Paper Info
Title
Predicting Shuttle Arrival Time in Istanbul.
Abstract
Nowadays, transportation companies look for smart solutions in order to improve quality of their services. Accordingly, an intercity bus company in Istanbul aims to improve their shuttle schedules. This paper proposes revising scheduling of the shuttles based on their estimated travel time in the given timeline. Since travel time varies depending on the date of travel, weather, distance, we present a prediction model using both travel history and additional information such as distance, holiday, and weather. The results showed that Random Forest algorithm outperformed other methods and adding additional features increased its accuracy rate.
Year
DOI
Venue
2019
10.1007/978-3-030-23887-2_6
DISTRIBUTED COMPUTING AND ARTIFICIAL INTELLIGENCE, 16TH INTERNATIONAL CONFERENCE
Keywords
Field
DocType
Smart cities,Transportation,Information Fusion,Data Science
Data mining,Computer science,Scheduling (computing),Operations research,Timeline,Schedule,Travel time,Random forest,Information fusion
Conference
Volume
ISSN
Citations 
1003
2194-5357
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Selami Çoban100.34
Victor Sanchez-Anguix210214.87
Reyhan Aydoǧan35112.96