Single-level approach to estimate origin-destination matrix: exploiting turning proportions and partial OD flows

[1]  E. Chung,et al.  A novel approach for the structural comparison of origin-destination matrices: Levenshtein distance , 2020 .

[2]  Laura Wynter,et al.  A New One-Level Convex Optimization Approach For Estimating Origin-Destination Demand , 2012 .

[3]  Tomer Toledo,et al.  Estimation of Dynamic Origin–Destination Matrices Using Linear Assignment Matrix Approximations , 2013, IEEE Transactions on Intelligent Transportation Systems.

[4]  Ashish Bhaskar,et al.  A novel methodology to assimilate sub-path flows in bi-level OD matrix estimation process , 2020 .

[5]  Ravi Seshadri,et al.  Robust traffic assignment model: Formulation, solution algorithms and empirical application , 2017, J. Intell. Transp. Syst..

[6]  Yarah Basyoni,et al.  A Bilevel Traffic Data Extraction Procedure via Cellular Phone Network for Intercity Travel , 2015, J. Intell. Transp. Syst..

[7]  Hillel Bar-Gera,et al.  Evaluating the assumption of independent turning probabilities , 2006 .

[8]  Guangqing Chi,et al.  Error Measures for Trajectory Estimations With Geo-Tagged Mobility Sample Data , 2019, IEEE Transactions on Intelligent Transportation Systems.

[9]  E. Chung,et al.  Geographical window based structural similarity index for origin-destination matrices comparison , 2020, J. Intell. Transp. Syst..

[10]  M. Maher.  INFERENCES ON TRIP MATRICES FROM OBSERVATIONS ON LINK VOLUMES: A BAYESIAN STATISTICAL APPROACH , 1983 .

[11]  Livia Mannini,et al.  Dynamic demand estimation and prediction for traffic urban networks adopting new data sources , 2017 .

[12]  Mohsen Nazemi,et al.  Estimating time-dependent origin–destination demand from traffic counts: extended gradient method , 2015 .

[13]  Hyunmyung Kim,et al.  Origin-Destination Matrices Estimated with a Genetic Algorithm from Link Traffic Counts , 2001 .

[14]  Jaume Barceló,et al.  A Kalman Filter Approach for Exploiting Bluetooth Traffic Data When Estimating Time-Dependent OD Matrices , 2013, J. Intell. Transp. Syst..

[15]  Hai Yang,et al.  Estimation of origin-destination matrices from link traffic counts on congested networks , 1992 .

[16]  Yousef Shafahi,et al.  Expert Knowledge-Guided Travel Demand Estimation: Neuro-Fuzzy Approach , 2011, J. Intell. Transp. Syst..

[17]  Anders Peterson,et al.  A heuristic for the bilevel origin-destination-matrix estimation problem , 2008 .

[18]  Enrique F. Castillo,et al.  Link Flow Estimation in Traffic Networks on the Basis of Link Flow Observations , 2011, J. Intell. Transp. Syst..

[19]  Ashish Bhaskar,et al.  Fundamental understanding on the use of Bluetooth scanner as a complementary transport data , 2013 .

[20]  C. S. Fisk,et al.  Trip matrix estimation from link traffic counts: The congested network case , 1989 .

[21]  Oded Cats,et al.  A data driven method for OD matrix estimation , 2020, Transportation Research Part C: Emerging Technologies.

[22]  Zhen Qian,et al.  A Generalized Single-Level Formulation for Origin–Destination Estimation under Stochastic User Equilibrium , 2018 .

[23]  E. Cascetta.  Estimation of trip matrices from traffic counts and survey data: A generalized least squares estimator , 1984 .

[24]  Zhenbo Lu,et al.  Learn, Assign, and Search: Real-Time Estimation of Dynamic Origin-Destination Flows Using Machine Learning Algorithms , 2019, IEEE Access.

[25]  Ronghui Liu,et al.  Disaggregate Path Flow Estimation in an Iterated Dynamic Traffic Assignment Microsimulation , 2014, J. Intell. Transp. Syst..

[26]  Byungkyu Park,et al.  Time-dependent origin-destination estimation: Genetic algorithm-based optimization with updated assignment matrix , 2007 .

[27]  Zhenbo Lu,et al.  A Kalman filter approach to dynamic OD flow estimation for urban road networks using multi‐sensor data , 2015 .

[28]  Ashish Bhaskar,et al.  A Framework for the Comparative Analysis of Multi-Modal Travel Demand: Case Study on Brisbane Network , 2021 .

[29]  Ali Haghani,et al.  Application of Bluetooth Technology in Traffic Detection, Surveillance, and Traffic Management , 2013, J. Intell. Transp. Syst..

[30]  H. M. Zhang,et al.  Inferring origin–destination trip matrices with a decoupled GLS path flow estimator , 2005 .

[31]  Henk J van Zuylen,et al.  The most likely trip matrix estimated from traffic counts , 1980 .

[32]  Avinash Unnikrishnan,et al.  A genetic algorithm for bi-level linear programming dynamic network design problem , 2009 .

[33]  Fumitaka Kurauchi,et al.  Using Electronic Toll Collection Data to Understand Traffic Demand , 2014, J. Intell. Transp. Syst..

[34]  Shing Chung Josh Wong,et al.  Estimation of a time-dependent origin-destination matrix for congested highway networks , 2006 .

[35]  Ashish Bhaskar,et al.  Bluetooth Data in an Urban Context: Retrieving Vehicle Trajectories , 2017, IEEE Transactions on Intelligent Transportation Systems.

[36]  Hai Yang.  Heuristic algorithms for the bilevel origin-destination matrix estimation problem , 1995 .

[37]  Michael J. Maher,et al.  A bi-level programming approach for trip matrix estimation and traffic control problems with stochastic user equilibrium link flows , 2001 .

[38]  Ernesto Cipriani,et al.  An Adaptive Bi-Level Gradient Procedure for the Estimation of Dynamic Traffic Demand , 2014, IEEE Transactions on Intelligent Transportation Systems.

[39]  Ernesto Cipriani,et al.  Exploiting floating car data for time-dependent Origin–Destination matrices estimation , 2018, J. Intell. Transp. Syst..

[40]  Ashish Bhaskar,et al.  A Primal-Dual Algorithm for Link Dependent Origin Destination Matrix Estimation , 2016, IEEE Transactions on Signal and Information Processing over Networks.

[41]  Francesco Viti,et al.  Dynamic Origin–Destination Matrix Estimation on Large-Scale Congested Networks Using a Hierarchical Decomposition Scheme , 2014, J. Intell. Transp. Syst..

[42]  Carolina Osorio,et al.  Dynamic origin-destination matrix calibration for large-scale network simulators , 2019, Transportation Research Part C: Emerging Technologies.

[43]  H. Spiess.  A MAXIMUM LIKELIHOOD MODEL FOR ESTIMATING ORIGIN-DESTINATION MATRICES , 1987 .

[44]  Hesham Rakha,et al.  A novel approach for estimation of dynamic from static origin–destination matrices , 2019 .