Uncertainty propagation from the cell transmission traffic flow model to emission predictions : a data-driven approach
Arwa S. Sayegh, Richard D. Connors, James E. Tate
| Year of publication: |
November-December 2018
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| Authors: | Sayegh, Arwa S. ; Connors, Richard D. ; Tate, James E. |
| Published in: |
Transportation science : a journal of the Institute for Operations Research and the Management Sciences. - Catonsville, MD : Transportation Science & Logistics Society of the Institute for Operations Research and the Management Sciences, ISSN 0041-1655, ZDB-ID 160958-0. - Vol. 52.2018, 6, p. 1327-1346
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| Subject: | traffic-related air pollutants | modeling chain | calibration and validation | ensemble-based optimisation | error estimation | Monte Carlo | Luftverschmutzung | Air pollution | Monte-Carlo-Simulation | Monte Carlo simulation | Simulation | Modellierung | Scientific modelling | Prognoseverfahren | Forecasting model | Schätztheorie | Estimation theory |
| Type of publication: | Article |
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| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1287/trsc.2017.0787 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10011975790