1. A network sensor location problem for link flow observability and estimation. (2022). Zhang, Xuanyi ; Ma, Shoufeng ; Zhu, Ning ; Fu, Chenyi.
   In: European Journal of Operational Research.
   RePEc:eee:ejores:v:300:y:2022:i:2:p:428-448.

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2. Sensor Deployment Strategy and Traffic Demand Estimation with Multisource Data. (2021). Chu, Zhaoming ; Chen, Hui ; Sun, Chao.
   In: Sustainability.
   RePEc:gam:jsusta:v:13:y:2021:i:23:p:13057-:d:687775.

   Full description at Econpapers || Download paper

3. A utility-based dynamic demand estimation model that explicitly accounts for activity scheduling and duration. (2018). Nigro, Marialisa ; Cantelmo, Guido ; Viti, Francesco ; Cipriani, Ernesto.
   In: Transportation Research Part A: Policy and Practice.
   RePEc:eee:transa:v:114:y:2018:i:pb:p:303-320.

   Full description at Econpapers || Download paper

4. Identifying critical disruption scenarios and a global robustness index tailored to real life road networks. (2017). Dixit, Vinayak ; Bagloee, Saeed Asadi ; Sarvi, Majid ; Wolshon, Brian.
   In: Transportation Research Part E: Logistics and Transportation Review.
   RePEc:eee:transe:v:98:y:2017:i:c:p:60-81.

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5. A stochastic program approach for path reconstruction oriented sensor location model. (2017). Ma, Shoufeng ; Zhu, Ning ; Fu, Chenyi.
   In: Transportation Research Part B: Methodological.
   RePEc:eee:transb:v:102:y:2017:i:c:p:210-237.

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6. Sensor placement with time-to-detection guarantees. (2016). Jabari, Saif Eddin ; Wynter, Laura.
   In: EURO Journal on Transportation and Logistics.
   RePEc:spr:eurjtl:v:5:y:2016:i:4:d:10.1007_s13676-015-0086-4.

   Full description at Econpapers || Download paper

7. Heterogeneous sensor location model for path reconstruction. (2016). Huang, Yongxi ; Ling, Shuai ; Ma, Shoufeng ; Zhu, Ning ; Fu, Chenyi.
   In: Transportation Research Part B: Methodological.
   RePEc:eee:transb:v:91:y:2016:i:c:p:77-97.

   Full description at Econpapers || Download paper

8. Robust network sensor location for complete link flow observability under uncertaintyAuthor-Name: Xu, Xiangdong. (2016). Lo, Hong K ; Castillo, Enrique ; Chen, Anthony.
   In: Transportation Research Part B: Methodological.
   RePEc:eee:transb:v:88:y:2016:i:c:p:1-20.

   Full description at Econpapers || Download paper

9. Assessing partial observability in network sensor location problems. (2014). Tampere, Chris M. J., ; Rinaldi, Marco ; Viti, Francesco ; Corman, Francesco.
   In: Transportation Research Part B: Methodological.
   RePEc:eee:transb:v:70:y:2014:i:c:p:65-89.

   Full description at Econpapers || Download paper

10. A graphical approach to identify sensor locations for link flow inference. (2013). He, Sheng-xue.
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:51:y:2013:i:c:p:65-76.

    Full description at Econpapers || Download paper

1. Antoniou, C., Balakrishna, R., Koutsopoulos, H.N., Ben-Akiva, M., 2009. Off-line and on-line calibration of dynamic traffic assignment systems. In: Presented at the 12th IFAC Symposium on Control in Transportation Systems.
   Paper not yet in RePEc: Add citation now
   

2. Ashok, K. ; Ben-Akiva, M. Alternative approaches for real-time estimation and prediction of time-dependent origin-destination flows. 2000 Transportation Science. 34 21-36

3. Ashok, K. ; Ben-Akiva, M. Estimation and prediction of time-dependent origin-destination flows with a stochastic mapping to path flows and link flows. 2002 Transportation Science. 36 184-198

