Dynamic Traffic Assignment for regional networks with traffic-dependent trip lengths and regional paths
Autor: | Monica Menendez, S. F. A. Batista, Ludovic Leclercq |
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Přispěvatelé: | New York University [Abu Dhabi], NYU System (NYU), 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 |
Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
REGIONAL DYNAMIC TRAFFIC ASSIGNMENT
REGIONAL PATHS Computer science MACROSCOPIC FUNDAMENTAL DIAGRAM DUREE DU TRAJET Transportation 010501 environmental sciences Management Science and Operations Research CIRCULATION ROUTIERE 01 natural sciences Then test AGGREGATED TRAFFIC MODELS GESTION DYNAMIQUE DES VOIES TRAFFIC-DEPENDENT TRIP LENGTHS 0502 economics and business TRAFIC ROUTIER 0105 earth and related environmental sciences Civil and Structural Engineering 050210 logistics & transportation MODELE STOCHASTIQUE 05 social sciences Diagram Trip length ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS MODELE MACROSCOPIQUE Traffic dynamics MODELISATION [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation GESTION DU TRAFIC AFFECTATION DU TRAFIC Feature (computer vision) Automotive Engineering Traffic conditions SIMULATION Key (cryptography) Algorithm |
Zdroj: | Transportation Research, Part C: Emerging Technologies Transportation Research, Part C: Emerging Technologies, 2021, 26p Transportation research. Part C, Emerging technologies Transportation research. Part C, Emerging technologies, Elsevier, 2021, 127, 26p. ⟨10.1016/j.trc.2021.103076⟩ |
ISSN: | 0968-090X 1879-2359 |
Popis: | The estimation of trip lengths has been proven to be a key feature for the application of aggregated traffic models based on the Macroscopic Fundamental Diagram. The paths and distances to be traveled by vehicles in regional networks vary over time, due to changes in the traffic conditions. In this paper, we develop a methodological framework to explicitly determine traffic-dependent regional paths and estimate their travel distances. This framework is incorporated into a dynamic traffic assignment module designed to target the Deterministic and Stochastic User Equilibrium in regional networks. We first discuss how regional paths and their characteristic trip lengths are influenced by changes in the regional traffic dynamics. We then test the proposed methodology for estimating traffic-dependent travel distances on small and medium-sized networks, considering a simulation environment. We show that our methodology provides good estimations of the traffic-dependent trip lengths. Our results also shed light on the importance of how time-dependent trip lengths influence the traffic dynamics in the regions. |
Databáze: | OpenAIRE |
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