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Modeling the effect of sensor failure on the location of counting sensors for origin-destination (OD) estimation

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References

1980The most likely trip matrix estimated from traffic counts623 cited
2009Transportation Systems Analysis: Models and Applications420 cited
1984URBAN TRANSPORTATION PLANNING: A DECISION-ORIENTED APPROACH417 cited
1998Optimal traffic counting locations for origin–destination matrix estimation308 cited
1991The estimation of origin-destination matrices by constrained generalised least squares289 cited
2019Inferring dynamic origin-destination flows by transport mode using mobile phone data183 cited
1991An analysis of the reliability of an origin-destination trip matrix estimated from traffic counts177 cited
1984A modified Frank-Wolfe algorithm for solving the traffic assignment problem176 cited
2001A Network Based Model for Traffic Sensor Location with Implications on O/D Matrix Estimates175 cited
2000Estimation of origin–destination matrices from link flows on uncongested networks156 cited
2001Fixed Point Approaches to the Estimation of O/D Matrices Using Traffic Counts on Congested Networks147 cited
2005The optimisation of traffic count locations in road networks136 cited
2014An enhanced SPSA algorithm for the calibration of Dynamic Traffic Assignment models135 cited
2009Optimal traffic plate scanning location for OD trip matrix and route estimation in road networks

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135 cited

2008The Observability Problem in Traffic Network Models125 cited

2010An Information-Theoretic Sensor Location Model for Traffic Origin-Destination Demand Estimation Applications116 cited

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2023Sensor location models with reliable optimal solution for the observation of origin–destination matrix and route flows7 cited
2025Multi-type traffic sensor location problem for origin–destination estimation considering spatiotemporal correlation and sensor failure3 cited
2025Privacy‐preserving awareness in sensor deployment for traffic flow surveillance3 cited