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Primary Article

Bayesian Inference for Origin-Destination Matrices of Transport Networks Using the EM Algorithm

Pages 399-408 | Published online: 01 Jan 2012

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Xiaochen Xian, Honghan Ye, Xin Wang & Kaibo Liu. (2021) Spatiotemporal Modeling and Real-Time Prediction of Origin-Destination Traffic Demand. Technometrics 63:1, pages 77-89.
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Jinlong E, Mo Li & Jianqiang Huang. (2023) CrowdAtlas: Estimating Crowd Distribution within the Urban Rail Transit System. ACM Transactions on Knowledge Discovery from Data 17:4, pages 1-24.
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Chunyan Shuai, Jun Shan, Jincheng Bai, Jaeyoung Lee, Min He & Xin Ouyang. (2022) Relationship analysis of short-term origin–destination prediction performance and spatiotemporal characteristics in urban rail transit. Transportation Research Part A: Policy and Practice 164, pages 206-223.
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Fang Yang, Chunyan Shuai, Qian Qian, Wencong Wang, Mingwei He, Min He & Jaeyoung Lee. (2022) Predictability of short-term passengers’ origin and destination demands in urban rail transit. Transportation.
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Steffen O.P. Blume, Francesco Corman & Giovanni Sansavini. (2022) Bayesian origin-destination estimation in networked transit systems using nodal in- and outflow counts. Transportation Research Part B: Methodological 161, pages 60-94.
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Valery I. Khabarov & Olga G Khabarova. (2022) Efficiency of Labor Resources use and Issues of Transport Supply and Demand Development in Large Cities and Agglomerations. Transportation Research Procedia 61, pages 308-313.
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Lina Patricia Zapata, Victor Manuel Larios, Francisco Castro Carrasco & José Luis Aguayo. 2022. Communication, Smart Technologies and Innovation for Society. Communication, Smart Technologies and Innovation for Society 117 128 .
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Xin Yao, Yong Gao, Di Zhu, Ed Manley, Jiaoe Wang & Yu Liu. (2021) Spatial Origin-Destination Flow Imputation Using Graph Convolutional Networks. IEEE Transactions on Intelligent Transportation Systems 22:12, pages 7474-7484.
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Mahmoud Owais & Ahmed E. Matouk. (2021) A factorization scheme for observability analysis in transportation networks. Expert Systems with Applications 174, pages 114727.
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In-Jae Jeong & Dongjoo Park. (2021) Stochastic programming approach for static origin–destination matrix reconstruction problem. Computers & Industrial Engineering 157, pages 107373.
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Guanjie Zheng, Chang Liu, Hua Wei, Chacha Chen & Zhenhui Li. (2021) Rebuilding City-Wide Traffic Origin Destination from Road Speed Data. Rebuilding City-Wide Traffic Origin Destination from Road Speed Data.
Galina Timofeeva & Olga Ie. Evaluation of origin-destination matrices based on analysis of data on transport passenger flows. Evaluation of origin-destination matrices based on analysis of data on transport passenger flows.
Anna Mitra, Alessandro Attanasi, Lorenzo Meschini & Guido Gentile. (2020) Methodology for O‐D matrix estimation using the revealed paths of floating car data on large‐scale networks. IET Intelligent Transport Systems 14:12, pages 1704-1711.
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Anselmo Ramalho Pitombeira-Neto, Carlos Felipe Grangeiro Loureiro & Luis Eduardo Carvalho. (2020) A Dynamic Hierarchical Bayesian Model for the Estimation of day-to-day Origin-destination Flows in Transportation Networks. Networks and Spatial Economics 20:2, pages 499-527.
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Kazuki Ishikawa & Daichi Nakayama. (2019) Estimation of Origin-Destination Flows of Passenger Cars in 1925 in Old Tokyo City, Japan. ISPRS International Journal of Geo-Information 8:11, pages 472.
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Michael Cik & Martin Fellendorf. (2019) Cell Phone based Origin-Destination Matrices for Transport Modelling. Transportation Research Procedia 41, pages 551-553.
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Mohadeseh Rahbar, Mark Hickman, Mahmoud Mesbah & Ahmad Tavassoli. (2018) Determining Effective Sample Size to Calibrate a Transit Assignment Model: A Bayesian Perspective. Transportation Research Record: Journal of the Transportation Research Board 2672:8, pages 849-858.
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Tao Wen, Chen Cai, Lauren Gardner, Steven Travis Waller, Vinayak Dixit & Fang Chen. (2018) Estimation of sparse O–D matrix accounting for demand volatility. IET Intelligent Transport Systems 12:9, pages 1020-1026.
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Daniel H. Stolfi & Enrique Alba. (2018) Generating realistic urban traffic flows with evolutionary techniques. Engineering Applications of Artificial Intelligence 75, pages 36-47.
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Wei Ma & Zhen (Sean) Qian. (2018) Statistical inference of probabilistic origin-destination demand using day-to-day traffic data. Transportation Research Part C: Emerging Technologies 88, pages 227-256.
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Yudi Yang, Yueyue Fan & Roger J.B. Wets. (2018) Stochastic travel demand estimation: Improving network identifiability using multi-day observation sets. Transportation Research Part B: Methodological 107, pages 192-211.
