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Deep Architecture for Traffic Flow Prediction
2013Traffic flow prediction is a fundamental problem in transportation modeling and management. Many existing approaches fail at providing favorable results duo to 1shallow in architecture;2hand engineered in features. In this paper, we propose a deep architecture consists of two parts: a Deep Belief Network in the bottom and a regression layer on the top.
Wenhao Huang 0001 +5 more
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Traffic Flow Prediction with Compact Neural Networks
2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2019As a crucial role of the Intelligent Transportation Systems, real-time traffic flow prediction technology is increasingly required for society. Traffic flow prediction is based on historical traffic data to predict upcoming traffic flow. In this paper, we employ Recurrent Residual Network and Temporal Convolutional Network to predict the traffic flow ...
Yuhang Li +3 more
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Long Term Prediction of Traffic Flow
IFAC Proceedings Volumes, 1987Abstract Prediction of traffic flow is now becoming a basic problem in designing variable information boards or route guidance (route telling) systems in road networks. Although, time series analysis is widely applied to this problem, it is known that the error of prediction increases rapidly as the prediction lead time increases and it is difficult ...
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Adaptive Bayesian network for traffic flow prediction
2011 IEEE Statistical Signal Processing Workshop (SSP), 2011Traffic control is essential for the achievement of a sustainable and safe mobility. Monitoring systems for traffic control collect a great amount of data that must be efficiently processed by estimation/prevision models to support operations of traffic management.
PASCALE, ALESSANDRA +1 more
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An Urban Traffic Signal Control System Based on Traffic Flow Prediction
2021 13th International Conference on Advanced Computational Intelligence (ICACI), 2021How to improve travel efficiency and alleviate traffic congestion has long been a key problem in intelligent transportation systems. Traffic signal control is a basic tool for urban traffic management. Traditionally, the optimization of traffic light schedule and the prediction of traffic flows are studied separately.
Chun-Yao Jiang +2 more
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Vehicular traffic flow prediction using deployed traffic counters in a city
Future Generation Computer Systems, 2022Abstract The sustainable growth of cities created the need for better informed decisions based on information and communication technologies to sense the city and quantify its pulse. An important part of this concept of “smart cities” is the characterization of vehicular traffic flows and the prediction of urban mobility.
Ana Almeida +3 more
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Deep Neural Networks for traffic flow prediction
2017 IEEE International Conference on Big Data and Smart Computing (BigComp), 2017Traffic flow prediction is an essential function of traffic information systems. Conventional approaches, using artificial neural networks with narrow network architecture and poor training samples for supervised learning, have been only partially successful.
Hongsuk Yi, HeeJin Jung, Sanghoon Bae
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Prediction of Traffic Flow at the Boundary of a Motorway Network
IEEE Transactions on Intelligent Transportation Systems, 2014For online traffic control at traffic control centers, there is a need for predictions of the traffic flow during a short horizon, for example, 30 min ahead. For this effort, predictions are needed of the traffic inflow into the network at motorways on the network boundary and at on-ramps.
Yubin Wang +2 more
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Traffic Flow Prediction for Road Intersection Safety
2018 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), 2018Road safety is a significant issue in any intelligent transportation system (ITS). Intersections are the most complex part of the road network, as they involve various participants, such as vehicles and pedestrians. Therefore, providing an accurate traffic flow prediction model will enhance traffic efficiency and reduce common problems, such as ...
Walaa Alajali +2 more
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The System for Predicting the Traffic Flow with the Real-Time Traffic Information
2006One of the common services of telematics is the car navigation that finds the shortest path from source to target. Until now, some routing algorithms of the car navigation do not consider the real-time traffic information and use the static shortest path algorithm. In this paper, we proposed the method to predict the traffic flow in the future.
Mi-Gyung Cho +2 more
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