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real-time-estimation
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Real-time Traffic Flow and Vehicle Composition Estimation
, M.Sc. Thesis Sharif University of Technology ; Samimi, Amir (Supervisor)
Abstract
Real-time prediction of traffic flow and vehicle composition in urban network is the main purpose of this research. A two-step model is presented as an alternative for costly methods of data collection. At the first step, Passenger Car Equivalent of flow is estimated by an Artificial Neural Network model, and then a Multiple Discrete-Continuous Extreme Value model defines vehicle composition. Real-time speed data from Google-Maps API, land-use information, and transportation network specifications of Tehran are used. The observed traffic from 95 Automatic Number Plate Recognition cameras are gathered from the CBD zone of Tehran on spring 2017. Goodness of fit and Root Mean Square Error of...
Real-time estimation of the volumetric efficiency in spark ignition engines using an adaptive sliding-mode observer
, Article Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering ; Volume 229, Issue 14 , December , 2015 , Pages 1925-1933 ; 09544070 (ISSN) ; Salehi, R ; Salarieh, H ; Alasty, A ; Vossoughi, G ; Sharif University of Technology
SAGE Publications Ltd
2015
Abstract
Proper operation of an engine requires accurate measurement or estimation of the engine's air charge provided to the control unit which reduces both the engine's fuel consumption and the emissions. The volumetric efficiency of the engine is a key variable in computations using the engine control unit to estimate the air charge using the speed-density equation. This paper presents a new approach for real-time estimation of the volumetric efficiency using the sliding-mode methodology. An adaptive sliding-mode observer is proposed which relies on measurements from the engine's conventional sensors. The observer is shown to estimate asymptotically the volumetric efficiency of the engine for...