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Exploring Link Covering and Node Covering Formulations of Detection Layout Problem
12 references·6 citing·36 second hop
Exploring Link Covering and Node Covering Formulations of Detection Layout Problem (2012)Exploring Link Covering and Node Covering…Allocation of Link Flow Detectors for Origin‐Destination Matrix Estimation—A Comparative Study (2009)Allocation of Link Flow Detec…The Observability Problem in Traffic Network Models (2008)The Observability Problem in …A heuristic for the bilevel origin–destination-matrix estimation problem (2008)A heuristic for the bilevel o…Most Likely Traffic Equilibrium Route Flows Analysis and Computation (2006)Most Likely Traffic Equilibri…The optimisation of traffic count locations in road networks (2005)The optimisation of traffic c…Adjustment of O–D trip matrices from observed volumes: An algorithmic approach based on conjugate directions (2003)Adjustment of O–D trip matric…The total demand scale: a new measure of quality for static and dynamic origin–destination trip tables (2002)The total demand scale: a new…Transportation Systems Engineering: Theory and Methods (2001)Transportation Systems Engine…Network State Estimation and Prediction for Real-Time Traffic Management (2001)Network State Estimation and …A Network Based Model for Traffic Sensor Location with Implications on O/D Matrix Estimates (2001)A Network Based Model for Tra…Optimal traffic counting locations for origin–destination matrix estimation (1998)Optimal traffic counting loca…The most likely trip matrix estimated from traffic counts (1980)The most likely trip matrix e…O–D matrix estimation based on data-driven network assignment (2022)O–D matrix estimation based o…Origin-Destination Matrix Estimation Using Big Traffic Data: A Structural Perspective (2019)Origin-Destination Matrix Est…THE SENSOR LOCATION PROBLEM: METHODOLOGICAL APPROACH AND APPLICATION (2017)THE SENSOR LOCATION PROBLEM: …Integrating Optimal Heterogeneous Sensor Deployment and Operation Strategies for Dynamic Origin-Destination Demand Estimation (2017)Integrating Optimal Heterogen…A Robust Framework for the Estimation of Dynamic OD Trip Matrices for Reliable Traffic Management (2015)A Robust Framework for the Es…A DUE based bilevel optimization approach for the estimation of time sliced OD matrices (2014)A DUE based bilevel optimizat…A MODIFIED LOGIT ROUTE CHOICE MODEL OVERCOMING PATH OVERLAPPING PROBLEMS. 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References

  • 1980The most likely trip matrix estimated from traffic counts623 cited
  • 2001Transportation Systems Engineering: Theory and Methods591 cited
  • 1998Optimal traffic counting locations for origin–destination matrix estimation308 cited
  • 2001Network State Estimation and Prediction for Real-Time Traffic Management189 cited
  • 2001A Network Based Model for Traffic Sensor Location with Implications on O/D Matrix Estimates175 cited
  • 2005The optimisation of traffic count locations in road networks136 cited
  • 2008The Observability Problem in Traffic Network Models125 cited
  • 2008A heuristic for the bilevel origin–destination-matrix estimation problem110 cited
  • 2002The total demand scale: a new measure of quality for static and dynamic origin–destination trip tables99 cited
  • 2003Adjustment of O–D trip matrices from observed volumes: An algorithmic approach based on conjugate directions40 cited
  • 2009Allocation of Link Flow Detectors for Origin‐Destination Matrix Estimation—A Comparative Study38 cited
  • 2006Most Likely Traffic Equilibrium Route Flows Analysis and Computation29 cited

Cited by

  • 2022O–D matrix estimation based on data-driven network assignment19 cited
  • 2017THE SENSOR LOCATION PROBLEM: METHODOLOGICAL APPROACH AND APPLICATION

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16 cited
  • 2017Integrating Optimal Heterogeneous Sensor Deployment and Operation Strategies for Dynamic Origin-Destination Demand Estimation14 cited
  • 2015A Robust Framework for the Estimation of Dynamic OD Trip Matrices for Reliable Traffic Management11 cited
  • 2014A DUE based bilevel optimization approach for the estimation of time sliced OD matrices10 cited
  • 2019Origin-Destination Matrix Estimation Using Big Traffic Data: A Structural Perspective9 cited