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Instantaneous Speed Ratio of Traffic Flowing through a Merging Area at Kilometer 31.6 on the Highway from Shah Alam to Kuala Lumpur

Nur Syahirah Husin Basri, Nurul Akmal Mohamed, Muhammad Akram Adnan, Nurul Farihan Mohamed and Nurul Hila Zainuddin

Pertanika Journal of Tropical Agricultural Science, Volume 28, Issue 2, April 2020

Keywords: Continuous flow model, heat equation, highway operation, macroscopic model, partial differential equation

Published on: 15 April 2020

This study aims to evaluate a continuous flow model that involves a ramp area at kilometer 31.6 on the highway from Shah Alam to Kuala Lumpur, to analyze the findings of numerical results of instantaneous speed ratios and to observe the convergence patterns for each section. The continuous flow model assumes traffic flow to be similar to the heat equation in regard to the concept of the one-dimensional viscous flow of a compressible fluid. For the methodology, for solving an initial value-boundary value problem, an initial condition together with a set of boundary conditions are required to solve the partial differential equation. The boundary conditions are chosen to assess the suitableness of the design of the entrance ramp in Malaysia, which is for right hand drive traffic. Highway traffic data were collected on the tapered acceleration lane and obtained by the videotaping method. The Maple programming language was used to write a numerical code in order to evaluate the instantaneous speed ratio in terms of a Fourier series. Our results show that the realistic results of instantaneous speed ratios on the ramp at kilometer 31.6 from Shah Alam to Kuala Lumpur are acceptable when compared to the theoretical results. Therefore, a very minimal collision rate is expected due to the well-designed ramp at kilometer 31.6 from Shah Alam to Kuala Lumpur. It is beneficial to study the mathematical model and theories of traffic flows on the merging area to enhance the efficiency of the traffic flowing on highways.

ISSN 1511-3701

e-ISSN 2231-8542

Article ID

JST-1768-2019

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