Critical gap analysis of merging sections at Kuala Lumpur middle ring road

At merging sections, drivers normally slow down and sometimes need to stop while seeking a suitable gap before merging with the mainstream. Thus, there will always be several observed rejected gaps and an accepted gap which can be used to determine the smallest average gap, so-called critical gap. This study was carried out to determine critical gap values at selected merging sections at the Jalan Tun Razak and the DUKE Expressway uses the Maximum Likelihood method. Data were collected by using videotaping method and the gap acceptance data were extracted for analysis. A gap acceptance event at highway merging sections in this study was redefined due to unavailability of stopping vehicles at the ramp junction. Therefore, the gap data were estimated starting from a ramp’s vehicle passing the end of gore marking to where it merges with the mainstream. The analysis of the critical gap takes into consideration accepted gaps greater than 5 seconds to avoid forced entry due to lead impedance of successive vehicles on mainstream. The critical gap values obtained in this study, according to vehicle classification were ranged between 4.5 to 5.0 seconds, which are slightly smaller if compared to critical gap values for particularly left turn from minor movement at priority junction of the Arahan Teknik (Jalan) 11/87 and the United States Highway Capacity Manual 2000. The findings shall help to study driving behavior of local drivers, especially at priority control facilities such as merging sections

A Relationship Model between Accident Factors and the Traffic Accident Severity Using Logistic Regression Model

The present paper purposes to develop the relationship model between the factors of accidents and severity level of traffic accidents by using multinomial logistic regression model approach, for a case study the traffic accident in Makassar City, Indonesia. In further, the study evaluates the traffic accident factors which significantly influence the traffic accident severity level. In this regard, the outcome variable is the severity level of the traffic accident which has three attributes, i.e., death, serious injury, and minor injury. The explanatory variables involve victim characteristics and traffic accident characteristics. The present study used the traffic accident database during 2012 – 2015 which recorded by the traffic police agency in the city. The model calibration results show that the relationship model has a good accuracy level. The victim position and the collision types significantly influence the severity accident level. The results provide basic information for efforts in reducing traffic accidents.

Critical Gap Analysis Of Merging Sections At Kuala Lumpur Middle Ring Road

At merging sections, drivers normally slow down and sometimes need to stop while seeking a suitable gap before merging with the mainstream. Thus, there will always be several observed rejected gaps and an accepted gap which can be used to determine the smallest average gap, so-called critical gap. This study was carried out to determine critical gap values at selected merging sections at the Jalan Tun Razak and the DUKE Expressway uses the Maximum Likelihood method.  Data were collected by using videotaping method and the gap acceptance data were extracted for analysis. A gap acceptance event at highway merging sections in this study was redefined due to unavailability of stopping vehicles at the ramp junction. Therefore, the gap data were estimated starting from a ramp’s vehicle passing the end of gore marking to where it merges with the mainstream. The analysis of the critical gap takes into consideration accepted gaps greater than 5 seconds to avoid forced entry due to lead impedance of successive vehicles on mainstream. The critical gap values obtained in this study, according to vehicle classification were ranged between 4.5 to 5.0 seconds, which are slightly smaller if compared to critical gap values for particularly left turn from minor movement at priority junction of the Arahan Teknik (Jalan) 11/87 and the United States Highway Capacity Manual 2000.  The findings shall help to study driving behavior of local drivers, especially at priority control facilities such as merging sections

Optimizing of near infrared region reflectance of mix-waste tile aggregate as coating material for cool pavement with surface temperature measurement

The heat generated from dark color asphalt, which is low in surface reflectance mainly contributes to the environmental problem called as urban heat island. Low reflectance at high energy wavelength of sunlight, such as visible light and infrared region will cause the pavement to have high surface temperature, due to high energy absorption from solar radiation. This paper presents the optimization result of cool pavement coating material based on selected tiles aggregate to achieve high near infrared region (NIR) reflectance. Three types of waste tiles were used in this study which are Full Body Porcelain (FBP), Monoporosa (MP) and Porcelain Glaze (PG). All the tiles were prepared in the form of aggregates. A linear model was formed as a function of mix tiles fraction and the analysis of ANOVA suggest that the linear term used for this model is significant. Diagnostics of the model was evaluated using box-cox plot, normal plot of residuals and optimized to predict the mix of the different type of tiles to produce the highest surface NIR reflectance value. The first solution suggests that 100% of MP tile can provide NIR reflectance of 0.53, whereas the second solution suggest that the combination of 50% FBP and 50% of MP tile aggregates could give NIR reflectance value of about 0.51. Experimental work on measuring surface temperature found that optimized samples, M1 and M2 with high NIR reflectance could significantly reduce surface temperature of asphalt pavement at range of 4.1 °C–9.6 °C. In conclusion, the results of optimization is reliable and this method able to provide significant information on optimizing mix of tiles material as to achieve high NIR reflectance value for coating materials of cool-pavement

Alternative design of pipe sleeve for liquid removal mechanism in mortar slab layer

Porosity is one of the mortar's characteristics that can cause problems, especially in the room space that used high amount of water, such as bathrooms. Waterproofing is one of the technology that normally used to minimize this problem which is preventing deep penetration of liquid water or moisture into underlying concrete layers. However, without the proper mechanism to remove liquid water and moisture from mortar system, waterproofing layer tends to be damaged after a long period of time by the static formation of liquid water and moisture at mortar layer. Thus, a solution has been proposed to drain out water that penetrated into the mortar layer. This paper introduces a new solution using a Modified Pipe Sleeve (MPS) that installed at the mortar layer. The MPS has been designed considering the percentage surface area of the pipe sleeve that having contact with mortar layer (2%, 4%, 6%, 8% and 10%) with angle of holes of 60°. Infiltration test and flow rate test have been conducted to identify the effectiveness of the MPS in order to drain out liquid water or moisture from the mortar layer. In this study shows that, MPS surface area 10%, angled 60°, function effectively as a water removal compared to other design

The Correlations Between Airport Suistainability and Indonesian Economic Growth

This study aims to analyze the correlation between airport performance with Gross domestic product-regional (GDP-regional) performance. This research uses quantitative research method with correlation study approach. Based on the T-Value Test Result, the T-value for the Airport Performance variable is 14,264. T-Value Test Result and compared with T-table equal to 1,976 (significant level 0,05) hence T-Count> T-Table so variable of Airport Perform predicted have significant correlation to GDP-regional. This means that good airport performance will either improve the performance of Water Supply, Sewerage, Waste Management and Remediation Activities; Wholesale and Retail Trade; Repair of Motor Vehicles and Motorcycles; Accomodation and Food Service Activities; Financial and Isurance Activities; Business Activities; Public Administration and Defence; Compulsory Social Security; Education; human Health and Social Work Activities; Other Services Activities; Manufacturing; and Electricity and Gas, better

Traffic performance analysis of unsignalized intersection using the Traffic Conflict Parameter technique

The unsignaled intersection of Jalan H Djole – Jalan Pasar Lama in Bekasi City is a densely populated commercial area with high economic activity. The lack of facilities and infrastructure that causes traffic jams at the intersection also raises the potential for conflict. This study aims to analyze the level of service, the type of conflict, and the traffic conflict complexity at an unsignaled intersection. The field survey method obtains primary data on the conflict approach and traffic volume. The analysis showed that the highest traffic volume was 3,810 passenger cars unit/hour with a DS value of 1.06 and LOS F. The number of conflicts that occurred during one hour of observation at peak hours was 420. Most of the conflicts that arose were straight-right, turned movements of 138