Intelligent Scheduling and Analysis of Public Transport Using Supervised Machine Learning.

Atole, Adesh; Shingade, Abhijeet; Galphat, Piyush; Dharmadhikari, Shashank; Thakare, Bhushan

doi:10.21474/ijar01/758

Search citation statements

Order By: Relevance

Paper Sections

Select...

Literature Review1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this study, mathematical modelling was employed through the use of a variant of a particle swarm optimization algorithm to achieve reduction in both the wait time of commuters and the operation cost of the buses (Quan, et al, 2015). Real-time tracking of buses to provide commuters with near accurate arrival times was used in this study to help predict demand rush on the routes for optimal scheduling (Atole, et al, 2016). These different studies above have shown several modelling techniques that have brought about reduction in the waiting time of commuters in the bus queues.…”

Section: Literature Reviewmentioning

confidence: 99%