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An analysis of macroscopic traffic flow models

Saurabh Saxena

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Abstract

The deterministic relationships between the traffic stream variables - flow, density and speed, on the roads of a city, are studied and established using the data collected through a photographic traffic survey. Different traffic flow models have been studied by using the least square fit to the data. The tests of significance of regression are also made to test the strength of relationship. These models can be used in studying the capacity, behaviour of traffic flow and traffic wave analysis, with the objective of improving present behaviour of traffic and planning future facilities on a scientific basis.

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What this paper is about

The deterministic relationships between the traffic stream variables - flow, density and speed, on the roads of a city, are studied and established using the data collected through a photographic traffic survey. Different traffic flow models have been studied by using the least square fit to the data. The tests of significance of regression are also made to test the strength of relationship. These models can be used in studying the capacity, behaviour of traffic flow and traffic wave analysis, with the objective of improving present behaviour of traffic and planning future facilities on a scientific basis.

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Available abstract

The deterministic relationships between the traffic stream variables - flow, density and speed, on the roads of a city, are studied and established using the data collected through a photographic traffic survey. Different traffic flow models have been studied by using the least square fit to the data. The tests of significance of regression are also made to test the strength of relationship. These models can be used in studying the capacity, behaviour of traffic flow and traffic wave analysis, with the objective of improving present behaviour of traffic and planning future facilities on a scientific basis.

Key concepts: Traffic flow (computer networking), Regression analysis, Flow (mathematics), Transport engineering, Statistics, Computer science, Mathematics, Engineering

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