| Autor: |
Hardianto, Dani, Aprilia, Nyimas Arnita |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 2023, Vol. 2846 Issue 1, p1-10, 10p |
| Abstrakt: |
Several big cities in Indonesia continue to try to unravel their traffic jams, including the city of Bekasi as one of the supporting areas for the capital city of Jakarta, which cannot be separated from the problem of congestion. The use of Big Data has the potential to reduce congestion in an area. By extracting the data collected from the location service application which is one of the indicators of traffic performance and then comparing it with the processing of data from the survey results directly in the field using the manual method commonly used. So that it can be known the validity of the extracted data and the comparison of the effectiveness of the methods used. This research is a study that utilizes the Data Base generated from every Smartphone that activates "location services" on its. The time value obtained is then converted into units of speed. To be able to use the data from Google Maps, Based on the results of the study, it is known that there is a method that can be used to get predictions of traffic performance in the form of fluctuations in travel speed with complete data throughout the day and a fairly easy way compared to conventional survey methods. By getting the fluctuation of travel speed in 1 day, it is obtained the prediction of the time of congestion that occurs on the road/network. The fluctuating speed decreased from early in the afternoon at 09.00 until the evening at 19.00. A significant decrease was found in the Stadium-SPBU segment which reached its lowest speed on weekends at 15.00-16.00 with an average speed of 14.7 Km/hour. The results of the validity test of the Google API extraction simulation data with conventional survey results, its known that the performance of simulation results is still valid and worth to used as a method of data collection. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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