The main objective of this research is to develop a model to predict congestion. This model is developed using the techniques of simulation and as the model requires dynamic modeling, DYNAMO is used. This model incorporates the three-regime linear model for establishing a relationship between speed and density of the traffic stream. The input to this model is obtained from a presence type detector system. These measurements are then used to calculate various parameters and then the state of the traffic flow for the vehicular stream in the test zone is determined. This model also predicts the state of the traffic stream in any other section of the highway behind the test section. The model developed is flexible and easy to incorporate in any traffic control system.
This research is also intended to simulate the various traffic stream models and evaluate their performance regarding their capability to represent highway traffic flow conditions. A thorough review of the fundamentals of traffic flow is required to achieve these objectives. The simulation models developed for these traffic stream formulae incorporate various measures of effectiveness to determine congestion. These measures of effectiveness are used to define congestion. The study of the various traffic stream models is necessary in order to develop a flexible and efficient model to predict congestion. The congestion prediction model developed incorporates all the parameters required to define congestion. / Master of Science
| Identifer | oai:union.ndltd.org:VTETD/oai:vtechworks.lib.vt.edu:10919/44849 |
| Date | 19 September 2009 |
| Creators | Ramakrishna, Sajja D. |
| Contributors | Civil Engineering |
| Publisher | Virginia Tech |
| Source Sets | Virginia Tech Theses and Dissertation |
| Language | English |
| Detected Language | English |
| Type | Thesis, Text |
| Format | viii, 149 leaves, BTD, application/pdf, application/pdf |
| Rights | In Copyright, http://rightsstatements.org/vocab/InC/1.0/ |
| Relation | OCLC# 26650523, LD5655.V855_1992.R363.pdf |
Page generated in 0.0023 seconds