Simulation and comparison of two fusion methods for macroscopic fundamental diagram estimation

Simulation and comparison of two fusion methods for macroscopic fundamental diagram estimation

Accurate estimation of macroscopic fundamental diagram (MFD) is the precondition of MFD’s application. At present, there are two traditional estimation methods of road network’s MFD, such as the loop detector data (LDD) estimation method and the floating car data (FCD) estimation method, but there a...

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Bibliographic Details
Main Authors: Xiaohui Lin, Jianmin Xu, Chengtao Cao
Format: Article
Language:English
Published: Faculty of Transport, Warsaw University of Technology 2019-09-01
Series:Archives of Transport
Subjects:
traffic engineering
macroscopic fundamental diagrams estimation
adaptive weighted averaging
back propagation neural network
data fusion
Vissim traffic simulation
Online Access:http://aot.publisherspanel.com/gicid/01.3001.0013.6161

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http://aot.publisherspanel.com/gicid/01.3001.0013.6161

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