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Abstract
Traffic survey is the main activity and is very important to get data on-road service performance for various traffic engineering purposes, transportation planning, road technical planning, and general planning (planning & programming). Google Maps could predict traffic conditions thanks to data collection collected from global positioning system (GPS) features. This study aims to analyze the comparison of travel speed data and queue length of Google Maps and field survey data. The survey conducted a vehicle speed survey using the MCO method while the length of the queue by counting the number of vehicles and the length of the queue at the intersection for comparison using the Google Maps application in the form of screenshot images or video. Theanalysis used by the Independent sample T-test is a type of statistical test that aims to compare the average of two groups that are not paired with or related to each other. Based on the T-test results, there is no difference in speed between survey results and Google Maps on Kusumanegara and AM Sangaji Utara roads. Based on the T-test results, there is no difference in queue length between the survey results and Google Maps on Kusumanegara and AM Sangaji Utara roads.
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References
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References
Bronson, R. 1991. Teori Dan Soal-Soal Operation Research. Jakarta : Erlangga
Direktorat Jenderal Bina Marga. 1997. Manual kapasitas Jalan Indonesia. Jakarta : Bina Marga,
Djoko. 2007. Survai dan prakiraan volume lalu lintas. Jakarta
Jitesh Tripathi, D. G. (2010). Algorithm for Detection of Hot Spots of Traffic through Analysis of GPS Data. Journal of IEEE Beacon. Mumbai: Thapar Univeristy. https://doi.org/10.1128/JVI.80.3.1191
Hobbs, F.D, 1995, Perencanaan dan Teknik Lalu Lintas, Yogyakarta: Gadjah Mada University Press.
Madhiyah, W. 2019. Verifikasi Tingkat Kerapatan Arus Lalu Lintas di Google Maps pada Beberapa Lampu Apill di Daerah Istimewa Yogyakarta. Skripsi.Yogyakarta : Jurusan Teknik Geodesi, Fakultas Teknik, Universitas Gadjah Mada,
Paramesti, L.A., 2019. Analisis Tingkat Kesesuaian dari Klasifikasi Kerapatan Lalu Lintas dan Waktu Tempuh Google Maps. Skripsi. Yogyakarta:Jurusan Teknik Geodesi, Fakultas Teknik, Universitas Gadjah Mada,
Russel R., 2013. How Does Google Calculate your ETA, [Online] available at, https://www.forbes.com/sites/ quora /2013/07/31/how-does-Google-maps-calculate-your-eta/#2a67afc5466e., diakses pada 15 september 2019,
Sugiyono, 2013 “Metode Penelitian Pendidikan Pendekatan, Kuantitatif, Kualitatif, dan R&D. Bandung: Alfabeta,
Widyantara, I. M. O., Warmayana, I. G. A. K., & Linawati. 2015, Penerapan Teknologi GPS Tracker Untuk Identifikasi Kondisi Traffik Jalan Raya (Vol. 14). Malang: Jurnal Teknologi Elektro.