Browsing by Author "AMARASINGHA, N"

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Open Access
Experience of Automatic Traffic Data Collection for Development of Adjustment Factors in Colombo Suburban
(Eastern Asia Society for Transportation Studies, 2019-12-31) AHAMED, R. W; LANKATHILAKE, T. N; AMARASINGHA, N
Annual Average Daily Traffic (AADT) is one of the key parameters in the field of transportation. It is traditionally used for planning and designing purposes in road sector. This research was carried out for development of adjustment factors for AADT estimation two-way two-lane road of Colombo suburban. Malabe-Kaduwele roadway was selected to conduct the research. Data were collected using automatic traffic counter (Metro-Count device) at Malabe-Kaduwele road in front of SLIIT Malabe campus for the period of five and half months. From the data, hourly expansion factors (HEF) and daily expansion factors (DEF) were estimated. The data collection period was not sufficient to develop monthly expansion factors (MEF) but an attempt was made to develop factors for months fall in data collection period. The experience obtained in this study could be used for developing adjustment factors in future.
Open Access
Mobile Phone Use at Un-signalized Mid-block Pedestrian Crossings in Sri Lanka
(2019) AMARASINGHA, N; MH EGODAWATTA, H
The number of mobile phone users in the world is recorded at 4.77 billion in 2017 resulting in the pedestrians’ usage of mobile phones even while crossing the road. Data on pedestrian practices at un-signalized crossings in Sri Lanka were analyzed to find factors that contribute to distracted behaviors caused by mobile phone usage. The distracted crossing pedestrian behaviors were checked using four actions on the crossings with the mobile phone usage type. The percentage of mobile phone uses found on the midblock crossings was 7.45% and pedestrians using applications displayed the most unsafe behaviors with the lowest crossing speed of 1.08ms-1 . The crossing behaviors by mobile phone usage types was individually determined using the Chi-square tests. The results showed that pedestrians using mobile phones while crossing were more likely to avoid safe behaviors. Methods to improve the pedestrian’s crossing safety have also been proposed.
Open Access
A Parking Study at Malabe Campus, SLIIT
(Eastern Asia Society for Transportation Studies, 2019-12-31) BOMBUWALA, B. G. A; AMARASINGHA, N
Legally provided surface parking lots were merely not sufficient to accommodate the current demand for parking inside the Malabe campus, SLIIT tempting commuters to park in illegal areas and student playground of the campus. Therefore, this study evaluated the operational and safety issues of the existing facility by means of four surveys. Parking inventory survey was conducted to enumerate existing parking facility and its characteristics. Using a Metro Count roadside unit, vehicle inflow-outflow data were obtained through six months to study parking accumulation characteristics. Vehicle count surveys were conducted to determine parking characteristics such as parking accumulation profile, parking demand, number of users, average parking durations and turnover. Feedback from users regarding parking problem was collected from interview survey. Recommendations were proposed to supply total parking spaces for 399 cars, 365 bikes and 10 buses to meet the demand in 2025 while ensuring the safety and efficiency of parking.
Open Access
Smartphone Applications for Pavement Roughness Computation of Sri Lankan Roadways
(Eastern Asia Society for Transportation Studies, 2019-12-31) GALAGODA, D. Y; AMARASINGHA, N
Pavement Roughness can be expressed as the anomalies in a pavement surface, which will affect the ride quality of a vehicle. Roughness can be expressed as International Roughness Index (IRI). In Sri Lanka, fund allocations for road rehabilitation have become a major issue for government authorities. In this research two android applications were used to estimate the road roughness which can be used to collect road condition data cost effectively. The study was performed on 20 national roadway sections in Sri Lanka. The statistical analysis showed linear regression model, R2= 0.754 based on the relationship between estimated and existing IRI values which were obtained from Road Development Authority (RDA) of Sri Lanka. Based on result from the experiment smartphone application can be determined as an alternative that can be used to determine the surface roughness of pavements, as it provides data efficiently and with technical benefits.