JGISE-Journal of Geospatial Information Science and Engineering
Vol 2, No 2 (2019): December

Suitability Level Analysis of Google Map’s Travel Time and Traffic Density Classification

Laksita Amelia Paramesti (Gadjah Mada University)
Dedi Atunggal (Gadjah Mada University)



Article Info

Publish Date
30 Dec 2019

Abstract

 Traffic congestion is one of problem that occur in big cities, therefore people need traffic information to determine traffic condition. One of many applications that provides traffic information is Google Maps. From the information generated, there are insuitability between google maps’s traffic update and travel time with the actual condition. So the aim of this study is to analyze the suitability level of traffic density classification and google maps travel time. Based on the speed range by Google, the level of suitability can be determined, while the google maps travel time is done by statistical tests. The statistical test used is a statistical test of two parameters using table t with 95% confidence level. The results of this study indicate that the level of suitability of the traffic classification only reaches 35%. The low level of suitability is caused by network latency. While information on google maps travel time does not have a significant difference in actual time.

Copyrights © 2019






Journal Info

Abbrev

jgise

Publisher

Subject

Engineering

Description

JGISE also accepts articles in any geospatial-related subjects using any research methodology that meet the standards established for publication in the journal. The primary, but not exclusive, audiences are academicians, graduate students, practitioners, and others interested in geospatial ...