Authors :
T.W.M.P. Premadasa; D.G.S.M. Karunathilake; W.A.S Wickramasinghe; K.G.H. Abeywardhana; Anushka Athulathmudali; K.W.R.C.W.A.M.G.S. Koswatta; M.H. Husni Mohamed; D.C.M. Senavirathna; Pradeep Abeygunawardhana
Volume/Issue :
Volume 8 - 2023, Issue 11 - November
Google Scholar :
https://tinyurl.com/266jw2u7
Scribd :
https://tinyurl.com/yc665pyt
DOI :
https://doi.org/10.5281/zenodo.10362258
Abstract :
This project is a GPS (Global Positioning
System) based system which helps passengers to know
the expected time of arrival of the bus to their
prospective halt or a particular location using present
GPS data of the passenger and the bus. Within the ‘Bus
Tracking and Arrival Prediction System’, each bus has
a GPS tracker to track the bus. GPS tracker on the
bus is used to locate the bus its coordinates and the
speed of the bus are pushed on to the server to calculate
an accurate arrival time to a user desired destination.
Moreover, the server uses the received information on
buses location and speed to identify the moving patterns.
So, the owners of the private buses or the relevant
authorities can monitor the moving pattern of their fleet
and will be able to give feedback to the users. All system
information is maintained in a database. Stored
information will help to develop better algorithms in the
future on predicting more accurate arrival time of their
next bus service to the passengers.
Keywords :
GPS, Tracking, Prediction, Passengers.
This project is a GPS (Global Positioning
System) based system which helps passengers to know
the expected time of arrival of the bus to their
prospective halt or a particular location using present
GPS data of the passenger and the bus. Within the ‘Bus
Tracking and Arrival Prediction System’, each bus has
a GPS tracker to track the bus. GPS tracker on the
bus is used to locate the bus its coordinates and the
speed of the bus are pushed on to the server to calculate
an accurate arrival time to a user desired destination.
Moreover, the server uses the received information on
buses location and speed to identify the moving patterns.
So, the owners of the private buses or the relevant
authorities can monitor the moving pattern of their fleet
and will be able to give feedback to the users. All system
information is maintained in a database. Stored
information will help to develop better algorithms in the
future on predicting more accurate arrival time of their
next bus service to the passengers.
Keywords :
GPS, Tracking, Prediction, Passengers.