Development of Unequally-Spaced Traffic Measurement Prediction Model
نویسنده
چکیده
This paper presents the development of unequally-spaced or irregularly observed traffic measurement prediction model. Traffic measurements from detectors are usually observed or assumed to be equally-spaced (e.g., every 30 seconds and 1 minute) for transportation research. However, some traffic measurements may not be observed or assumed to be equally-spaced especially in arterial street and ITS applications. Continuous-time Kalman filtering may be used for modeling unequally-spaced traffic measurements especially for arterial street incident detection purpose.
منابع مشابه
Discrete- vs. Continuous-Time Modeling of Unequally Spaced Experience Sampling Method Data
The Experience Sampling Method is a common approach in psychological research for collecting intensive longitudinal data with high ecological validity. One characteristic of ESM data is that it is often unequally spaced, because the measurement intervals within a day are deliberately varied, and measurement continues over several days. This poses a problem for discrete-time (DT) modeling approa...
متن کاملUnequally Spaced Panel Data Regressions with Ar(1) Disturbances
This paper deals with the estimation of unequally spaced panel data regression models with AR~1! remainder disturbances+ A feasible generalized least squares ~GLS! procedure is proposed as a weighted least squares that can handle a wide range of unequally spaced panel data patterns+ This procedure is simple to compute and provides natural estimates of the serial correlation and variance compone...
متن کاملTESTING FOR AUTOCORRELATION IN UNEQUALLY REPLICATED FUNCTIONAL MEASUREMENT ERROR MODELS
In the ordinary linear models, regressing the residuals against lagged values has been suggested as an approach to test the hypothesis of zero autocorrelation among residuals. In this paper we extend these results to the both equally and unequally replicated functionally measurement error models. We consider the equally and unequally replicated cases separately, because in the first case the re...
متن کاملAlgorithms for Unequally Spaced Fast Laplace Transforms
Vol. 1 (2013) pp. 37-46. ALGORITHMS FOR UNEQUALLY SPACED FAST LAPLACE TRANSFORMS FREDRIK ANDERSSON⇤ Abstract. We develop fast algorithms for unequally spaced discrete Laplace transforms with complex parameters, which are approximate up to prescribed choice of computational precision. The algorithms are based on modifications of algorithms for unequally spaced fast Fourier transforms using Gauss...
متن کاملPavement performance prediction model development for Tehran
Highways and in particular their pavements are the fundamental components of the road network. They require continuous maintenance since they deteriorate due to changing traffic and environmental conditions. Monitoring methods and efficient pavement management systems are needed for optimizing maintenance operations. Pavement performance prediction models are useful tools for determining the op...
متن کامل