Utilizing Tracking App to Project User Pathlines Within Industrial and Crowded Traffic Zone in Big City
Aulia Ibrahim Yeru, Sigit Kusumanugraha (*), Soni Sadono, Didit Endriawan, Teddy Ageng Maulana

Faculty of Creative Industry, Telkom University
Jl. Telekomunikasi Jl. Terusan Buah Batu, Sukapura, Kec. Dayeuhkolot, Bandung, Jawa Barat 40257
*sigitkus[at]telkomuniversity.ac.id

Abstract

Traffic congestion is a big problem in any big cities. The government is expanding the city to the outskirts to overcome this problem, but the industrial zones are also in the outskirts. So the mix between private transportations and heavy transportations are now jamming the outskirts. People living in the vicinity need to find their own jogging and cycling track amongst the commuting vehicles.

In this research, we are going to put tracking apps inside the joggers and the cyclists smartphones and projecting the pathlines generated by the apps to define which paths are friendly for health and distanced from the traffic. The ideal result will be generated from about 10 joggers or cyclists, or more, for about 1 week data collecting and analysis. We are going to need another analitical method to define the conclusions needed for this research.

Keywords: mapping; gps; satellite; user; data; pathlines; traffic; tracking; city;

Topic: Information Engineering