Vehicular traffic flow prediction using deployed traffic counters in a city
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 …
information and communication technologies to sense the city and quantify its pulse. An …
Traffic prediction using time-space diagram: a convolutional neural network approach
M Khajeh Hosseini… - Transportation Research …, 2019 - journals.sagepub.com
Traffic prediction is a major component of any traffic management system. With the increase
in data sources and advancement in connectivity, data analysis and machine learning …
in data sources and advancement in connectivity, data analysis and machine learning …
Survey on traffic prediction in smart cities
The rapid development in machine learning and in the emergence of new data sources
makes it possible to examine and predict traffic conditions in smart cities more accurately …
makes it possible to examine and predict traffic conditions in smart cities more accurately …
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 …
attention in recent years. Thanks to the fast development of vehicular computing hardware …
Spatiotemporal traffic flow prediction with KNN and LSTM
X Luo, D Li, Y Yang, S Zhang - Journal of Advanced …, 2019 - Wiley Online Library
The traffic flow prediction is becoming increasingly crucial in Intelligent Transportation
Systems. Accurate prediction result is the precondition of traffic guidance, management, and …
Systems. Accurate prediction result is the precondition of traffic guidance, management, and …
Artificial intelligence-based traffic flow prediction: a comprehensive review
The expansion of the Internet of Things has resulted in new creative solutions, such as smart
cities, that have made our lives more productive, convenient, and intelligent. The core of …
cities, that have made our lives more productive, convenient, and intelligent. The core of …
Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems
A Boukerche, Y Tao, P Sun - Computer networks, 2020 - Elsevier
In recent years, the Intelligent transportations system (ITS) has received considerable
attention, due to higher demands for road safety and efficiency in highly interconnected road …
attention, due to higher demands for road safety and efficiency in highly interconnected road …
A comparison of deep learning methods for urban traffic forecasting using floating car data
JJ Vázquez, J Arjona, MP Linares… - Transportation Research …, 2020 - Elsevier
Cities today must address the challenge of sustainable mobility, and traffic state forecasting
plays a key role in mitigating traffic congestion in urban areas. For example, predicting path …
plays a key role in mitigating traffic congestion in urban areas. For example, predicting path …
Traffic state prediction using convolutional neural network
R Toncharoen… - 2018 15th International …, 2018 - ieeexplore.ieee.org
Traffic state prediction methods have been considered by many researchers since accurate
traffic prediction is an important part of the successful implementation of the Intelligent …
traffic prediction is an important part of the successful implementation of the Intelligent …
[HTML][HTML] Long-term traffic flow forecasting using a hybrid CNN-BiLSTM model
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 …
short-term traffic flow forecasting is a critical need for the authorities. The availability of good …