MACHINE LEARNING IN TRANSPORTATION ENGINEERING: A FEASIBILITY STUDY

Study of Machine Learning Methods in Intelligent Transportation Systems

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Analyzing the performance of different machine learning methods in determining the transportation mode using trajectory data

With the widespread advent of the smart phones equipping with Global Positioning System (GPS), a huge volume of users’ trajectory data was generated. To facilitate urban management and present appropriate services to users, studying these data was raised as a widespread research filed and has been developing since then. In this research, the transportation mode of users’ trajectories was identi...

MACHINE LEARNING SOLUTIONS FOR TRANSPORTATION NETWORKS by

Feasibility in Transportation

In this paper we consider a new type of mixed integer programming problem: Transportation Network with Supply Eating Arcs. This problem arises from an application in intelligent telecommunications] networks, IN. It contains within its deenition many classical mixed integer programming problems. The problem is deened as a transportation network with an additional condition. For an arc to have po...

the relationship between iranian efl learners beliefs about rote learning, their use of vocabulary learning strategies and their success in vocabulary learning: a think-aloud protocol study

the purpose of this study was to investigate iranian efl learners’ beliefs about the role of rote learning (rl) in vocabulary learning strategies; besides, the study examined if english proficiency would influence learners’ vocabulary learning strategy use. this study addresses the need for a clear understanding of the role of rl in efl vocabulary learning by looking at iranian efl learners’ ow...