Please use this identifier to cite or link to this item: http://umt-ir.umt.edu.my:8080/handle/123456789/5914
Title: Outflow Of Traffic From The National Capital Kuala Lumpur To The North, South And East Coast Highways Using Flow, Speed And Density Relationships
Authors: Nik Hashim, Nik Mustapha
Nik Nur Wahidah, Nik Hashim
Keywords: Traffic Congestion
Maximum Flowespeed
Density Speed
Trans-Logarithm Function
Issue Date: 14-Nov-2016
Publisher: Journal of Traffic And Transportation Enggineering
Citation: Vol. 3 (6); 540-548 p.
Abstract: The functional relationships between flow (veh/km), density (veh/h) and speed (km/h) in traffic congestion have a long history of research. However, their findings and techniques persist to be relevant to this day. The analysis is pertinent, particularly in finding the best fit for the three major highways in Malaysia, namely the KL-Karak Highway, KL-Seremban Highway and KL-Ipoh Highway. The trans-logarithm function of densityespeed model was compared to the classical models of Greenshields, Greenberg, Underwood and Drake et al. using data provided by the Transport Statistics Malaysia 2014. The results of regression analysis revealed that the Greenshields and Greenberg models were statistically significant. The trans-logarithm function was also tested and the results were nonetheless without exception. Its usefulness in addition to statistical significance related to the derived economic concepts of maximum speed and the related number of vehicles, flow and density and the limits of free speed were relevant in comparing the individual levels of traffic congestion between highways. For instance, KL-Karak Highway was least congested compared to KL-Seremban Highway and KL-Ipoh Highway. Their maximum speeds, based on three lanes carriage capacity of one direction, were 33.4 km/h for KL-Karak, 15.9 km/h for KL-Seremban, and 21.1 km/h for KL-Ipoh. Their corresponding flows were approximated at 1080.9 veh/h, 1555.4 veh/h, and 1436.6 veh/h.
URI: http://hdl.handle.net/123456789/5914
Appears in Collections:Journal Articles



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.