ANALYSIS OF MEDIAN OPENINGS ON URBAN ROADS USING THE US HIGHWAY CAPACITY MANUAL 2010 AND MICROSIMULATION (CASE STUDY: TERUSAN JAKARTA STREET, BANDUNG CITY)
Opening the median is a facility for vehicles that will reverse direction. Along the segment Terusan Jakarta Street equipped with a median and a high number of openings with relatively low intermediate distances. Supported by location areas which are settlements, shopping centers, hospitals, scho...
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Format: | Theses |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/46690 |
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Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Summary: | Opening the median is a facility for vehicles that will reverse direction. Along the
segment Terusan Jakarta Street equipped with a median and a high number of openings
with relatively low intermediate distances. Supported by location areas which are
settlements, shopping centers, hospitals, schools and others so that the demand
generated is quite high. The median opening condition results in high vehicle queues,
especially during peak hours.
HCM 2010 originates from the United States, capable of measuring the performance
of urban roads at a macro level. So it was carried out supporting analysis by using a
micro simulation model to produce a more detailed and representative analysis of the
actual conditions. The Jakarta Canal Road section was analyzed using USHCM 2010
and modeled Microsimulation to determine the resulting performance. From the
existing conditions, a scenario is designed as a solution to the problem.
USHCM 2010 tends to produce worse performance due to behavioral factors that are
not necessarily suitable in Indonesia. While microsimulation tends to provide better
performance because not all vehicles are simulated due to limitations on the model.
The distance between openings that are not close together, the wider dimension of the
median opening and adjusting the direction of movement in each approach to minimize
intersections that occur with the number of 2 median openings, reduce the maximum
queue length by 80.75% in the morning and 84.73% in evening. Travel time averaged
28.72% in the morning and 14.98% in the evening.
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