基于模糊支持向量机的城市道路交通状态分类
李清泉， 高德荃， 杨必胜 - 吉林大学学报(工学版), 2009 - xuebao.jlu.edu.cn
This paper uses fuzzy support vector machines (FSVM) algorithm to classify urban road
traffic status. Fuzzy membership handles linguistic expression bias of human perception and …
traffic status. Fuzzy membership handles linguistic expression bias of human perception and …
A data-driven multi-fidelity approach for traffic state estimation using data from multiple sources
N Alemazkoor, H Meidani - IEEE Access, 2021 - ieeexplore.ieee.org
Accurate estimation of traffic state is crucial in the successful implementation of advanced
traveler information systems and advanced traffic management systems. Currently, traffic …
traveler information systems and advanced traffic management systems. Currently, traffic …
Comparative evaluation of density estimation methods on different uninterrupted roadway facilities: Few case studies in India
Traffic density is one of the fundamental macroscopic characteristics and it is of prime
importance when assessment of a facility has to be done based on both users as well as …
importance when assessment of a facility has to be done based on both users as well as …
Calibration and validation of a switched linear macroscopic traffic model
This paper deals with macroscopic traffic modelling. It investigates real magnetic sensor
data, provided by the Performance Measurements System (PeMS), in order to identify some …
data, provided by the Performance Measurements System (PeMS), in order to identify some …
On freeway traffic density estimation for a jump Markov linear model based on Daganzo's cell transmission model
K Stanková, B De Schutter - 13th International IEEE …, 2010 - ieeexplore.ieee.org
This paper deals with problem of the real-time freeway traffic density estimation/prediction
for a jump Markov linear model based on Daganzo's cell transmission variant of the Lighthill …
for a jump Markov linear model based on Daganzo's cell transmission variant of the Lighthill …
Globally optimal solutions to the on-ramp metering problem-Part 1
G Gomes, R Horowitz - Proceedings. The 7th International …, 2004 - ieeexplore.ieee.org
A mathematical programming approach to the freeway on-ramp metering problem is
formulated. The objective function is a linear combination of mainline and on-ramp flows …
formulated. The objective function is a linear combination of mainline and on-ramp flows …
A new switched state jump observer for traffic density estimation in expressways based on hybrid-dynamic-traffic-network-model
W Zha, Y Guo, H Wu, MA Sotelo, Y Ma, Q Yi, Z Li… - sensors, 2019 - mdpi.com
When faced with problems such as traffic state estimation, state prediction, and congestion
identification for the expressway network, a novel switched observer design strategy with …
identification for the expressway network, a novel switched observer design strategy with …
Vehicle density and velocity estimation on highways for on-ramp metering control
O Rosas-Jaimes, L Alvarez-Icaza - Nonlinear Dynamics, 2007 - Springer
A scheme for vehicle density and velocity estimation in a stretch of highway based on a
modified cell transmission model [CF Daganzo, Transportation Research, Part B, 28B (4) …
modified cell transmission model [CF Daganzo, Transportation Research, Part B, 28B (4) …
A supervised switching-mode observer of traffic state and parameters and application to adaptive ramp metering
Traffic state observers derived from the cell transmission model (CTM) are vulnerable to
incorrect information and time variation of traffic flow parameters, in particular the critical …
incorrect information and time variation of traffic flow parameters, in particular the critical …
[图书][B] Macroscopic modeling and identification of freeway traffic flow
LM Muñoz - 2004 - search.proquest.com
This dissertation concerns the development of macroscopic freeway traffic models that are
computationally efficient and suitable for use in real-time traffic monitoring and control …
computationally efficient and suitable for use in real-time traffic monitoring and control …