Road traffic forecasting: Recent advances and new challenges

I Lana, J Del Ser, M Velez… - IEEE Intelligent …, 2018 - ieeexplore.ieee.org
Due to its paramount relevance in transport planning and logistics, road traffic forecasting
has been a subject of active research within the engineering community for more than 40 …

Deep learning models for traffic flow prediction in autonomous vehicles: A review, solutions, and challenges

A Miglani, N Kumar - Vehicular Communications, 2019 - Elsevier
In the last few years, there has been an exponential increase in the usage of the
autonomous vehicles across the globe. It is due to an exponential increase in the popularity …

Traffic flow prediction with big data: A deep learning approach

Y Lv, Y Duan, W Kang, Z Li… - Ieee transactions on …, 2014 - ieeexplore.ieee.org
Accurate and timely traffic flow information is important for the successful deployment of
intelligent transportation systems. Over the last few years, traffic data have been exploding …

Short-term traffic flow rate forecasting based on identifying similar traffic patterns

FG Habtemichael, M Cetin - Transportation research Part C: emerging …, 2016 - Elsevier
The ability to timely and accurately forecast the evolution of traffic is very important in traffic
management and control applications. This paper proposes a non-parametric and data …

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 …

A unified framework for vehicle rerouting and traffic light control to reduce traffic congestion

Z Cao, S Jiang, J Zhang, H Guo - IEEE transactions on …, 2016 - ieeexplore.ieee.org
As the number of vehicles grows rapidly each year, more and more traffic congestion occurs,
becoming a big issue for civil engineers in almost all metropolitan cities. In this paper, we …

[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 …

Short-term freeway traffic parameter prediction: Application of grey system theory models

A Bezuglov, G Comert - Expert Systems with Applications, 2016 - Elsevier
Intelligent transportation systems applications require accurate and robust prediction of
traffic parameters such as speed, travel time, and flow. However, traffic exhibits sudden shifts …

Short-term traffic flow prediction with LSTM recurrent neural network

D Kang, Y Lv, Y Chen - 2017 IEEE 20th international …, 2017 - ieeexplore.ieee.org
Accurate and timely short-term traffic flow prediction plays an important role in intelligent
transportation management and control. Traffic flow prediction has a long history and is still …

Trafficgan: Network-scale deep traffic prediction with generative adversarial nets

Y Zhang, S Wang, B Chen, J Cao… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Traffic flow prediction has received rising research interest recently since it is a key step to
prevent and relieve traffic congestion in urban areas. Existing methods mostly focus on road …