Minimizing Toll Payment Queue using GPS-Based Mobile Applications

Abstract

Congestion is a complicated problem that often occurs in big cities. Congestion occurs not only on arterial roads but also on toll roads. The impact of this traffic jam is extraordinary. According to data from the Ministry of National Development Planning of the Republic of Indonesia, in the State capital of Indonesia alone, the value of losses due to congestion every year reaches 65 trillion. In addition, a study found the fact that congestion also increases the risk of heart failure, high blood pressure, and coronary artery disease. Since 2017 the Indonesian Government through the regulation of the Ministry of Public Works has required electronic payment transactions on toll roads. The media used is an electronic toll card. By using this media, the vehicle must really stop at the Automatic Toll Gate to be able to tap the electronic toll card. But the relatively long reading time often actually adds to the traffic jam. This study aims to create a system with a GPS-based mobile application to reduce the toll queue payment at the Automatic Toll Gate through simulations using Vissim software. With Vissim software, an analysis of six simulation scenarios was carried out. The simulation results show that a GPS-based mobile application has succeeded in reducing the toll payment queue. In the ideal scenario of a small vehicle queue, there is an average queue reduction of 56.43%, an average reduction of 68.99% delay, a reduction in fuel use by 22.67% and a reduction of CO2, NOx and PM10 exhaust gases respectively amounted to 46.21%, 64.39% and 63.45%.