Results 11 to 20 of about 144,271 (315)
Promet (Zagreb), 2014 Traffic flow forecasting is useful for controlling traffic flow, traffic lights, and travel times. This study uses a multi-layer perceptron neural network and the mutual information (MI) technique to forecast traffic flow and compares the prediction ...
Seyed Hadi Hosseini +3 more
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Traffic Flow on a Road Network [PDF]
SIAM Journal on Mathematical Analysis, 2005 Summary: This paper is concerned with a fluid-dynamic model for traffic flow. More precisely, we consider a single conservation law, deduced from the conservation of the number of cars, defined on a road network that is a collection of roads with junctions.
Giuseppe Maria Coclite +2 more
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Airport Arrival Flow Prediction considering Meteorological Factors Based on Deep-Learning Methods
Complexity, 2020 This study presents a combined Long Short-Term Memory and Extreme Gradient Boosting (LSTM-XGBoost) method for flight arrival flow prediction at the airport. Correlation analysis is conducted between the historic arrival flow and input features.
Zhao Yang +5 more
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Impact Analysis of Demand Management on Runway Configuration in Metroplex Airports
IEEE Access, 2020 Congestion in airports and metroplexes is increasingly becoming a key bottleneck in the global air transport system. It is largely due to inefficient utilization of runway resources and its consequences of imbalance between demand and capacity.
Jianan Yin +5 more
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Co-Forecasting for Multi-modal Traffic Flow Based on Graph Contrastive Learning [PDF]
Jisuanji kexue, 2023 An accurate traffic flow prediction in urban areas is of important significance to provide guidance for urban vehicle scheduling and public transportation system optimization.So far,most existing traffic flow prediction methods only consider a single ...
XIAO Yang, QIN Jianyang, LI Kenli, WANG Ge, LI Rui, LIAO Qing
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Fundamentals of traffic flow [PDF]
Physical Review E, 1997 From single vehicle data a number of new empirical results concerning the density-dependence of the velocity distribution and its moments as well as the characteristics of their temporal fluctuations have been determined. These are utilized for the specification of some fundamental relations of traffic flow and compared with existing traffic theories.
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Large-scale traffic flow simulation based on intelligent PSO [PDF]
MATEC Web of Conferences, 2022 With the rapid development of urban traffic, a large number of vehicles in cities not only bring convenience to people, but also bring a series of traffic problems, including traffic congestion and high traffic accident rates.
Liu Zeyu, Yang Gongping
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Prediction model for short‐term traffic flow based on a K‐means‐gated recurrent unit combination
IET Intelligent Transport Systems, 2022 Short‐term forecasting of traffic flow is an indispensable part of easing traffic pressure. Considering that different traffic flow patterns will affect the short‐term traffic flow prediction results, a combined method based on the K‐means clustering ...
Zhaoyun Sun +4 more
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Analysis of Traffic Flow Equilibrium in Urban Road Network Based on Floating Vehicle Data [PDF]
E3S Web of Conferences, 2021 Based on the floating vehicle data, this paper analyzes the equilibrium of urban road network traffic flow. This can guide traffic flow distribution and provide reliable basis for traffic control.
Yu Yi, Gong Hui, Mo Xianglun
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Modeling Congestion Propagation in Multistage Schedule within an Airport Network
Journal of Advanced Transportation, 2018 In order to alleviate flight delay it is important to understand how air traffic congestion evolves or propagates. In this context, this paper focusses on the aggravation of airport congestion by the accumulation of delayed departure flights. We start by
Xiaoxu Dai +3 more
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