Smarter traffic management with evidence-based decision support system

In the context of persistent, inconvenient, and costly traffic congestion, the challenge lies in finding effective and efficient traffic management solutions. The current approach of trial-and-error implementation by Local Government Units (LGUs) lacks a comprehensive evaluation capability, leaving them unequipped to assess the effectiveness of various traffic schemes.

Therefore, there is a need to address this issue by developing a systematic and reliable method for evaluating traffic management strategies, enabling LGUs to make informed decisions and implement more effective measures to alleviate congestion.

To address this, the introduction of LocalSIM, a microscopic traffic simulation software, empowered road and traffic engineers to make informed decisions and effectively manage traffic, serving as a much-needed decision support system for LGUs.

Features

Without a decision tool, our LGUs would normally adopt a social experiment, a trial-and-error implementation of schemes that normally results in undesirable and costly outcomes in terms of money, time, energy, and public criticism. We should move towards a smarter way of making traffic management decisions that are evidence-based, and less costly. As the project manager of this research, it had been my motivation from the start to provide our local traffic engineers and planners a technological solution to address this challenge.

Hilario Sean O. Palmiano, DEng
Project Leader