On the use of Lagrangian observations from public transport and probe vehicles to estimate car space-mean speeds in bi-modal urban networks

Author:

Dakic IgorORCID,Menendez MonicaORCID

Funder

Swiss National Science Foundation

Publisher

Elsevier BV

Subject

Computer Science Applications,Transportation,Automotive Engineering,Civil and Structural Engineering

Reference68 articles.

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2. Ambühl, L., Bliemer, M.C.J., Menendez, M., Axhausen, K.W., Ambühl, L., Loder, A., Bliemer, M.C.J., Menendez, M., Axhausen, K.W., 2018. Introducing a re-sampling methodology for the estimation of empirical macroscopic fundamental diagrams. Transp. Res. Rec.: J. Transp. Res. Board, in press.

3. Ambühl, L., Loder, A., Menendez, M., Axhausen, K.W., 2017. Empirical macroscopic fundamental diagrams: new insights from loop detector and floating car data. In: Presented at 96th Annual Meeting of the Transportation Research Board.

4. Data fusion algorithm for macroscopic fundamental diagram estimation;Ambühl;Transp. Res. Part C: Emerg. Technol.,2016

5. Macroscopic modelling and robust control of bi-modal multi-region urban road networks;Ampountolas;Transp. Res. Part B: Methodol.,2017

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