4. Ashok, K., 1996. Estimation and prediction of time-dependent origin-destination flows. PhD Thesis, Massachusetts Institute of Technology, Cambridge, MA.
   Paper not yet in RePEc: Add citation now
   
5. Ashok, K., Ben-Akiva, M., 1993. Dynamic origin-destination matrix estimation and prediction for real-time traffic management systems. In: Proceedings of the 12th ISTTT, pp. 465–484.
   Paper not yet in RePEc: Add citation now
   
6. Balakrishna, R., Koutsopoulos, H. N., Ben-Akiva, M., 2005. Calibration and validation of dynamic traffic assignment systems. In: Proceedings of 16th ISTTT, pp. 407–426.
   Paper not yet in RePEc: Add citation now
   
7. Barcelò, J., Montero, L., Marqués, L., Carmona, C., 2011. ICT based estimation of time dependent o–d matrices. In: Proceedings of the 90th TRB, Washington DC.
   Paper not yet in RePEc: Add citation now
   
8. Bell, M.G.H. The estimation of origin–destination matrix from traffic counts. 1983 Transportation Science. 17 198-217
   Paper not yet in RePEc: Add citation now
   
9. Bianco, L. ; Confessore, G. ; Reverberi, P. A network based model for traffic sensor location with implications on o–d matrix estimates. 2001 Transportation Science. 35 50-60
   Paper not yet in RePEc: Add citation now
   

10. Bierlaire, M. The Total Demand Scale: a new measure of quality for static and dynamic origin-destination trip table. 2002 Transportation Research Part B. 36 837-850

11. Bierlaire, M. ; Crittin, F. An efficient algorithm for real-time estimation and prediction of dynamic OD table. 2004 Operations Research. 52 116-127
    Paper not yet in RePEc: Add citation now
    

12. Cascetta, E. Estimation of trip matrices from traffic counts and survey data: a generalized least squares estimator. 1984 Transportation Research Part B. 18 289-299

13. Cascetta, E. Transportation Systems Analysis: Models and Application. 2009 Springer:

14. Cascetta, E. ; Inaudi, D. ; Marquis, G. Dynamic estimators of origin–destination matrices using traffic counts. 1993 Transportation Science. 27 363-373

15. Cascetta, E. ; Nguyen, S. A unified framework for estimating or updating origin/destination matrices from traffic counts. 1988 Transportation Research Part B. 22 437-455

16. Cascetta, E. ; Postorino, M.N. Fixed point models for the estimation of o–d matrices using traffic counts on congested networks. 2001 Transportation Science. 35 134-147
    Paper not yet in RePEc: Add citation now
    
17. Cascetta, E., Papola, A., Marzano, V., Simonelli, F., Vitiello, I., 2012. Quasi dynamic o–d matrix estimation: performance analysis on real data. In: Proceedings of the 91th TRB, Washington DC.
    Paper not yet in RePEc: Add citation now
    
18. Castillo, E. ; Conejo, A.J. ; Menéndez, J.M. ; Jiménez, P. The observability problem in traffic network models. 2008 Computer Aided Civil and Infrastructure Engineering. 23 208-222
    Paper not yet in RePEc: Add citation now
    
19. Castillo, E. ; Gallego, I. ; Sanchez-Cambronero, S. ; Rivas, A. Matrix tools for general observability analysis in traffic networks. 2010 IEEE Transactions on Intelligent Transportation Systems. 11 799-813
    Paper not yet in RePEc: Add citation now
    
20. Castillo, E. ; Jiménez, P. ; Menéndez, J.M. ; Conejo, A.J. The observability problem in traffic models: algebraic and topological methods. 2008 IEEE Transactions on Intelligent Transportation Systems. 9 275-287
    Paper not yet in RePEc: Add citation now
    
21. Chen, A. ; Chootinan, P. ; Recker, W. Examining the quality of synthetic o–d trip table estimated by path flow estimator. 2005 Journal of Transportation Engineering. 131 506-513
    Paper not yet in RePEc: Add citation now
    
