Track: Transportation and Traffic

Abstract

This research investigates the traffic enforcers’ assignment problem on Epifanio Delos Santos Avenue (EDSA) through the application of lean and agile principles. Lean is the elimination of inefficient work, and Agile is the adaptability to changes in a rapid situation of changes in the environment. The traffic enforcers’ main tasks are to handle traffic congestion, apprehend traffic violators and assist in traffic accidents. Traffic Enforcers need to be deployed dynamically on certain location areas in the vicinity of EDSA in order to increase their conspicuousness and presence, in an attempt to prevent or reduce traffic offences, road accidents and traffic congestion. Thus, we develop a lean and agile workforce model and apply them to one particular sector in EDSA for the illustration of the model. The results of the model is compared to the current deployment of traffic enforcers as well as the type of traffic enforcer that was deployed: Permanent (TA1) and Job Order (TE3) traffic enforcers. Afterwards, a location-allocation analysis using Geographic Information System was conducted by the researchers to identify the optimal location points given a set of potential location points. The results of the model present a lean-agile workforce model aiming to configure the deployment and location-allocation of traffic enforcers per shift with a minimum number of traffic enforcers, minimum cost possible and maximized police visibility.

Keywords

Lean-Agile, Workforce Model, Traffic Enforcers, Heuristic Optimization Algorithm, Geographic Information System