A Global Sensitivity Analysis of Dynamic Loading and Route Selection Parameters on Network Performances

Autor: Ludovic Leclercq, Charlotte Duruisseau
Přispěvatelé: Laboratoire d'Ingénierie Circulation Transport (LICIT UMR TE), Université de Lyon-École Nationale des Travaux Publics de l'État (ENTPE)-Institut Français des Sciences et Technologies des Transports, de l'Aménagement et des Réseaux (IFSTTAR), EC/H2020/646592/EU/A Multiscale and Multimodal Modelling Approach for Green Urban Traffic Management/MAGnUM_ERC
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Imagination
[SPI.OTHER]Engineering Sciences [physics]/Other
Economics and Econometrics
Mathematical optimization
Article Subject
Computer science
Strategy and Management
media_common.quotation_subject
Flow (psychology)
OD MATRIX
01 natural sciences
ITINERAIRE ROUTIER
010104 statistics & probability
Matrix (mathematics)
GESTION DYNAMIQUE DES VOIES
0502 economics and business
Range (statistics)
TRAFIC ROUTIER
0101 mathematics
Selection (genetic algorithm)
media_common
050210 logistics & transportation
Mechanical Engineering
05 social sciences
lcsh:TA1001-1280
Variance (accounting)
GLOBAL SENSITIVITY ANALYSIS
lcsh:HE1-9990
MODELISATION
RESEAU ROUTIER
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
PATH FLOW
Computer Science Applications
AFFECTATION DU TRAFIC
Dynamic loading
Automotive Engineering
SIMULATION
VOLUME DE TRAFIC
lcsh:Transportation engineering
lcsh:Transportation and communications
Routing (electronic design automation)
REGULATION DU TRAFIC
RESEAU URBAIN
Zdroj: Journal of Advanced Transportation
Journal of Advanced Transportation, Hindawi Publishing Corporation, 2018, 2018, pp.8414069. ⟨10.1155/2018/8414069⟩
Journal of Advanced Transportation, Vol 2018 (2018)
ISSN: 0197-6729
2042-3195
DOI: 10.1155/2018/8414069
Popis: We conduct a Global Sensitivity Analysis (GSA) of urban-scale network performances to parameters representing a wide range of realistic dynamic loadings, decomposed in a choice of OD matrix, routing alternatives, and paths flow distribution. A special attention is given to the route alternatives generation, where overlapping metrics and selection methods are introduced to reproduce a wide variety of paths sets configuration. Paths flow distributions are calculated based on different equilibrium criteria. Several sets of simulations are conducted and analyzed graphically and then with a variance-based GSA method so as to get insights on how much and in which conditions each network loading parameter influences network performances by itself or by interaction. Results notably reveal that the demand level is the most decisive parameter since low values simply lead to free-flow conditions with no influence of the other parameters, whereas higher values lead to a wide diversity of network states going from close to capacity but stable to gridlocked. While a nonnegligible amount of this disparity is explained by the demand pattern parameter, the number of paths per OD, their overlapping, and the equilibrium criterion of the paths flow distribution are still influential enough to maintain the network close to its optimal capacity or to prevent the network from fast collapse (gridlock). The highlighted connection between spatial and temporal heterogeneities of the network states explains the gridlocking phenomena. These extracted insights are very encouraging for operational implementations.
Databáze: OpenAIRE
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