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ARTICLES

Investigating the quality of Spiess-like and SPSA approaches for dynamic OD matrix estimation

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Pages 235-257 | Received 31 Dec 2018, Accepted 19 Dec 2019, Published online: 06 Feb 2020

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Shubham N. Patil, Krishna N.S. Behara, Abdhul Khadhir & Ashish Bhaskar. (2023) Methods to enhance the quality of bi-level origin–destination matrix adjustment process. Transportation Letters 15:2, pages 77-86.
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Héctor López-Ospina, Cristián E. Cortés, Juan Pérez, Romario Peña, Juan Carlos Figueroa-García & Jorge Urrutia-Mosquera. (2022) A maximum entropy optimization model for origin-destination trip matrix estimation with fuzzy entropic parameters. Transportmetrica A: Transport Science 18:3, pages 963-1000.
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Articles from other publishers (7)

Sakitha Kumarage, Mehmet Yildirimoglu & Zuduo Zheng. (2023) A hybrid modelling framework for the estimation of dynamic origin–destination flows. Transportation Research Part B: Methodological 176, pages 102804.
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Milad Vahidi & Yousef Shafahi. (2023) Time-dependent estimation of origin–destination matrices using partial path data and link counts. Transportation.
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Yuhao Yao, Haoran Zhang, Jinyu Chen, Wenjing Li, Ryosuke Shibasaki & Xuan Song. (2023) Mobility Tableau: Human Mobility Similarity Measurement for City Dynamics. IEEE Transactions on Intelligent Transportation Systems 24:7, pages 7108-7121.
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Lídia Montero, Javier Ortigosa, Xavier Alarcón, María Paz Linares, Marta Cuatrecasas & Jordi Cluet. (2022) Demand model estimation from smartphone data. An application to assert new urbanistic development scenarios. Transportation Research Procedia 62, pages 270-277.
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Jaume Barceló, Xavier Ros-Roca & Lidia Montero. 2022. The Evolution of Travel Time Information Systems. The Evolution of Travel Time Information Systems 201 277 .
Xavier Ros-Roca, Lídia Montero & Jaume Barceló. (2021) Exploring the Direct and Indirect Use of ICT Measurements in DODME (Dynamic OD Matrix Estimation). Applied Sciences 11:22, pages 10910.
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Huarong Zhao, Li Peng & Hongnian Yu. (2020) Data Driven Distributed Bipartite Consensus Tracking for Nonlinear Multiagent Systems via Iterative Learning Control. IEEE Access 8, pages 144718-144729.
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