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In order to effectively respond to potential traffic dangers caused by high speed discreteness and uneven density distribution of expressways under rainfall conditions and achieve the goals of smoothing traffic flow, ensuring safe travel and reducing traffic congestion, a density difference-based variable speed limit control model for expressways under rainfall conditions was built in this paper to...
In view of the major cause for traffic congestion on urban expressways and based on the in-depth analysis and comparison of plenty of related research at home and abroad, the analysis on on-ramp metering and metering threshold calibration in the study area was conducted to establish a traffic flow and traffic signal control model with the road network area from Jinma Overpass to Dashuying Overpass...
Production forecasts for a given reservoir, with associated uncertainties, must be based on a stochastic model of the reservoir coupled with a fluid flow simulator. These flow simulations may be computationally prohibitive if they are performed on the fine scale geostatistical model. To accelerate these computations, coarsened (or upscaled) reservoir models are generally simulated. The recovery predictions...
In order to identify traffic state of road section and provide decision support for traffic management, a method was proposed for road section traffic state identification based on vague sets. The traffic state decision matrix was constructed, and then the identification steps for road section traffic state were given in detail. Then the knowledge acquisition method of regional road network traffic...
Because the parameters of a car-engine are of the discreteness, nonlinear and uncertain characteristics, it is hard to control accurately the excess air coefficient and the spark advance angle in dynamic procedure. A self-adapting control based on immune neural network was proposed. It absorbs well the advantages both off-line optimization of the fuzzy control parameters on genetic arithmetic and...
A method of multimode information collection based on in-vehicle network was introduced aiming at the problems that existing information measure methods of automobile are difficult to satisfy the need on measure precision, steady state and dynamic response at the same time, and the controllers are difficult to share information resources. It centralized collects automobile information based on FlexRay...
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