Kalman filtering estimation of traffic counts for two network links in tandem

D Gazis, C Liu - Transportation Research Part B: Methodological, 2003 - Elsevier
Estimating accurately the vehicular density along roads is very important for managing and
controlling traffic operations in urban networks. The vehicular density information may be …

[HTML][HTML] Long-term traffic flow forecasting using a hybrid CNN-BiLSTM model

M Méndez, MG Merayo, M Núñez - Engineering Applications of Artificial …, 2023 - Elsevier
The increase of road traffic in large cities during the last years has produced that long and
short-term traffic flow forecasting is a critical need for the authorities. The availability of good …

A machine learning approach to short-term traffic flow prediction: A case study of interstate 64 in Missouri

O Mohammed, J Kianfar - 2018 IEEE International Smart Cities …, 2018 - ieeexplore.ieee.org
Proactive traffic management is a subset of smart mobility applications in which traffic control
strategies are implemented in advance to respond to anticipated roadway conditions …

An aggregation approach to short-term traffic flow prediction

MC Tan, SC Wong, JM Xu, ZR Guan… - IEEE Transactions on …, 2009 - ieeexplore.ieee.org
In this paper, an aggregation approach is proposed for traffic flow prediction that is based on
the moving average (MA), exponential smoothing (ES), autoregressive MA (ARIMA), and …

Urban traffic congestion estimation and prediction based on floating car trajectory data

X Kong, Z Xu, G Shen, J Wang, Q Yang… - Future Generation …, 2016 - Elsevier
Traffic flow prediction is an important precondition to alleviate traffic congestion in large-
scale urban areas. Recently, some estimation and prediction methods have been proposed …

A data fusion approach for real-time traffic state estimation in urban signalized links

MR Shahrbabaki, AA Safavi, M Papageorgiou… - … research part C …, 2018 - Elsevier
Real-time estimation of the traffic state in urban signalized links is valuable information for
modern traffic control and management. In recent years, with the development of in-vehicle …

Traffic volume forecasting based on radial basis function neural network with the consideration of traffic flows at the adjacent intersections

JZ Zhu, JX Cao, Y Zhu - Transportation Research Part C: Emerging …, 2014 - Elsevier
The forecasting of short-term traffic flow is one of the key issues in the field of dynamic traffic
control and management. Because of the uncertainty and nonlinearity, short-term traffic flow …

Machine learning-based traffic prediction models for intelligent transportation systems

A Boukerche, J Wang - Computer Networks, 2020 - Elsevier
Abstract Intelligent Transportation Systems (ITS) have attracted an increasing amount of
attention in recent years. Thanks to the fast development of vehicular computing hardware …

Machine learning approach to short-term traffic congestion prediction in a connected environment

A Elfar, A Talebpour… - Transportation Research …, 2018 - journals.sagepub.com
Traffic congestion is a complex phenomenon triggered by a combination of multiple
interacting factors. One of the main factors is the disturbances caused by individual vehicles …

A comparative study of three multivariate short-term freeway traffic flow forecasting methods with missing data

Y Zhang, Y Zhang - Journal of Intelligent Transportation Systems, 2016 - Taylor & Francis
Short-term traffic flow forecasting is a critical function in advanced traffic management
systems (ATMS) and advanced traveler information systems (ATIS). Accurate forecasting …