22. Chen, A. ; Pravinvongvuth, S. ; Chootinan, P. ; Lee, M. ; Recker, W. Strategies for selecting additional traffic counts for improving o–d trip table estimation. 2007 Transportmetrica. 3 191-211
    Paper not yet in RePEc: Add citation now
    

23. Chootinan, P. ; Chen, A. Confidence interval estimation for path flow estimator. 2011 Transportation Research Part B. 45 1680-1698

24. Cipriani, E. ; Florian, M. ; Mahut, M. ; Nigro, M. A gradient approximation approach for adjusting temporal origin–destination matrices. 2011 Transportation Research Part C. 19 270-282
    Paper not yet in RePEc: Add citation now
    
25. Eaton, M.L. Multivariate Statistics: A Vector Space Approach. 1983 John Wiley and Sons:
    Paper not yet in RePEc: Add citation now
    

26. Ehlert, A. ; Bell, M.G.H. ; Grosso, S. The optimization of traffic count locations in road network. 2006 Transportation Research Part B. 40 460-479

27. Eisenman, S.M. ; Fei, X. ; Zhou, X. ; Mahmassani, H.S. Number and location of sensors for real-time network traffic estimation and prediction: a sensitivity analysis. 2006 Transportation Research Record. 1964 260-269
    Paper not yet in RePEc: Add citation now
    
28. Fei, X., Eisenman, S.M., Mahmassani, H.S., 2007. Sensor coverage and location for real-time traffic prediction in large-scale networks. In: Proceedings of the 86th Annual Meeting of the Transportation Research Board, Washington DC.
    Paper not yet in RePEc: Add citation now
    
29. Florian, M. ; Chen, Y. A coordinate descent method for the bi-level o–d matrix adjustment problem. 1995 International Transportation Operations Research. 2 165-179
    Paper not yet in RePEc: Add citation now
    
30. Gan, L. ; Yang, H. ; Wong, S.C. Traffic counting location and error bound in origin–destination matrix estimation problems. 2005 Journal of Transportation Engineering. 131 524-534
    Paper not yet in RePEc: Add citation now
    
31. Gelb, A. Applied Optimal Estimation. 1974 MIT Press: Cambridge, MA
    Paper not yet in RePEc: Add citation now
    

32. Hazelton, M. Some comments on origin–destination matrix estimation. 2003 Transportation Research Part A. 37 811-822

33. Hu, S. ; Peeta, S. ; Chu, C.H. Identification of vehicle sensor locations for link-based network traffic applications. 2009 Transportation Research Part B. 43 873-894

34. Lam, W.H.K. ; Lo, H.P. Accuracy of o–d estimates from traffic counts. 1990 Traffic Engineering and Control. 31 358-367
    Paper not yet in RePEc: Add citation now
    
35. Lay, David C. Linear Algebra and Its Applications. 2005 Addison Wesley:
    Paper not yet in RePEc: Add citation now
    
36. Li, X. ; Ouyang, L. Reliable sensor deployment for network traffic surveillance. 2012 Transportation Research Part B. 46 218-231
    Paper not yet in RePEc: Add citation now
    

37. Liu, S.S. ; Fricker, J.D. Estimation of a trip table and the theta parameter in a stochastic network. 1996 Transportation Research Part A. 30 287-305

38. Lo, H. ; Zhang, N. ; Lam, H. Estimation of an origin–destination matrix with random link choice proportions: a statistical approach. 1996 Transportation Research Part B. 30 309-324

39. Lo, H.P. ; Chan, C.P. Simultaneous estimation of an origin–destination matrix and link choice proportions using traffic counts. 2003 Transportation Research Part A. 37 771-788

40. Maher, M. Inferences on trip matrices from observations on link volumes: a Bayesian statistical approach. 1983 Transportation Research Part B. 17 435-447

41. Marzano, V. ; Papola, A. ; Simonelli, F. Limits and perspectives of effective od matrix correction using traffic counts. 2009 Transportation Research Part C. 17 120-132
    Paper not yet in RePEc: Add citation now
    

