Estimating bus dwell time: A review of the literature

S Rashidi, S Ataeian, P Ranjitkar - Transport Reviews, 2023 - Taylor & Francis
An accurate estimation of bus dwell time (BDT) is important as it directly influences the
prediction of vehicles' arrival times at bus stops and hence, the reliability of their services …

[PDF][PDF] Ensemble Learning with Supervised Machine Learning Models to Predict Credit Card Fraud Transactions.

MR Baker, ZN Mahmood… - Revue d'Intelligence …, 2022 - researchgate.net
Accepted: 19 August 2022 In recent years, the highly boosting development in e-commerce
technologies made it possible for people to select the most desirable items from shops and …

Bus dwell time modeling using gene expression programming

S Rashidi, P Ranjitkar - Computer‐Aided Civil and …, 2015 - Wiley Online Library
This article proposes a gene expression programming (GEP)‐based approach to model and
estimate bus dwell time (BDT) as an alternative to the more commonly used multiple linear …

Bus dwell time prediction based on KNN

J Xin, S Chen - Procedia engineering, 2016 - Elsevier
The objective of this research is to develop a dynamic model to predict bus dwell time at
downstream stops. The research also intends to test the proposed model using real-world …

Bus dwell time estimation and overtaking maneuvers analysis: A stochastic process approach

T Wang, L Huang, J Tian, J Zhang, Z Yuan… - … Research Part E …, 2024 - Elsevier
The precise estimation of bus dwell time (BDT) is immensely important as it directly impacts
the reliability of bus schedules and the accuracy of arrival time predictions. Various factors …

Bus arrival time modeling based on auckland data

P Ranjitkar, LS Tey, E Chakravorty… - Transportation …, 2019 - journals.sagepub.com
Inaccurate bus arrival time predictions are counterproductive to changing transport habits
and promoting public transport use. This research sought to improve the bus passenger …

Multi-output deep learning for bus arrival time predictions

NC Petersen, F Rodrigues, FC Pereira - Transportation Research Procedia, 2019 - Elsevier
Accurate and reliable predictions for bus arrival in public transport networks are essential for
delivering an attractive service. This paper presents a multi-model approach for bus arrival …

Using automatic vehicle location data to model and identify determinants of bus bunching

S Rashidi, P Ranjitkar, O Csaba, A Hooper - Transportation research …, 2017 - Elsevier
Bunching is recognized as one of the deteriorating factors affecting the performance of
public transport networks. In this study, for the first time, Gene Expression Programming …

An optimal forecasting method of passenger traffic in Greek coastal shipping

I Sitzimis - International Journal of Business and Economic …, 2021 - ceeol.com
Purpose: The main goal of this study is to exact an optimal forecasting method by answering
the research question: which is the best model for capturing short-term seasonal …

[PDF][PDF] Bus travel time prediction: a log-normal auto-regressive (AR) modeling approach

BDBA Kumar, A Achar, L Vanajakshi - arXiv preprint arXiv …, 2019 - academia.edu
Providing real-time arrival time information of the transit buses has become inevitable in
urban areas to improve the efficiency of the public transportation system. However, accurate …