Predicting Shuttle Arrival Time in Istanbul

Cobab, Selami; Sanchez-Anguix, Victor; Aydoğan, Reyhan

Predicting Shuttle Arrival Time in Istanbul

Conference paper (2020)

Authors

Selami Cobab Özyeğin University

Victor Sanchez-Anguix Florida Universitària

Reyhan Aydoğan Interactive Intelligence -

Research Group

Interactive Intelligence () (TU Delft)

Data Science Transportation Smart cities Information Fusion

To reference this document use:

http://resolver.tudelft.nl/uuid:7faaee37-2a5d-4391-b946-3b8e3f0472a1

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Published Date

01-01-2020

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Intelligent Systems

Research Group

Interactive Intelligence

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.