42. Minguez, R. ; Sanchez Cambronero, S. ; Castillo, E. ; Jimenez, P. Optimal traffic plate scanning location for od trip matrix and route estimation in road networks. 2010 Transportation Research Part B. 44 282-298

43. Ng, M. Synergistic sensor location for link flow inference without path enumeration: a node-based approach. 2012 Transportation Research Part B. 46 781-788

44. Okutani, I. ; Stephanedes, Y. Dynamic prediction of traffic volume through kalman filtering theory. 1984 Transportation Research Part B. 18 1-11

45. Papola, A., Marzano, V., 2006. How can we trust in the o–d matrix correction procedure using traffic counts? In: Proceedings of the 2006 ETC Conference, Strasbourg.
    Paper not yet in RePEc: Add citation now
    
46. Parry, K. ; Hazelton, M. Estimation of origin–destination matrices from link counts and sporadic routing data. 2012 Transportation Research Part B. 46 175-188
    Paper not yet in RePEc: Add citation now
    
47. Sheldon, Axler Linear Algebra Done Right. 1997 Springer:
    Paper not yet in RePEc: Add citation now
    
48. Shilov, Georgi E. Linear Algebra. 1977 Dover Publications:
    Paper not yet in RePEc: Add citation now
    
49. Vardi, Y. Network tomography: estimating source–destination traffic intensities from link data. 1996 Journal of the American Statistical Association. 91 365-377
    Paper not yet in RePEc: Add citation now
    

50. Yang, H. Heuristic algorithms for the bi-level origin–destination matrix estimation problem. 1995 Transportation Research Part B. 29 231-242

51. Yang, H. ; Iida, Y. ; Sasaki, T. An analysis of the reliability of an origin-destination trip matrix estimated from traffic counts. 1991 Transportation Research Part B. 25 351-363

52. Yang, H. ; Yang, C. ; Gan, L. Models and algorithms for the screen line based traffic counting locations problems. 2006 Computers & Operations Research. 33 836-858
    Paper not yet in RePEc: Add citation now
    

53. Yang, H. ; Zhou, J. Optimal traffic counting locations for origin–destination matrix estimation. 1998 Transportation Research Part B. 32 109-126

54. Zhang, H.M., Nie, Y., Qian, Z., 2011. Estimating time-dependent freeway origin–destination demands with different data coverage. In: Proceedings of the 90th TRB, Washington DC.
    Paper not yet in RePEc: Add citation now
    

55. Zhou, X. ; List, G.F. An information-theoretic sensor location model for traffic origin–destination demand estimation applications. 2010 Transportation Science. 44 254-273

56. Zhou, X. ; Mahmassani, H. A structural state space model for real-time traffic origin–destination demand estimation and prediction in a day-to-day learning framework. 2007 Transportation Research Part B. 41 823-840

1. Models, Algorithms and Applications of DynasTIM Real-Time Traffic Simulation System. (2023). Lin, Yong.
   In: Sustainability.
   RePEc:gam:jsusta:v:15:y:2023:i:2:p:1707-:d:1037514.

   Full description at Econpapers || Download paper

2. Simulation-based dynamic origin–destination matrix estimation on freeways: A Bayesian optimization approach. (2023). Liu, Zhiyuan ; Meng, Qiang ; Chen, Jingxu ; Huo, Jinbiao ; Wang, Jian.
   In: Transportation Research Part E: Logistics and Transportation Review.
   RePEc:eee:transe:v:173:y:2023:i:c:s1366554523000960.

   Full description at Econpapers || Download paper

3. A hybrid modelling framework for the estimation of dynamic origin–destination flows. (2023). Zheng, Zuduo ; Kumarage, Sakitha ; Yildirimoglu, Mehmet.
   In: Transportation Research Part B: Methodological.
   RePEc:eee:transb:v:176:y:2023:i:c:s0191261523001297.

