181 cited
1987Recursive estimation of origin-destination matrices from input/output counts176 cited

Cited by

2010C-logit stochastic user equilibrium model: formulations and solution algorithm154 cited
2005The optimisation of traffic count locations in road networks136 cited
2013Dynamic origin–destination demand flow estimation under congested traffic conditions

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121 cited

2017A Mixed User‐Equilibrium and System‐Optimal Traffic Flow for Connected Vehicles Stated as a Complementarity Problem104 cited

2012Examining the scaling effect and overlapping problem in logit-based stochastic user equilibrium models94 cited

2004Inferring origin–destination trip matrices with a decoupled GLS path flow estimator89 cited

2011Bayesian Demand Calibration for Dynamic Traffic Simulations85 cited

2017Efficient calibration techniques for large-scale traffic simulators73 cited

2009Agent-based traffic assignment: going from trips to behavioral travelers68 cited

2009Norm approximation method for handling traffic count inconsistencies in path flow estimator67 cited

2014A generalized sensor location model for the estimation of network origin–destination matrices61 cited

2007STRATEGIES FOR SELECTING ADDITIONAL TRAFFIC COUNTS FOR IMPROVING O-D TRIP TABLE ESTIMATION60 cited

2019Sensor location model for O/D estimation: Multi-criteria meta-heuristics approach57 cited

2003Estimation of origin–destination trip-tables based on a partial set of traffic link volumes57 cited

1999A traffic flow simulator for network reliability assessment56 cited

2013Computation and application of the paired combinatorial logit stochastic user equilibrium problem54 cited