Multi-output bus travel time prediction with convolutional LSTM neural network
NC Petersen, F Rodrigues, FC Pereira - Expert Systems with Applications, 2019 - Elsevier
Accurate and reliable travel time predictions in public transport networks are essential for
delivering an attractive service that is able to compete with other modes of transport in urban …
delivering an attractive service that is able to compete with other modes of transport in urban …
A deep learning approach to the citywide traffic accident risk prediction
With the rapid development of urbanization, the boom of vehicle numbers has resulted in
serious traffic accidents, which led to casualties and huge economic losses. The ability to …
serious traffic accidents, which led to casualties and huge economic losses. The ability to …
Bus travel time prediction with real-time traffic information
An important aspect of Intelligent Public Transportation Systems (IPTS) is providing accurate
travel time information. Knowing arrival times of public vehicles in advance can reduce …
travel time information. Knowing arrival times of public vehicles in advance can reduce …
Bus arrival time prediction based on LSTM and spatial-temporal feature vector
H Liu, H Xu, Y Yan, Z Cai, T Sun, W Li - IEEE Access, 2020 - ieeexplore.ieee.org
Bus arrival prediction has important implications for public travel, urban dispatch, and
mitigation of traffic congestion. The factors affecting urban traffic conditions are complex and …
mitigation of traffic congestion. The factors affecting urban traffic conditions are complex and …
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 …
several factors such as signals, dwell times at bus stops, seasonal variations, fluctuating …
Bus arrival time prediction and reliability analysis: An experimental comparison of functional data analysis and Bayesian support vector regression
To maintain the stability and punctuality of bus systems, an accurate forecast of arrival time
is essential to devise control strategies to prevent bus bunching especially under congested …
is essential to devise control strategies to prevent bus bunching especially under congested …
A novel bus-dispatching model based on passenger flow and arrival time prediction
Public transport is vital to people's daily travel, and bus dispatching plays a significant role in
the public transport system. With deep learning having been widely applied and achieved …
the public transport system. With deep learning having been widely applied and achieved …
Bus arrival time prediction at any distance of bus route using deep neural network model
W Treethidtaphat, W Pattara-Atikom… - 2017 IEEE 20th …, 2017 - ieeexplore.ieee.org
A precise prediction of transportation time is important to help both passengers to plan their
trips and bus operations control to make an effective fleet management. In this study, we …
trips and bus operations control to make an effective fleet management. In this study, we …
Probabilistic forecasting of bus travel time with a Bayesian Gaussian mixture model
Accurate forecasting of bus travel time and its uncertainty is critical to service quality and
operation of transit systems: it can help passengers make informed decisions on departure …
operation of transit systems: it can help passengers make informed decisions on departure …
Bus travel time prediction model based on profile similarity
T Cristóbal, G Padrón, A Quesada-Arencibia, F Alayón… - Sensors, 2019 - mdpi.com
In road-based mass transit systems, travel time is a key factor in providing quality of service.
This article proposes a method of predicting travel time for this type of transport system. This …
This article proposes a method of predicting travel time for this type of transport system. This …