   Full description at Econpapers || Download paper

4. A Methodology for Estimating Vehicle Route Choice from Sparse Flow Measurements in a Traffic Network. (2022). Kurzhanskiy, Alex A.
   In: Mathematics.
   RePEc:gam:jmathe:v:10:y:2022:i:3:p:527-:d:744274.

   Full description at Econpapers || Download paper

5. Customer Preference and Station Network in the London Bike-Share System. (2021). He, PU ; Girotra, Karan ; Zheng, Fanyin ; Belavina, Elena.
   In: Management Science.
   RePEc:inm:ormnsc:v:67:y:2021:i:3:p:1392-1412.

   Full description at Econpapers || Download paper

6. Origin-Destination Demand Reconstruction Using Observed Travel Time under Congested Network. (2020). Chang, Yulin ; Luan, Xin ; Tang, Wenyun ; Tu, Qiang ; Sun, Chao.
   In: Networks and Spatial Economics.
   RePEc:kap:netspa:v:20:y:2020:i:3:d:10.1007_s11067-020-09496-4.

   Full description at Econpapers || Download paper

7. Transportation issues in developing Chinas urban agglomerations. (2020). Huang, Hai-Jun ; Xia, Tian ; Liu, Tian-Liang ; Tian, Qiong ; Wang, Chenlan.
   In: Transport Policy.
   RePEc:eee:trapol:v:85:y:2020:i:c:p:a1-a22.

   Full description at Econpapers || Download paper

8. Incorporating trip chaining within online demand estimation. (2020). Qurashi, Moeid ; Cantelmo, Guido ; Viti, Francesco ; Antoniou, Constantinos ; Prakash, Arun A.
   In: Transportation Research Part B: Methodological.
   RePEc:eee:transb:v:132:y:2020:i:c:p:171-187.

   Full description at Econpapers || Download paper

9. Estimation of Time-Varying Passenger Demand for High Speed Rail System. (2019). Wei, Tangjian ; Xu, Guangming ; Shi, Feng.
   In: Complexity.
   RePEc:hin:complx:1568941.

   Full description at Econpapers || Download paper

10. Ridesourcing systems: A framework and review. (2019). Yang, Hai ; Wang, Hai.
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:129:y:2019:i:c:p:122-155.

    Full description at Econpapers || Download paper

11. From Physical Properties of Transportation Flows to Demand Estimation: An Optimization Approach. (2018). Yan, Julia ; Bertsimas, Dimitris.
    In: Transportation Science.
    RePEc:inm:ortrsc:v:52:y:2018:i:4:p:1002-1011.

    Full description at Econpapers || Download paper

12. Anticipatory Dynamic Traffic Sensor Location Problems with Connected Vehicle Technologies. (2018). Gao, Song ; Samuel, Siby ; Knodler, Michael A ; Park, Hyoshin ; Haghani, Ali.
    In: Service Science.
    RePEc:inm:orserv:v:52:y:2018:i:6:p:1299-1326.

    Full description at Econpapers || Download paper

13. Estimation of Pedestrian Origin-Destination Demand in Train Stations. (2017). Molyneaux, Nicholas A ; Bierlaire, Michel ; Hanseler, Flurin S.
    In: Transportation Science.
    RePEc:inm:ortrsc:v:51:y:2017:i:3:p:981-997.

    Full description at Econpapers || Download paper

14. A macroscopic loading model for time-varying pedestrian flows in public walking areas. (2014). Muhlematter, Thomas ; Bierlaire, Michel ; Hanseler, Flurin S. ; Farooq, Bilal.
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:69:y:2014:i:c:p:60-80.

    Full description at Econpapers || Download paper

15. A Bayesian method for estimating traffic flows based on plate scanning. (2013). Jimenez, Pilar ; Nogal, Maria ; Menendez, Jose ; Castillo, Enrique.
    In: Transportation.
    RePEc:kap:transp:v:40:y:2013:i:1:p:173-201.

    Full description at Econpapers || Download paper

16. Traffic state estimation and uncertainty quantification based on heterogeneous data sources: A three detector approach. (2013). Zhou, Xuesong ; Deng, Wen ; Lei, Hao.
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:57:y:2013:i:c:p:132-157.

