A review of travel time estimation and forecasting for advanced traveller information systems
U Mori, A Mendiburu, M Álvarez… - … A: Transport Science, 2015 - Taylor & Francis
Due to the increase in vehicle transit and congestion in road networks, providing information
about the state of the traffic to commuters has become a critical issue for Advanced Traveller …
about the state of the traffic to commuters has become a critical issue for Advanced Traveller …
Short-term travel-time prediction on highway: a review of the data-driven approach
Near future travel-time information is one of the most critical factors that travellers consider
before making trip decisions. In efforts to provide more reliable future travel-time estimations …
before making trip decisions. In efforts to provide more reliable future travel-time estimations …
Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values
Short-term traffic forecasting based on deep learning methods, especially recurrent neural
networks (RNN), has received much attention in recent years. However, the potential of RNN …
networks (RNN), has received much attention in recent years. However, the potential of RNN …
Long short-term memory neural network for traffic speed prediction using remote microwave sensor data
Neural networks have been extensively applied to short-term traffic prediction in the past
years. This study proposes a novel architecture of neural networks, Long Short-Term Neural …
years. This study proposes a novel architecture of neural networks, Long Short-Term Neural …
Short-term traffic flow prediction using seasonal ARIMA model with limited input data
SV Kumar, L Vanajakshi - European Transport Research Review, 2015 - Springer
Background Accurate prediction of traffic flow is an integral component in most of the
Intelligent Transportation Systems (ITS) applications. The data driven approach using Box …
Intelligent Transportation Systems (ITS) applications. The data driven approach using Box …
An improved fuzzy neural network for traffic speed prediction considering periodic characteristic
This paper proposes a new method in construction fuzzy neural network to forecast travel
speed for multi-step ahead based on 2-min travel speed data collected from three remote …
speed for multi-step ahead based on 2-min travel speed data collected from three remote …
[PDF][PDF] Short-term traffic and travel time prediction models
JWC Van Lint, C Van Hinsbergen - … Intelligence Applications to …, 2012 - onlinepubs.trb.org
Delft University of Technology oad traffic is the visible result of the complex interplay
between traffic demand (the amount and mix of vehicles arriving at a particular place and …
between traffic demand (the amount and mix of vehicles arriving at a particular place and …
Travel time prediction under heterogeneous traffic conditions using global positioning system data from buses
Travel time information is a vital component of many intelligent transportation systems (ITS)
applications. In recent years, the number of vehicles in India has increased tremendously …
applications. In recent years, the number of vehicles in India has increased tremendously …
Crowd sourced traffic reporting
A Guéziec - US Patent 8,718,910, 2014 - Google Patents
5,220,507 5,247.439 5,262.775 5,276,785 5,283,575 5,291,412 5,291,413 5,291,414
5,297,028 5,297,049 5,303,159 5,311,195 5,311,434 5,339,246 5,343,400 5,345.382 …
5,297,028 5,297,049 5,303,159 5,311,195 5,311,434 5,339,246 5,343,400 5,345.382 …
Highway speed prediction using gated recurrent unit neural networks
MH Jeong, TY Lee, SB Jeon, M Youm - Applied Sciences, 2021 - mdpi.com
Movement analytics and mobility insights play a crucial role in urban planning and
transportation management. The plethora of mobility data sources, such as GPS trajectories …
transportation management. The plethora of mobility data sources, such as GPS trajectories …