Yang, Chao-Lung and Sutrisno, Hendri and Chan, Arnold Samuel and Tampubolon, Hendrik and Wibowo, Budhi Sholeh (2021) Identification and analysis of weather-sensitive roads based on smartphone sensor data: A case study in Jakarta. Sensors, 21 (7). ISSN 14248220
Full text not available from this repository. (Request a copy)Abstract
Weather change such as raining is a crucial factor to cause traffic congestion, especially in metropolises with the limited sewer system infrastructures. Identifying the roads which are sensitive to weather changes, defined as weather-sensitive roads (WSR), can facilitate the infrastructure development. In the literature, little research focused on studying weather factors of developing countries that might have deficient infrastructures. In this research, to fill the gap, the real-world data associating with Jakarta, Indonesia, was studied to identify WSR based on smartphone sensor data, real-time weather information, and road characteristics datasets. A spatial-temporal congestion speed matrix (STC) was proposed to illustrate traffic speed changes over time. Under the proposed STC, a sequential clustering and classification framework was applied to identify the WSR in terms of traffic speed. In this work, the causes of WSR were evaluated based on the variables’ importance of the classification method. The experimental results show that the proposed method can cluster the roads according to the pattern changes in the traffic speed caused by weather change. Based on the results, we found that the distances to shopping malls, mosques, schools, and the roads’ altitude, length, width, and the number of lanes are highly correlated to WSR in Jakarta. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Item Type: | Article |
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Additional Information: | Cited by: 3; All Open Access, Gold Open Access, Green Open Access |
Uncontrolled Keywords: | Developing countries; Smartphones; Speed; Classification framework; Classification methods; Highly-correlated; Infrastructure development; Sequential clustering; Spatial temporals; Weather factors; Weather information; Traffic congestion |
Subjects: | T Technology > TJ Mechanical engineering and machinery |
Divisions: | Faculty of Engineering > Mechanical and Industrial Engineering Department |
Depositing User: | Sri JUNANDI |
Date Deposited: | 28 Oct 2024 02:12 |
Last Modified: | 28 Oct 2024 02:12 |
URI: | https://ir.lib.ugm.ac.id/id/eprint/8550 |