Strategies To Overcome Traffic Congestion In Jakarta Through Color Clustering Car (C3) Approach

Suharto Abdul Majid, Aang Gunawan, Andri Primadi, Hendro Kuntohadi, R. Didiet Rachmat Hidayat, Irwan Chairuddin, Nuryadi Nuryadi, Syaiful Anwar, Tjuk Sukardiman

Abstract


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.


Keywords


Traffic Congestion, Vehicle Color, Transportation Demand Management, Car Pooling

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DOI: https://doi.org/10.25292/atlr.v1i1.129

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Advances in Transportation and Logistics Research

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