首页|期刊导航|现代交通学报(英文版)|A neural network algorithm for queue length estimation based on the concept of k-leader connected vehicles
A neural network algorithm for queue length estimation based on the concept of k-leader connected vehiclesOA
A neural network algorithm for queue length estimation based on the concept of k-leader connected vehicles
Azadeh Emami;Majid Sarvi;Saeed Asadi Bagloee
Department of Infrastructure Engineering, University of Melbourne, Parkville, AustraliaDepartment of Infrastructure Engineering, University of Melbourne, Parkville, AustraliaDepartment of Infrastructure Engineering, University of Melbourne, Parkville, Australia
CVsQueue estimationArtificial neural network (ANN)
CVsQueue estimationArtificial neural network (ANN)
《现代交通学报(英文版)》 2019 (4)
341-354,14
This work has been sponsored by the Australian Integrated Multimodal EcoSystem (AIMES), https://industry.eng. unimelb.edu.au/aimes. The authors would like to thank their industry and government partners, namely VicRoads, Department of Transport, Traffic Accident Commissions, CUBIC, PTV Group, Cisco.
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