Learning link marginals from dynamic simulation to calculate sustainable system optimum
| Autor: | Chen, Ruiwei, BECARIE, Cécile, Leclercq, Ludovic |
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| Přispěvatelé: | Laboratoire d'Ingénierie Circulation Transport (LICIT UMR TE ), École Nationale des Travaux Publics de l'État (ENTPE)-Université de Lyon-Université Gustave Eiffel, EC/H2020/646592/EU/A Multiscale and Multimodal Modelling Approach for Green Urban Traffic Management/MAGnUM_ERC, Cadic, Ifsttar |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
DYNAMIC TRAFFIC ASSIGNMENT (DTA)
OPTIMISATION COPERT MODELISATION [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation GESTION DU TRAFIC CONTROLE DES EMISSIONS AFFECTATION DU TRAFIC LINK PERFORMANCE FUNCTION LEARNING PROCESS SIMULATION TRAFIC ROUTIER POLLUANT [INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation SUSTAINABLE SYSTEM OPTIMUM (SSO) LINK MARGINAL EMISSION |
| Zdroj: | hEART 2020, 9th Symposium of the European Association for Research in Transportation-Virtual conference hEART 2020, 9th Symposium of the European Association for Research in Transportation-Virtual conference, Feb 2021, Lyon, France. 13p |
| Popis: | hEART 2020, 9th Symposium of the European Association for Research in Transportation - Virtual conference, Lyon, FRANCE, 03-/02/2021 - 04/02/2021; This work focuses on dynamic sustainable system optimum (SSO). When carrying out dynamic SSO assignment, instead of minimizing their own travel cost of each user, we aim to define an SSO status to minimize the on-road traffic emissions of the whole system. The method is based on an system-optimization program. This work proposes a simple, intuitive, simulation-based methodological framework for solving the SSO problem. The main contribution of this paper is to propose a statistically reliable learning process of link marginals that permits to derive link performance function from any DTA simulator. Then the obtained functions can be used to compute network equilibrium including SSO. A test case is carried out on a toy network. Numerical results show that with the help of the proposed method, we can reduce 5.79% of carbon monoxide (CO) emission on the whole system under SSO equilibrium, when compared with UE. |
| Databáze: | OpenAIRE |
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