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Martin L. Hazelton & Timothy P. Bilton. (2017) Polytope samplers for network tomography. Australian & New Zealand Journal of Statistics 59:4, pages 495-511.
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Rui Zhu, Man Sing Wong, Éric Guilbert & Pak-Wai Chan. (2017) Understanding heat patterns produced by vehicular flows in urban areas. Scientific Reports 7:1.
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Steven H. Waldrip, Robert K. Niven, Markus Abel & Michael Schlegel. Maximum entropy analysis of transport networks. Maximum entropy analysis of transport networks.
Alexandr Tesselkin & Valeriy Khabarov. (2017) Estimation of Origin-Destination Matrices Based on Markov Chains. Procedia Engineering 178, pages 107-116.
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Asma Sbaï, Henk J. van Zuylen, Jie Li, Fangfang Zheng & Fattehallah Ghadi. 2017. Computational Science and Its Applications – ICCSA 2017. Computational Science and Its Applications – ICCSA 2017 183 198 .
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Valeriy Khabarov & Alexandr Tesselkin. (2016) Method for estimating origin-destination matrices using Markov models. Method for estimating origin-destination matrices using Markov models.
Luís Moreira-Matias, João Gama, Michel Ferreira, João Mendes-Moreira & Luis Damas. (2016) Time-evolving O-D matrix estimation using high-speed GPS data streams. Expert Systems with Applications 44, pages 275-288.
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Yuxiong Ji, Qiyuan You, Shengchuan Jiang & Hongjun Michael Zhang. (2015) Statistical inference on transit route-level origin-destination flows using automatic passenger counter data. Journal of Advanced Transportation 49:6, pages 724-737.
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Yuxiong Ji, Rabi G. Mishalani & Mark R. McCord. (2015) Transit passenger origin–destination flow estimation: Efficiently combining onboard survey and large automatic passenger count datasets. Transportation Research Part C: Emerging Technologies 58, pages 178-192.
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Martin L. Hazelton. (2015) Network tomography for integer-valued traffic. The Annals of Applied Statistics 9:1.
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Daniel H. Stolfi & Enrique Alba. 2015. Advances in Artificial Intelligence. Advances in Artificial Intelligence 332 343 .
Hu Shao, William H.K. Lam, Agachai Sumalee, Anthony Chen & Martin L. Hazelton. (2014) Estimation of mean and covariance of peak hour origin–destination demands from day-to-day traffic counts. Transportation Research Part B: Methodological 68, pages 52-75.
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Md. Shahadat Iqbal, Charisma F. Choudhury, Pu Wang & Marta C. González. (2014) Development of origin–destination matrices using mobile phone call data. Transportation Research Part C: Emerging Technologies 40, pages 63-74.
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Lin Cheng, Senlai Zhu, Zhaoming Chu & Jingxu Cheng. (2014) A Bayesian Network Model for Origin-Destination Matrices Estimation Using Prior and Some Observed Link Flows. Discrete Dynamics in Nature and Society 2014, pages 1-9.
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Baibing Li. (2013) A model of pedestrians’ intended waiting times for street crossings at signalized intersections. Transportation Research Part B: Methodological 51, pages 17-28.
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Shan HuangAdel W. SadekLiya Guo. (2013) Computational-Based Approach to Estimating Travel Demand in Large-Scale Microscopic Traffic Simulation Models. Journal of Computing in Civil Engineering 27:1, pages 78-86.
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Katharina Parry & Martin L. Hazelton. (2012) Estimation of origin–destination matrices from link counts and sporadic routing data. Transportation Research Part B: Methodological 46:1, pages 175-188.
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Baibing Li. (2012) Recursive estimation of average vehicle time headway using single inductive loop detector data. Transportation Research Part B: Methodological 46:1, pages 85-99.
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Konstantinos Perrakis, Dimitris Karlis, Mario Cools, Davy Janssens, Koen Vanhoof & Geert Wets. (2012) A Bayesian approach for modeling origin–destination matrices. Transportation Research Part A: Policy and Practice 46:1, pages 200-212.
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Martin L. Hazelton. (2010) Bayesian inference for network-based models with a linear inverse structure. Transportation Research Part B: Methodological 44:5, pages 674-685.
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Baibing Li. (2009) On the recursive estimation of vehicular speed using data from a single inductance loop detector: A Bayesian approach. Transportation Research Part B: Methodological 43:4, pages 391-402.
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Baibing Li. (2009) Markov models for Bayesian analysis about transit route origin–destination matrices. Transportation Research Part B: Methodological 43:3, pages 301-310.
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Martin L. Hazelton. (2008) Statistical inference for time varying origin–destination matrices. Transportation Research Part B: Methodological 42:6, pages 542-552.
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Enrique Castillo, José María Menéndez & Pilar Jiménez. (2008) Trip matrix and path flow reconstruction and estimation based on plate scanning and link observations. Transportation Research Part B: Methodological 42:5, pages 455-481.
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