    Full description at Econpapers || Download paper

17. Observability in traffic networks. Plate scanning added by counting information. (2012). Jimenez, Pilar ; Menendez, Jose ; Castillo, Enrique ; Rivas, Ana.
    In: Transportation.
    RePEc:kap:transp:v:39:y:2012:i:6:p:1301-1333.

    Full description at Econpapers || Download paper

18. A network sensor location procedure accounting for o–d matrix estimate variability. (2012). Marzano, Vittorio ; Vitiello, Iolanda ; Simonelli, Fulvio ; Papola, Andrea.
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:46:y:2012:i:10:p:1624-1638.

    Full description at Econpapers || Download paper

19. Bayesian Demand Calibration for Dynamic Traffic Simulations. (2011). Bierlaire, Michel ; Nagel, Kai ; Flotterod, Gunnar.
    In: Transportation Science.
    RePEc:inm:ortrsc:v:45:y:2011:i:4:p:541-561.

    Full description at Econpapers || Download paper

20. An Information-Theoretic Sensor Location Model for Traffic Origin-Destination Demand Estimation Applications. (2010). Zhou, Xuesong ; List, George F.
    In: Transportation Science.
    RePEc:inm:ortrsc:v:44:y:2010:i:2:p:254-273.

    Full description at Econpapers || Download paper

21. A variational inequality formulation for inferring dynamic origin-destination travel demands. (2008). Nie, YU ; Zhang, H. M..
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:42:y:2008:i:7-8:p:635-662.

    Full description at Econpapers || Download paper

22. Trip matrix and path flow reconstruction and estimation based on plate scanning and link observations. (2008). Jimnez, Pilar ; Menndez, Jos Mara ; Castillo, Enrique.
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:42:y:2008:i:5:p:455-481.

    Full description at Econpapers || Download paper

23. A heuristic for the bilevel origin-destination-matrix estimation problem. (2008). Lundgren, Jan T. ; Peterson, Anders.
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:42:y:2008:i:4:p:339-354.

    Full description at Econpapers || Download paper

24. Development of A Path Flow Estimator for Inferring Steady-State and Time-Dependent Origin-Destination Trip Matrices. (2008). Pravinvongvuth, Surachet ; Jansuwan, Sarawut ; Chootinan, Piya ; Lee, Ming S ; Zhang, Michael ; Chen, Anthony ; Nie, YU ; Recker, Will W ; Shen, Wei.
    In: Institute of Transportation Studies, Research Reports, Working Papers, Proceedings.
    RePEc:cdl:itsrrp:qt3nr033sc.

    Full description at Econpapers || Download paper

25. A structural state space model for real-time traffic origin-destination demand estimation and prediction in a day-to-day learning framework. (2007). Zhou, Xuesong ; Mahmassani, Hani S..
    In: Transportation Research Part B: Methodological.
    RePEc:eee:transb:v:41:y:2007:i:8:p:823-840.

    Full description at Econpapers || Download paper

26. An Efficient Algorithm for Real-Time Estimation and Prediction of Dynamic OD Tables. (2004). Bierlaire, M ; Crittin, F.
    In: Operations Research.
    RePEc:inm:oropre:v:52:y:2004:i:1:p:116-127.

    Full description at Econpapers || Download paper

27. Framework for analysing reliability and information degradation of demand matrices in extended transport networks. (2003). Tsekeris, Theodore ; Stathopoulos, A..
    In: Transport Reviews.
    RePEc:taf:transr:v:23:y:2003:i:1:p:89-103.

    Full description at Econpapers || Download paper

28. Estimation and Prediction of Time-Dependent Origin-Destination Flows with a Stochastic Mapping to Path Flows and Link Flows. (2002). Ben-Akiva, M E ; Ashok, K.
    In: Transportation Science.
    RePEc:inm:ortrsc:v:36:y:2002:i:2:p:184-198.

    Full description at Econpapers || Download paper

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