Stochastic considerations in freeway operations and control.
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Stochastic considerations in freeway operations and control. by Donald Richard Drew

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Published by Texas Transporation Institute .
Written in English


Book details:

Edition Notes

SeriesResearch reports -- no. 24-5.
The Physical Object
Pagination54p.
Number of Pages54
ID Numbers
Open LibraryOL13656851M

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  1. Introduction. In Highway Capacity Manual (HCM), , freeway capacity is defined as the maximum hourly rate at which vehicles can be reasonably expected to traverse a point or a uniform roadway section during a given time period under prevailing roadway, traffic, and control must be pointed out that, in HCM, , freeway capacity is defined with the assumption that “there Cited by: Stochasticity of freeway operational capacity and chance-constrained ramp metering The notion of capacity is essential to the planning, design, and operations of freeway systems. However, in the practice freeway capacity is commonly referred as a theoretical/design value without consideration of operational characteristics of freeways.   A stochastic traffic breakdown model for freeway merge bottlenecks is developed to reveal the breakdown mechanisms considering various traffic parameters. The model properties suggest that the probability of traffic breakdown increases with timid driver behavior and the deviation in Cited by: This book is a result of many years of author’s research and teaching on random vibration and control. It was used as lecture notes for a graduate course. It provides a systematic review of theory of probability, stochastic processes, and stochastic calculus. The feedback control is also reviewed in the book.

  Stochastic Processes, Estimation, and Control: The Entropy Approach is the first book to apply the thermodynamic principle of entropy to the measurement and analysis of uncertainty in systems. Its new reformulation takes an important first step toward a unified approach to the theory of intelligent machines, where artificial intelligence and. Stochastic control or stochastic optimal control is a sub field of control theory that deals with the existence of uncertainty either in observations or in the noise that drives the evolution of the system. The system designer assumes, in a Bayesian probability-driven fashion, that random noise with known probability distribution affects the evolution and observation of the state variables. Introduction to Stochastic Processes - Lecture Notes (with 33 illustrations) Gordan Žitković Department of Mathematics The University of Texas at Austin.   Texas Transportation Inst. Res. Rept. I (). [4] D. R. DREW and C. J. KEESE: Freeway level of service as influenced by volume capacity characteristics. Highway Research Record No. 99, Highway Research Board (). [5] D. R. DREW: Stochastic considerations in freeway operations and control. Texas Transportation Inst. Res. Rept. (

Stochastic considerations in freeway operations and control, College Station, Texas, Texas A and M University, Texas Transportation Institute, Research Report DREW D. R. (b). Deterministic aspects of traffic flow. Publisher Summary. This chapter discusses the application of stochastic analysis in economic models based on a few fundamental considerations. It focuses on the need for operational presentation of the mathematical results in stochastic processes, stochastic control, and stochastic programming that have actual or potential usefulness in economic models. Author: Conrad L. Dudek Publisher: Transportation Research Board ISBN: Size: MB Format: PDF, Kindle View: Get Books. Freeway Corridor Management Freeway Corridor Management by Conrad L. Dudek, Freeway Corridor Management Books available in PDF, EPUB, Mobi Format. Download Freeway Corridor Management books, "This synthesis will be of interest to state . The stochastic characteristics revealed in this study could help traffic agencies gain a better understanding of the behavior of freeway traffic during breakdown and recovery periods when they are applying appropriate freeway management strategies such as demand packaging, ramp metering, and short-term traffic prediction, among others.