SPEED - DENSITY RELATIONSHIP ON EXCLUSIVE MOTORCYCLE LANE - CASE STUDY OF FEDERAL HIGHWAY ROUTE 2

• Main Author: YUSOF, MOHD RAFIZUDIN
• Format: Thesis
• Language: English; English; English; English; English; English
• Published: 2011
• Online Access: http://utpedia.utp.edu.my/3038/1/1-Introduction.pdf; http://utpedia.utp.edu.my/3038/3/3-Research_Methodologyx.pdf; http://utpedia.utp.edu.my/3038/4/4-Result%2C_Analysis_%26_Discussionx.pdf; http://utpedia.utp.edu.my/3038/5/5%266-Conclusion_%26_Referencesx.pdf; http://utpedia.utp.edu.my/3038/16/2-Literature_Review.pdf; http://utpedia.utp.edu.my/3038/17/7-Appendix.pdf; http://utpedia.utp.edu.my/3038/

In Malaysia, motorcycles represented more than half of all registered vehicle population. In addition, motorcyclists contributed almost 70% of all injuries in accidents and almost 60% of the fatal accidents that occurred on Malaysian roads. This alarming figure warrants immediate road safety strategies targeted specifically at motorcyclists. An effective engineering approach to tackle this problem is by segregating these vulnerable road users from other motorized traffic through the provision of an exclusive motorcycle lane. Motorcyclists are compelled by law to use an exclusive motorcycle lane and other vehicles are prohibited by law from using it. Prior to constructing an exclusive motorcycle lane, there is a need to understand the parameters involved in capacity analysis used to assess the supply side, quality of flow and also the design life of this facility. Therefore, this research presents a study to analyse the traffic flow data that collected from the existing motorcycle track of Federal Highway Route 2 by using the mathematical relationships such as Greenshields’ Model, Greenberg Model, Underwood Model and Drake et al. Model. The resulting analysis can be used by engineering practitioners like traffic engineers with a better understanding of motorcyclists’ safety needs and incorporate these needs in the upgrading and maintenance of existing roads and the planning, design and construction of new roads. Result indicates that the Drake et al. Model is the most suitable model because of the R-square is 0.7153. It is the highest value of R-square from four other models used in this study.