Bus arrival time prediction: A spatial Kalman filter approach

A Achar, D Bharathi, BA Kumar… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Public transport buses have uncertainties associated with its arrival/travel times, due to
several factors such as signals, dwell times at bus stops, seasonal variations, fluctuating …

Developing a travel time estimation method of freeway based on floating car using random forests

J Cheng, G Li, X Chen - Journal of advanced transportation, 2019 - Wiley Online Library
Travel time of traffic flow is the basis of traffic guidance. To improve the estimation accuracy,
a travel time estimation model based on Random Forests is proposed. 7 influence variables …

Dynamic bus arrival time prediction exploiting non-linear correlations

A Achar, R Regikumar, BA Kumar - 2019 International Joint …, 2019 - ieeexplore.ieee.org
Public transport buses exhibit uncertainties in their arrival/travel times, due to several factors
such as signals, dwell times at bus stops, seasonal variations, fluctuating travel demands …

A Seasonal Modelling Approach Capturing Spatio-Temporal Correlations for Dynamic Bus Travel Time Prediction

BA Kumar, A Achar, D Bharathi… - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
The accuracy of arrival time information provided to passengers plays a vital role in the
success of developing mobility solutions. For better prediction accuracy, the prediction …

Generating Artificial Data to Evaluate Machine Learning Predictive Algorithms for Bus Travel Time

L dos Santos Ribeiro, TP Faleiros… - Journal of Information …, 2019 - periodicos.ufmg.br
This paper proposes a simulator capable of quickly generating a large amount of data that
may be used to train bus travel time predictive algorithms in an urban transport network. To …