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Strategies To Overcome Traffic Congestion In Jakarta Through Color Clustering Car (C3) Approach
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The level of congestion in Jakarta is getting higher by diverse-complex factors;
one of which is caused by the unbalanced growth of vehicles volume with the
length of road. This research aimsto find ways to overcome traffic through the
private vehicles restriction approach based on the vehicle colors, known as color
clustering or color grouping. The purpose of this paper is to (1) Determine the
profile and vehicle color trends that exist in DKI Jakarta, (2) Determine the
contribution of color clustering method in reducing traffic congestion in
Jakarta.Data are collected through observation and interview surveys. The data
collection is done by using systematic sampling. Data analysis applies quantitative
statistical data analysis and daily traffic average (LHR) formula. Results
showthere is trend in private car colors that is dominated by black (39.4%), silver
(28.5%), white (21.2%), red (5.3%), blue (3.4 %), green (1.18%), gold (0.6%),
yellow (0.2%), and pink (0.05%). Implementing color clustering in reducing the
traffic level varies in different scenarios with minimal contribution limit at the
average of 20%. Contributions can be improved by adding the time off for each
color group in a scheduling period.
Suharto Abdul Majid - Personal Name
Tjuk Sukardiman - Personal Name
Aang Gunawan - Personal Name
Andri Primadi - Personal Name
Hendro Kuntohadi - Personal Name
R. Didiet Hidayat - Personal Name
Irwan Chairuddin - Personal Name
Nuryadi - Personal Name
Syaiful Anwar - Personal Name
Tjuk Sukardiman - Personal Name
Aang Gunawan - Personal Name
Andri Primadi - Personal Name
Hendro Kuntohadi - Personal Name
R. Didiet Hidayat - Personal Name
Irwan Chairuddin - Personal Name
Nuryadi - Personal Name
Syaiful Anwar - Personal Name
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