Dynamic Traffic Assignment for regional networks with traffic-dependent trip lengths and regional paths

Autor: Monica Menendez, S. F. A. Batista, Ludovic Leclercq
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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