Improving the Traffic Management System Based on Remote Sensing Data Imagery

Abstract

Traffic management aims to increase or maintain the standard of transport services. The use of intelligent transport systems, such as traffic signals and variable message signs, can aid in the efficient management of traffic flow. Traffic management is a relatively inexpensive form of road management, but its impact is generally less studied. This study evaluated the level of road services (LOS) provided by Prof. Dr. Ir. Herman Yohanes Road based on the fusion of remote sensing data imagery and field surveys. The study found the LOS before the traffic management to be category E LOS, but it increased into category C after the traffic management. The increase heavily implied by the road capacity which shown the decrease of volume of vehicles from 3.030 to 993 and an increase of vehicle’s speed from 25 km/h to 40–60 km/h. Questionnaires were used to assess the effects of traffic management on road satisfaction and revenue changes among selected business along Prof. Dr. Ir. Herman Yohanes Road. The increase in LOS seems to also increase the road satisfaction due to less volume of vehicles and better travel speed. Despite the increase on both LOS and road satisfaction, annual revenue seemed to decrease for 20% on micro business, 50% on small business, 19,4% on medium business, and 40% on big business. The findings also include a detailed level of service road map indicating the differences of before and after the implementation of traffic management measures