1. Experimental assessment of traffic density estimation at link and network level with sparse data
- Author
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Ludovic Leclercq, Anna Takayasu, Nikolas Geroliminis, Laboratoire d'Ingénierie Circulation Transport (LICIT UMR TE ), École Nationale des Travaux Publics de l'État (ENTPE)-Université de Lyon-Université Gustave Eiffel, School of Architecture, Civil and Environmental Engineering (ENAC), and Ecole Polytechnique Fédérale de Lausanne (EPFL)
- Subjects
[SPI.OTHER]Engineering Sciences [physics]/Other ,0209 industrial biotechnology ,Computer science ,FUSION DE DONNEES ,highway ,Transportation ,02 engineering and technology ,LOOP DETECTORS ,computer.software_genre ,PROBE VEHICLES ,FUSING TRAFFIC DATA ,020901 industrial engineering & automation ,0502 economics and business ,Network level ,TRAFIC ROUTIER ,waves ,state estimation ,DENSITE DU TRAFIC ,Sparse matrix ,050210 logistics & transportation ,TRAFFIC STATE ESTIMATION ,05 social sciences ,Link (geometry) ,Density estimation ,calibration ,MODELISATION ,[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation ,GESTION DU TRAFIC ,TRAITEMENT EN TEMPS REEL ,Modeling and Simulation ,flow ,vehicle ,SIMULATION ,Data mining ,computer ,Software ,DENSITY ESTIMATION - Abstract
This paper investigates the accuracy of mean density estimation from direct sensing at link and network levels. Different calculation methods are compared depending on sensor type, probe vehicles or loop detectors, and availability to quantify the magnitude of expected errors. Probe data are essential to reduce the error but accurate density estimation requires high penetration rates, which is hardly true in practice. We enhance the fishing rate method, i.e. using the ratio of probes detected at the loop locations over the loop flow, to estimate density. Accurate density estimation at the link level can only be obtained when probes and loop data are available in real-time. At the network level, accurate density estimations can be obtained when combining loop and probe observations, even if few links capture both data sources. It requires applying the proper analytical formulation to aggregate the local observations, i.e. carefully defining fishing rates at this scale.
- Published
- 2021