A simulation tool as a support for teaching the concepts of urban traffic flow
Sign Up to like & getrecommendations! Published in 2017 at "Computer Applications in Engineering Education"
DOI: 10.1002/cae.21800
Abstract: The teaching experience has shown that some key concepts in the study of traffic flow are unintuitive which means their application to major problems is highly complex for students. Therefore, simulation software of traffic in… read more here.
Keywords: simulation tool; traffic; tool support; traffic flow ... See more keywords
Structure‐Enhanced Graph Learning Approach for Traffic Flow and Density Forecasting
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Forecasting"
DOI: 10.1002/for.70012
Abstract: The rapid expansion of Internet infrastructure and artificial intelligence (AI) has significantly advanced intelligent transportation systems (ITS), which are considered as essential for automating traffic monitoring and management in smart cities. Among ITS applications, traffic… read more here.
Keywords: enhanced graph; forecasting; flow density; traffic flow ... See more keywords
Some general models of traffic flow in an isolated network
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DOI: 10.1002/mma.4278
Abstract: Starting form basic principles, we obtain mathematical models that describe the traffic of material objects in a network represented by a graph. We analyze existence, uniqueness, and positivity of solutions for some implicit models. Also,… read more here.
Keywords: traffic; network; flow isolated; general models ... See more keywords
On Traffic Flow with Nonlocal Flux: A Relaxation Representation
Sign Up to like & getrecommendations! Published in 2019 at "Archive for Rational Mechanics and Analysis"
DOI: 10.1007/s00205-020-01529-z
Abstract: We consider a conservation law model of traffic flow, where the velocity of each car depends on a weighted average of the traffic density $$\rho $$ ρ ahead. The averaging kernel is of exponential type:… read more here.
Keywords: rho; relaxation; varepsilon; traffic ... See more keywords
Traffic flow guidance algorithm in intelligent transportation systems considering the effect of non-floating vehicle
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DOI: 10.1007/s00500-019-03787-w
Abstract: Based on the hypothesis that all vehicles on roads are floating vehicles equipped with vehicular terminals and upload their traffic information to the traffic control center in real time, many traffic flow guidance algorithms are… read more here.
Keywords: vehicle; guidance; flow guidance; traffic ... See more keywords
Back propagation bidirectional extreme learning machine for traffic flow time series prediction
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DOI: 10.1007/s00521-018-3578-y
Abstract: On account of transportation management, a predictive model of the traffic flow is built up that would precisely predict the traffic flow, reduce longer travel delays. In prediction model of traffic flow based on traditional… read more here.
Keywords: traffic; traffic flow; back propagation; machine ... See more keywords
Forecasting vehicular traffic flow using MLP and LSTM
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DOI: 10.1007/s00521-021-06315-w
Abstract: This work presents an analysis of Artificial Neural Network (ANN) based forecasting models for vehicular traffic flow. The forecasting was performed for three periods of time: 1 week, 1 month and 1 year. The vehicular… read more here.
Keywords: work; forecasting vehicular; vehicular traffic; traffic flow ... See more keywords
Incremental federated learning for traffic flow classification in heterogeneous data scenarios
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DOI: 10.1007/s00521-024-10281-4
Abstract: This paper explores the comparative analysis of federated learning (FL) and centralized learning (CL) models in the context of multi-class traffic flow classification for network applications, a timely study in the context of increasing privacy… read more here.
Keywords: traffic flow; federated learning; flow classification; traffic ... See more keywords
A recurrent neural network for urban long-term traffic flow forecasting
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DOI: 10.1007/s10489-020-01716-1
Abstract: This paper investigates the use of recurrent neural network to predict urban long-term traffic flows. A representation of the long-term flows with related weather and contextual information is first introduced. A recurrent neural network approach,… read more here.
Keywords: traffic; long term; traffic flow; recurrent neural ... See more keywords
Short-term vessel traffic flow forecasting by using an improved Kalman model
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DOI: 10.1007/s10586-017-1491-2
Abstract: Vessel traffic flow forecasting is of significant importance for the water transport safety, especially in the multi-bridge water areas. An improved Kalman model combining regression analysis and Kalman filtering is proposed for short-term vessel traffic… read more here.
Keywords: vessel traffic; traffic; flow forecasting; traffic flow ... See more keywords
Assessment of LTE Wireless Accessing for Managing Traffic Flow of IoT Services
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DOI: 10.1007/s11036-018-1092-1
Abstract: There is a tremendous growth in the traffic of the Internet of Things (IoT) devices. Some of the IoT application scenarios may prefer the wireless access supported by a Long Term Evolution (LTE) network. Due… read more here.
Keywords: ewma rate; assessment lte; rate; traffic ... See more keywords